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In the modern era of industrial automation, the term Industry 4.0 is defined as the fourth industrial revolution. This is a phenomenon where technologies from various layers of an enterprise are interconnected and form a meshed network of self-regulated, adaptive, re-configurable and self-optimizing devices. These devices vary from Programmable Logic Controller, embedded PCs, edge nodes, smart sensors, and actuators, working as proxies or mediators for a real object in the software domain integrating into Intelligent Enterprise Applications. Heterogeneous configuration interfaces of these devices hinder smooth integration and configuration process. A unified way of interacting with the devices for configuration is well-defined in the IEC 61499 standard. The standard defines the commands, interaction behavior, and interface description for the control devices and engineering tools. There are implementations of the configuration interface in XML and Binary XML, which are widely used for their flexible, extensible, and human-readable nature. Whereas the OPC UA can offer an open configuration interface for the IEC 61499 devices and software tools, with built-in interoperability solutions. This paper introduces the concept of a new configuration interface for the IEC 61499 devices using OPC UA information modeling concepts.

Dealing with heterogeneous data underlying fuzzy XML databases is challenging for any task of document management and knowledge discovery, since the structural heterogeneity and uncertainty of the large number of XML data sources make it difficult to effectively answer the structured query, especially the tree-pattern query. To address this issue, we propose a novel framework for managing fuzzy XML queries in a heterogeneous environment in this paper. In particular, we devise a holistic algorithm for matching tree-patterns over heterogeneous fuzzy XML data. Our approach adopts a compact stack technique and generates the matches by one scan on the relevant data associated with the tree-pattern, which eliminates re-scanning unnecessary portions of XML documents and redundant intermediate results. Finally, a comprehensive experimental evaluation conducted on real and synthetic data sets is carried out to show the significance of our approach as a solution for querying heterogeneous data in fuzzy XML documents.

A new structure for streaming the XML data is proposed which guarantees confidentiality of the XML data over the wireless stream.An access mechanism is proposed to efficiently process XML queries over the encrypted XML stream. Recently, the use of XML for data broadcasting in mobile wireless networks has gained many attentions. One of the most essential requirements for such networks is data confidentiality. In order to secure XML data broadcast in mobile wireless networks, mobile clients should obey a set of access authorizations specified on the original XML document. In such environments, mobile clients can only access authorized parts of encrypted XML stream based on their access authorizations. Several indexing methods have been proposed in order to have selective access to XML data over the XML stream. However, these indexing methods cannot be used for encrypted XML data. In this paper, we define a new structure for XML stream which supports data confidentiality of XML data over the wireless broadcast channel. We also define an access mechanism for our proposed structure to efficiently process XML queries over the encrypted XML stream. The experimental results demonstrate that the use of our proposed structure and access mechanism for XML data broadcast efficiently disseminates XML data in mobile wireless networks.

Since XML has become a standard for information exchange over the Internet, more and more data are represented as XML. XML keyword search has been attracted a lot of interests because it provides a simple and user-friendly interface to query XML documents. This paper provides a survey on keyword search over XML document. We mainly focus on the topics of defining semantics for XML keyword search and the corresponding algorithms to find answers based on these semantics. We classify existing works for XML keyword search into three main types, which are tree-based approaches, graph-based approaches and semantics-based approaches. For each type of approaches, we further classify works into sub-classes and especially we summarize, make comparison and point out the relationships among sub-classes. In addition, for each type of approach, we point out the common problems they suffer

XML-based publish/subscribe (pub/sub) systems have been receiving a great deal of attention from the academic community and the industry. This research focuses on efficient pub/sub systems and considers the devising of XML-based pub/sub systems from the perspective of subscription/query and publication message delivery. Existing research mainly focuses on the efficiency of XML publication message filtering algorithms. Not much research, however, has considered using the system or the communication model in the context of XML publication messages delivery. This paper presents innovative XML delivery techniques, the cross-layer model and the peer model; both techniques make use of publisher and customer edge brokers for efficient XML subscription aggregation and publication message delivery. The primary contribution of the proposed models is the reduction of the number of XML publication message filtering and XPath query aggregation operations performed in the conventional filter-based XML multicast model, which has a high computational overhead. The main idea is to store user subscriptions at customer and publisher edge brokers which are either directly connected or close to the subscribers and the publisher, respectively. We have performed a number of experiments within a controlled local area network (LAN) environment for demonstration of the basic concepts underlying the techniques and in the Amazon cloud environment that emulates the wide area network (WAN). Both the cross-layer and the peer models can reduce the end-to-end (E2E) delay in message delivery. For example, the results obtained from experiments in a LAN demonstrate several-fold performance improvement in E2E delay for both the cross-layer and the peer models compared to the conventional filter-based XML multicast model, and the results using the cloud show an improvement as high as 64% in E2E delay for the peer model over the multicast model.

The architecture of an integrated energy monitoring system is discussed. Merits and drawbacks of various data interchange formats are described. Basic types of the information transmitted in the system are pointed out. Key principles of XML messages formation are shown as well as various aspects of subject area influence on the XML protocol structure.

Driven by the emerging network data exchange and storage, XML documents classification has become increasingly important. Most existing representation model and conventional learning algorithm are defined on certain XML documents. However, in many real-world applications, XML datasets contain inherent uncertainty, which brings greater challenges to classification problem. In this paper, we propose a novel solution to classify uncertain XML documents, including uncertain XML documents representation and two uncertain learning algorithms based on Extreme Learning Machine. Experimental results show that our approaches exhibit prominent performance for uncertain XML documents classification problem.

Due to recent development in mobile devices, the mobile device utilization and many related applications have been increasing. Most of initial applications on mobile devices just showed simple information, but now they processes huge data. However, smart devices have certain limitations in processing massive data. Especially, if the size of data increases, the speed of data processing adversely decreases, so the performance of programs also decreases. If hardware specification of the mobile devices is not enough to handle it, response time will be drastically delayed. To overcome these drawbacks, most of application running on mobile devices communicate with their servers to manage data. XML is a proper language for data communication to send and receive data between servers and mobile devices, because it defines rules of document`s format and it is a textual data format and small-sized language. However, mobile devices have limitation such as memory, CPU and wireless network to process huge data and XML also takes a lot of time to communicate with servers and devices and handle data, so it could be overhead in service time. Binary XML is an alternative of performance improvement in data processing, which has XML`s benefits and minimizes the XML size by binary coding. However, most of binaryXML which are used on applications don`t fit on mobile applications. In this paper, we surveyed many kinds of binaryXML, compared merits and demerits to find a binaryXML for mobile applications. We propose how to use binary XML and implemented an electronic attendance system using binary XML to overcome the limitation of XML and to reduce the load of data communications between servers and devices.

Mining the web data is one of the emerging researches in data mining. The HTML can be used for maintaining the web data but it is hard to achieve the accurate web mining results from HTML documents. The XML documents make more convenient for finding the properties in web mining. Association rule based mining discovers the temporal associations among XML documents. But this kind of data mining is not sufficient to retrieve the properties of every XML document. Finding the properties for set of similar documents is better idea rather than to find the property of a single document. Hence, the key contribution of the work is to find the meaningful clustered based associations by association rule based clustering. Therefore, this paper proposes a hybrid approach which discovers the frequent XML documents by association rule mining and then find the clustering of XML documents by classical k-means algorithm. The proposed approach was tested with real data of Wikipedia. The comparative study and result analysis are discussed in the paper for knowing the importance of the proposed work.

Searching large XML repositories is a challenging research problem. The application of clustering on a large repository before performing a search enhances the search process significantly. Clustering reduces a search space into smaller XML collections that can be better searched. In this work, we present an enhanced XML clustering by structure method. Also, we introduce a new representation of XML structure that keeps all characteristics of XML structure without summarization. Then, we perform a benchmark comparison between the search results of our improved method to SAXON and Qizx XML XQuery processors. The comparison focuses on search processing time and accuracy of the results using different sizes of datasets for both homogeneous and heterogeneous XML documents. The attained results show better accuracy at the same level of performance.

With the rapid development of internet and information technology, XML has become the important standard for information exchange and denotation 011 the internet, thus that how to manage the XML document in an efficient, systematic and scientific way has become a great challenge in the field of databaseXML regarded as data interchange’s foundation has a lot of advantages，but regard it as the datum store way it has many disadvantages such as no efficient data structure and indexing structure，poor query ability．This paper recommend a new technology for the storage and management of XML dam，including the work that design of data schema，design the interface and implement it with．NET．Direct against the problem that what past XML file is stored and inquired，this paper have introduced the data schema in RDBMS the XML file emphatically, and introduced functions，the inquiry and statistics based on this data schema

Wireless data broadcast is an efficient way of delivering data of common interest to a large population of mobile devices within a proximate area, such as smart cities, battle fields, etc. In this work, we focus ourselves on studying the data placement problem of periodic XML data broadcast in mobile and wireless environments. This is an important issue, particularly when XML becomes prevalent in today’s ubiquitous and mobile computing devices and applications. Taking advantage of the structured characteristics of XML data, effective broadcast programs can be generated based on the XML data on the server only. An XML data broadcast system is developed and a theoretical analysis on the XML data placement on a wireless channel is also presented, which forms the basis of the novel data placement algorithm in this work. The proposed algorithm is validated through a set of experiments. The results show that the proposed algorithm can effectively place XML data on air and significantly improve the overall access efficiency.

The idea of distributed application development is not new. Distributed technologies such as Distributed Component Object Model (DCOM), Remote Method Invocation (RMI), and Common Object Request Broker Architecture (CORBA) have existed for years. However, none of these technologies is an unambiguous industry standard. That is where standards based services step in. A service exposes some functionality as an API (Application Programming Interface) that the clients can consume. The data transfer between the client and the service usually happens in a format known to both the parties (such binary, SOAP, XML, and JSON).

In real-world Web applications, information is often vague or ambiguous. Fuzzy XML databases have been proposed to manage data exchanges among different imprecise and uncertain XML documents. However, data collected from different data sources referring to the same real-world object may conflict. It is the task of the data management system to resolve the conflicts and integrate the data without any interference from a user. In order to integrate data from multiple autonomous fuzzy XML databases, an integration of fuzzy XML data has to be performed. In this paper, we take a first step in a fundamental consolidation of the fuzzy XML data model. In particular, we investigate the integration technique, which is designed to integrate fuzzy XML data collected from different data sources. We develop a basic framework for detecting conflicts and overlaps in fuzzy XML documents. In addition, we propose an approach for reconciling the fuzzy XML data collected from different data sources.

With the development of computer and network technology, data mining based on database tables already cannot satisfy the need. The emergence of the Internet has huge amounts of information resources of the computer, and the implied knowledge but it has not been fully used, therefore the Web mining technology become the hotspot in research of high-tech. XML allows structured data from different sources together easily, thus making it possible to search diversification, incompatible database, Web data mining brings new opportunity. In this paper, through the study of the application of XML in Web data mining, this paper proposes a data mining system structure based on XML.

a b s t r a c t The emergence of XML adoption as semi-structured data representation in multi-disciplinary domains has highlighted the need to support the optimization of complex data retrieval processing. In a Big Data environment, the need to speed up data retrieval processes has further grown significantly. In this paper, we have adopted an optimization approach that takes into consideration the semantics of the dataset in order to deal with the complexity of multi-disciplinary domains in Big Data, in particular when the data is represented as XML documents. Our method particularly addresses a twig XML query (or a branched path query), as it is one of the most costly query tasks due to the complexity of the join operation between multiple paths. Our work focuses on optimizing the structural and the content part of XML queries by presenting a method for indexing and processing XML data based on the concept of objects that is formed from the semantic connectivity between XML data nodes. Our method performs object-based data partitioning, which aims at leveraging the notion of frequently-accessed data subsets and putting these subsets together into adjacent partitions. Then, it evaluates branched queries through two essential components: (i) Structural and Content indexing, which use an object-based connection to construct indices i.e. Schema Index, Data Index and Value Index; and (ii) query processing to produce the final results in optimal time. At the end of this paper, a set of experimental results for the proposed approach on a range of real and synthetic XML data, as well as a comparative study with other related work in the area, are presented to demonstrate the effectiveness of our proposed method in terms of CPU cost, matching and merging cost, scalability (size and number of branches) and total number of scanned elements. Our evaluation demonstrates the benefit of the proposed index in terms of performance speed as well as scalability which is critical in a large data repository.

XML data broadcast is an efficient way to disseminate semistructured information in wireless mobile environments. In this paper, we propose a novel two-tier index structure to facilitate the access of XML document in an on-demand broadcast system. It provides the clients with an overall image of all the XML documents available at the server side and hence enables the clients to locate complete result sets accordingly. A pruning strategy is developed to cut down the index size and a two-tier structure is proposed to further remove any redundant information. In addition, two index distribution strategies, namely naive distribution and partial distribution, have been designed to interleave the index information with the XML documents in the wireless channels. Theoretical analysis and simulation experiments are also put forward to show the benefits of our indexing methods.

Face the reality application in the "information island" problem, based on the analysis of the data exchange between heterogeneous database conflict, on the basis of this paper proposes a data exchange model in XML as middle format. Make full use of the XML is easy to extend, good interactivity and semantic is strong, can be formatted, easy processing, has nothing to do with the platform, and other features and advantages, and USES the c # language and XML and related technologies of the model carried on the detailed design and implementation of the main modules, and each function module in the model are relatively independent and extensible, strong commonality.

database research field has focused on the Extensible Mark-up Language (XML) because of its adaptable progressive nature which can use to represent to huge amount of data, likewise it doesn't have absolute and fixed schema, yet having possibly spasmodic and deficient structure. Quite hard undertaking to concentrate data from semi organized documents and is set to wind up more challenging as the measure of computerized data accessible on the Internet develops. Really, the data set returned as response to a query may be so enormous it is not possible pass on interpretable information, as documents are regularly so extensive. A methodology based on Tree- Based Association Rules (TARs), which furnish rough, intentionaldata about the structure and the contents of XML documents both, and additionally it might be saved in XML format. This mined information is utilized to give, a brief thought of both the structure and the content of the XML archive and snappy, inexact replies to queries at whatever point needed.

This paper argues for, and presents, a modest approach to XML encoding for use by the majority of contemporary linguists who need to engage in corpus construction. While extensive standards for corpus encoding exist - most notably, the Text Encoding Initiative’s Guidelines and the Corpus Encoding Standard based on them - these are rather heavyweight approaches, implicitly intended for major corpus-building projects, which are rather different from the increasingly common efforts in corpus construction undertaken by individual researchers in support of their personal research goals. Therefore, there is a clear benefit to be had from a set of recommendations (not a standard) that outlines general best practices in the use of XML in corpora without going into any of the more technical aspects of XML or the full weight of TEI encoding. This paper presents such a set of suggestions, dubbed Modest XML for Corpora, and posits that such a set of pointers to a limited level of XML knowledge could work as part of the normal, general training of corpus linguists. The Modest XML recommendations cover the following set of things, which, according to the foregoing argument, are sufficient knowledge about XML for most corpus linguists’ day-to-day needs: use of tags; adding attribute value pairs; recommended use of attributes; nesting of tags; encoding of special characters; XML well-formedness; a collection of de facto standard tags and attributes; going beyond the basic de facto standard tags; and text headers.

XML can supply the standard data type in information exchange format on a lot of data generated in running database or applied programs for a company by using the advantage that it can describe meaningful information directly. Accordingly since there are increasing needs for the efficient management and telemedicine security of the massive volume of XML data, it is necessary to develop a secure access control mechanism for XML. The existing access control has not taken information structures and semantics into full consideration due to the fundamental limitations of HTML. In addition, access control for XML documents allows read operations only, and there are problems of slowing down the system performance due to the complex authorization evaluation process. To resolve this problem, this paper designs and builds a XACS (XML Access Control System), which is capable of making fined-grained access control. This only provides data corresponding to its users' authority levels by authorizing them to access only the specific items of XML documents when they are searching XML documents in telemedicine. To accomplish this, XACS eliminates certain parts of the documents that are inaccessible and transmits the parts accessible depending on the users' authority levels. In addition, it can be expanded to existing web servers because XML documents are used based on the normal web sites. The telemedicine secure and the guidelines are provided to enable quick and precise understanding of the information, and thus the safety enhancement gets improved. Ultimately, this paper suggests an empirical telemedicine application to confirm the adequacy and validity using the proposed method.

The era of Web 2.0 has been coming, and more and more Web 2.0 application, such social networks and Wikipedia, have come up. As an industrial standard of the Web 2.0, the XML technique has also attracted more and more researchers. However, how to mine value information from massive XML documents is still in its infancy. In this paper, we study the basic problem of XML data mining-XML data mining model. We design a multi-level XML data mining model, propose a multi-level data mining method, and list some research issues in the implementation of XML data mining systems.

The rationale of XML design is to transfer and store data at different levels. A key feature of these levels in an XML document is to identify its components for additional processing. XML components can expose sensitive information after application of data mining techniques over a shared database. Therefore, privacy preservation of sensitive information must be ensured prior to signify the outcome especially in sensitive XML Association Rules. Privacy issues in XML domain are not exceptionally addressed to determine a solution by the academia in a reliable and precise manner. In this paper, we have proposed a model for identifying sensitive items nodes to declare sensitive XML association rules and then to hide them. Bayesian networks-based central tendency measures are applied in declaration of sensitive XML association rules. K2 algorithm is used to generate Bayesian networks to ensure reliability and accuracy in preserving privacy of XML Association Rules. The proposed model is tested and compared using several case studies and large UCI machine learning datasets. The experimental results show improved accuracy and reliability of proposed model without any side effects such as new rules and lost rules. The proposed model uses the same minimum support threshold to find XML Association Rules from the original and transformed data sources. The significance of the proposed model is to minimize an incredible disclosure risk involved in XML association rule mining from external parties in a competitive business environment.

For the widespread application of XML technology in network, the security of XML documents is particularly outstanding. XML encryption technology can ensure the confidentiality and integrity of an XML document effectively, and provide important technical for the safety of the XML document transmission. This paper will first introduce the XML encryption technology and encryption standard, and three models of XML document encryption, and then the paper will give three simple implementation of the XML encryption document in the. NET Framework platform. It preliminary ensures the safety of XML document and shows the flexibility and simplicity of XML encryption technology.

Extensible Markup Language XML has quickly become a mainstream language in software development. Not only is it used for message and document interchange, it is also used to define application logic and interfaces. However, modern general purpose integrated development environments have rather limited support for XML development. The wide variety of XML-based languages makes it a challenge to build tools for comprehensive support of XML development. In this paper, we present extensions to a library exposed as an add-in for Microsoft Visual Studio and a command line tool to improve the development experience by providing access to subscribable service-based pluggable helper tools. The architecture of the solution allows easier publishing and deployment of the tools, minimising the exposure of development data to third parties and providing service providers with much needed tool usage and development process data. The tools offer developers new means to check their files against good and bad practices, automatically fix errors in XML or improve the files' conformance with development guidelines, current state of project with other projects, or run service queries to estimate their projects future progress. Copyright © 2013 John Wiley & Sons, Ltd.

The era of Web 2.0 has been coming, and more and more Web 2.0 application, such social networks and Wikipedia, have come up. As an industrial standard of the Web 2.0, the XML technique has also attracted more and more researchers. However, how to mine value information from massive XML documents is still in its infancy. In this paper, we study the basic problem of XML data mining-XML data mining model. We design a multi-level XML data mining model, propose a multi-level data mining method, and list some research issues in the implementation of XML data mining systems.

The XML documents are nested and semi-structured, but the traditional access control mechanism is coarse-grained and not applicable. We proposed an XML access control model (XACM) for XML repository. The XACM provides a fine granular definition for XML authorizations, which is based on the self-description characteristic of XML. We also discuss how to use the XACM to automatically preserve the access control policy, when relational databases are published as XML documents. Finally, we present the implementation of the XACM in an actual XML publisher system. Comparing with existing related works, the XACM is more flexible, efficient and less overheads.

XML receives widely interests in data exchanging and information management on both traditional desktop computing platforms and rising mobile computing platforms. However, traditional XML retrieval does not work on mobile devices due to the mobile platforms limitations and diversities. Considering that XML retrieval on mobile devices will become increasingly popular, in this article, we have paid attention to the design and implementation of XML retrieval and results clustering model on the android platform, building on jaxen and dom4j, the XML parser and retrieval engine; furthermore, the K-means clustering algorithm. As an example of usage, we have tested the prototype on some data sets to the mobile scenario and illustrated the feasibility of the proposed approach. The model demonstrated in this article is available on the mobile XML Retrieval project website: http://code.google.com/p/mobilexmlretrieval/.

XML has already been the standard of data interchange on the Internet. Nowadays, a large amount of data is represented in XML format. However, most of the critical data in businesses are still stored in relational database management systems. It is difficult to query XML databases because of its textual format. This research intends to tackle this problem, and we proposed a system to manage XML documents that could be queried by the query language XQuery. XML documents are stored in relational format and the XQuery expressions are translated into appropriate SQL queries. The results of the SQL queries are transformed into XML documents. Comparing with LegoDB System, our system reduces processing time to search a relation configuration and proposes a better translating and executing technique which is more efficiently.

The transfer of streaming data is not well supported by current web services standards. To include multimedia streaming support in the web services domain, this paper presents a novel multimedia streaming web services framework for the transfer of streaming multimedia content. First, the framework includes an implementation of a query service for publishing a description of the multimedia content that is input to or output from a multimedia web service. This query service is specified in an extension of WSDL. Using MPEG-7 metadata, content descriptions can be queried before the invocation of a multimedia web service. Second, two new MEPs and their SOAP HTTP bindings are created for the exchange of streaming data between two SOAP endpoints. The implementations of these new MEPs use the MIME multipart/related structure and MTOM packaging when transferring the multimedia packets as SOAP messages. To reduce the transfer overhead introduced by the packaging method, this paper investigated extensively the application of various compression schemes for the SOAP messages as well as for the packaging of the binary packet data. Experiments show that the proposed framework can achieve a performance comparable to a simple HTTP multimedia streaming method.

Over the past decade, there has been increasing interest in using extensible markup language (XML) which has made it a de facto standard for representing and exchanging data over different systems and platforms (specifically the internet). Due to the popularity of XML and with increasing numbers of XML documents, the process of knowledge discovery from this type of data has found more attention. Although in the last decade several different methods have been proposed for mining XML documents, this research field still is in its infancy compared to traditional data mining. As in relational techniques, in the case of XML documents, association rule mining has a strong research interest. In this paper we have performed a comprehensive study on all of the major works so far done on mining association rules from XML documents. The main contribution of the paper is to provide a reference point for future researches by collecting different techniques and methods concerning the topic; classifying them into a number of categories and creating a complete bibliography of the major published works. We think that this paper can help researchers in XML association rules mining domains to quickly find the current work as the basis for the future activities.

Extensible Markup Language (XML) is a simple, flexible text format derived from SGML, which is originally designed to support large-scale electronic publishing. Nowadays XML plays a fundamental role in the exchange of a wide variety of data on the Web. As XML allows designers to create their own customized tags, enables the definition, transmission, validation, and interpretation of data between applications, devices and organizations, lots of works in soft computing employ XML to take control and responsibility for the information, such as fuzzy markup language, and accordingly there are lots of XML-based data or documents. However, most of mobile and interactive ubiquitous multimedia devices have restricted hardware such as CPU, memory, and display screen. So, it is essential to compress an XML document/element collection to a brief summary before it is delivered to the user according to his/her information need. Query-oriented XML text summarization aims to provide users a brief and readable substitution of the original retrieved documents/elements according to the user's query, which can relieve users' reading burden effectively. We propose a query-oriented XML summarization system QXMLSum, which extracts sentences and combines them as a summary based on three kinds of features: user's queries, the content of XML documents/elements, and the structure of XML documents/elements. Experiments on the IEEE-CS datasets used in Initiative for the Evaluation of XML Retrieval show that the query-oriented XML summary generated by QXMLSum is competitive.

Uncertain relational data management has been investigated for a few years, but few works on uncertain XML. The natural structures with high flexibility make XML more appropriate for representing uncertain information. Based on the semantic of possible world and probabilistic models with independent distribution and mutual exclusive distribution nodes, the problem of how to generate instance from a probabilistic XML and calculate its probability was studied, which is one of the key problems of uncertain XML management. Moreover, an algorithm for a generating XML document from a probabilistic XML and calculating its probability are also proposed, which has linear time complexity. Finally, experiment results are made to show up the correct and efficiency of the algorithm.

XML has become one of the general data exchange formats in the current Web application programs, with a wide range of applications in e-commerce, e-books, mobile communications and other fields. XML data storage technology is the key technology for XML applications, and an effective XML data storage, retrieval and management mechanism is a strong driving force for the development of XML. At present, XML data storage technology is generally divided into two categories, which are storage technologies based on a file system and based on a database. In this paper, the technical characteristics of the two XML document storage modes have been discussed, and their advantages and disadvantages have also been analyzed and compared.

Objectives: This paper presents an effective XML indexing technology for input/output process and retrieval of large amounts of data to exchange structured documents in the Internet space. Methods/Statistical Analysis: In these days, many data are produce in various forms by Web media, the Internet of Things, and social media. However, the data are too complicated in type and large to effectively analyze, search, and rapid input/output processing with the traditional Relational DB system. In this paper, we have looked to measure the document searching speed, document-writing speed in order to assess the performance of the XML Information Retrieval and management system using an index model. Many cases contain hundreds of millions of different elements of an XML document. In Keyword-based approach, it is necessary for all the elements in the document tagging to a quick search because it does not contain the structural information for the XML document to a query. Findings: The XML is a widely used mark-up language in Internet, and a large amount of data is produce in XML format. In this paper, we propose two search methods for efficient search in a large amount of data with the XML indexing technology. First, existing studies show the true performance to lean to one side in the keyword search of large XML documents have a problem. Both informal and formal data processing, the Content Model was proposes to solve. Non-structured data to a right processing and utilization as NoSQL View in a variety of devices for rapid processing of the user interface was couple to Data. N-Screen or the like can be used without Viewer from various mobile devices, as well as the task of processing that is used in a large variety of services can be advantageous. Improvements: This work can also extended with other searching algorithms for handling large amount of data

This paper proposes an XML format for standard Z. We describe several earlier XML proposals for Z, the problems and issues that arose, and the rationales behind our new proposal. The new proposal is based upon a comparison of various existing Z annotated syntaxes, to ensure that the mark-up will be widely usable. This XML format is expected to become a central feature of the CZT (Community Z Tools) initiative.

XML is extensively used in web services for integration and data exchange. Its popularity and wide adoption make it an attractive target for attackers and a number of XML-based attack types have been reported recently. This raises the need for cost-effective, automated testing of web services to detect XML-related vulnerabilities, which is the focus of this paper. We discuss a taxonomy of the types of XML injection attacks and use it to derive four different ways to mutate XML messages, turning them into attacks (tests) automatically. Further, we consider domain constraints and attack grammars, and use a constraint solver to generate XML messages that are both malicious and valid, thus making it more difficult for any protection mechanism to recognise them. As a result, such messages have a better chance to detect vulnerabilities. Our evaluation on an industrial case study has shown that a large proportion (78.86%) of the attacks generated using our approach could circumvent the first layer of security protection, an XML gateway (firewall), a result that is much better than what a state-of-the-art tool based on fuzz testing could achieve.

Web service is the technology tied up with SOAP, UDDI and WSDL of XML format, so web services searching based on XML keyword become essential. By systematic monitoring it has been observed that internet communication is less protected than intranet communication. The transaction exchange held through internet in web which is one among the distributed application is embodied to different vulnerability. In distributed environment, messages and data are exchanged as Extensible Markup Language (XML) format for its vast compatibility in transit. For facing the competitive environment, any business teams have to find their suitable web services among the bulk services prevails in market. In apt to this, survey has been made with different searching techniques and way to boost the security container filled with access permitted service alone. Our research work on XML based Web security is concentrated on providing the privacy, certification and integrity. We investigate the way to regulate and insist the security by applying XML Encryption and Signature for data or messages in transaction and in storage form. It also proves the performance improvement in searching data from vast resources, if so security constraint is provided. Search Engines Optimization (SEO) is enhanced with parsing the descriptive tags rather than chaos data. Traders need not have prior knowledge of web farms lifecycle and its protection.

Recent tremendous increase in the use of huge amount of XML data over the web leads to the development of new technologies. The special characteristic of XML is its flexible structure that makes XML as the widely used data format. Big data generally refers large amount of data of any type. As the size of the XML data is increased, XML big data takes the advantage of considering both XML and big data. Hence, innovative technologies are essential to handle XML big data. Therefore, it is necessary for the technologies to emphasize more on storage and management of XML big data. We elucidate the fundamental features of XML and big data. An important aspect of this survey is about the considerations of storage technologies for XML big data in real-time applications. This paper provides a review on latest technologies that can store, process and manage XML big data efficiently. In particular, the paper outlines the efficient storage technologies that can be applied to support XML big data. On the whole, based on the current technologies and literature review, our paper enumerates XML big data storage technologies that are available for real-world applications.

The development of information technology has resulted in its penetration into every area of clinical research. Various clinical systems have been developed, which produce increasing volumes of clinical data. However, saving, exchanging, querying, and exploiting these data are challenging issues. The development of Extensible Markup Language (XML) has allowed the generation of flexible information formats to facilitate the electronic sharing of structured data via networks, and it has been used widely for clinical data processing. In particular, XML is very useful in the fields of data standardization, data exchange, and data integration. Moreover, ontologies have been attracting increased attention in various clinical fields in recent years. An ontology is the basic level of a knowledge representation scheme, and various ontology repositories have been developed, such as Gene Ontology and BioPortal. The creation of these standardized repositories greatly facilitates clinical research in related fields. In this chapter, we discuss the basic concepts of XML and ontologies, as well as their clinical applications.

With the development of computer technology and the rapid prevalence of the Internet Power started to use computer to realize the unification and standardization. So IEC puts forward IEC 61970 specification series, which makes EMS normalize and interconnects different EMS.CIM has been defined by IEC61970 which commented by UML. Meanwhile, in order to further the support of information exchange on electricity, power industry has developed CIM / XML, which is method used XML to represent the CIM. This article briefly describes the CIM, XML and UML, the exploration of XML document in detail for expression framework is showed in the CIM class diagrams, and complete the parse of XML documents.

The paper aims at enhancing XML security by generating an XML digital signature capable of providing the major security features such as authentication, integrity, non-repudiation and confidentiality [14]. It also extends the concept of Information hiding which overcomes the hidden problem of traditional XML digital signature generation called “MID-WAY READING”. The security of the document is ensured by a process called ‘information hiding’. The document to be sent is digitally signed as well as encrypted and thereby ensuring excellent security level during the business transactions in an e-commerce environment and in addition to that, the private key used for signing the document is stored in a virtual smart card that provides enhanced security.