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The Solid protocol aims to let people take back control over their personal data by allowing them to store this data in personal data vaults called pods. While this has advantages in terms of data ownership, it also imposes new challenges when developing applications that use the protocol for data storage. Some auxiliary software libraries already exist in most popular programming languages for handling functions like authentication or basic file management, however, to the best of our knowledge, there is currently no toolkit available that provides a more integrated developer environment with features like data validation, code completion, and package management. In this paper a Solid Development Experience or SDX is presented, which uses SHACL shapes and GraphQL as the basis to provide a type-safe programming environment for both Javascript and Java projects. SHACL shapes can be downloaded and installed, after which GraphQL schemas can be generated based on them. Next, queries can be defined on these schemas to retrieve RDF data stored in a pod. The use of SHACL and GraphQL allows a mapping of dynamically typed RDF models to statically typed Java/Typescript constructs, with the goal of leveraging full type-safety when interfacing with RDF data. This mapping was found to incur a limited overhead during performance testing, the results of which are presented in this paper. Additionally, a detailed overview of the main components that make up the SDX and the design and technology choices that were made for each of them is provided. [ABSTRACT FROM AUTHOR]

In multicenter clinical research, case-reported clinical data are managed for each research project. Participating institutions manage the mapping between standardized codes and in-house codes. To use the data extracted from electronic medical records in case report forms, it is necessary to pay attention to the gap in the semantic hierarchy. Managing mapping information between in-house and standardized codes is centralized in Resource Description Framework (RDF) stores. The relationship between standardized and in-house codes is described in RDF and stored in RDF stores. RESTful APIs for accessing RDF stores in SPARQL was developed and verified. The relationship between standardized codes and in-house codes of pharmaceuticals was expressed in RDF triples. As a +result of the operational verification of the implemented APIs, it was confirmed that data management with knowledge bases expressed in RDF graphs is possible. The ability to dynamically modify mapping definitions enables flexible data management and ease of operational restrictions. [ABSTRACT FROM AUTHOR]

This work presents an RDF graphstore implementation for all six modules of the GeoSPARQL standard using the Apache Jena Semantic Web library. Previous implementations have provided only partial coverage of the GeoSPARQL standard. There is discussion of the design and development of on-demand indexes to improve query performance without incurring lengthy data preparation delays. A supporting benchmarking framework is also discussed for the evaluation of any SPARQL compliant queries with interfaces provided for integrating additional test systems. This benchmarking framework is utilised to examine the performance of the implementation against two existing GeoSPARQL systems using the Geographica benchmark. It is found that the implementation achieves comparable or faster query responses than the alternative systems while also providing much faster dataset loading and initialisation durations. [ABSTRACT FROM AUTHOR]

Marine litter is a major environmental problem, with widespread responsibility and effects on The Circular Economy indicates an economy able to minimize waste and pollutants production and, in the meanwhile, to shut down energy and raw material availment through a cyclical flow of matter similar to that which occurs in nature. This work concerns the management of special non-hazardous waste and the innovative techniques adopted for energy recovery from these: the goal of the study is to investigate the possibility of producing a solid fuel (RDF - Refuse Derived Fuel) from special waste management residues. We analyzed the case study CON.TE.A., a consortium located in Misterbianco (Catania) - Italy, that works on the selection of packaging collected in differentiated form, transformation of the pruning of the green residues into compost and of the inert waste into construction material. In particular, the RDF is produced, within the consortium, through the mechanical-biological treatment which is a process divided into mechanical pre-treatments, biological treatments and mechanical posttreatments. [ABSTRACT FROM AUTHOR]

The challenge of an ecological and economical treatment of household waste depends not only on the make-up of the waste but also on many other factors. Local, county, State and Federal regulations, current waste management practices, cost of ownership, reuse, recycling or disposal of outputs, knowledge of "what is available out there?", "we have garbage as well", partial, non complete solutions, use of best available technologies are among these. Solutions to such a challenge varyjust about as much as the factors of the challenge itself!. One solution is through the implementation of the mechanical-biological treatment (MBT) process to treat household waste. This MBT process has not always been regarded as viable. A MBT process is now available as a tried and proven very adaptable and very flexible solution. MYT® or Maximum Yield Technology is such a complete method and can be designed and built to the needs, waste content and quantity, regulations, output needs etc. [ABSTRACT FROM AUTHOR]

It is well known that Social Web is „growing” bigger and bigger and more diverse. An important issue relative to the huge amount of information user generated content is that knowledge coming from different communities of users in social media cannot be linked or shared because user generated content, in general, doesn't have machine interpretable metadata that can be "understood" by computers. The connection can be done assigning meaning to web content with the help of the Semantic Web standards. The paper presents a study about role and uses of Semantic Web technologies within the framework of social media. A case study about the effective use of these technologies in a web application that lists the posts introduced by users, which can be found in different social sites is provided. The application was meant for usage within the Romanian research team. [ABSTRACT FROM AUTHOR]

Copyright of CISTI (Iberian Conference on Information Systems & Technologies / Conferência Ibérica de Sistemas e Tecnologias de Informação) Proceedings is the property of Conferencia Iberica de Sistemas Tecnologia de Informacao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Congreso Internacional de Investigacion Academia Journals is the property of PDHTech, LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Portland Cement is one of the fastest growing industrial sectors in Egypt which has undergone a great shift in structure and operation. Though it represents one of the largest energy consuming industries, yet proper energy management has not been adequately addressed leading to enormous environmental problems. With the recent revolution in waste management, the trend is now to use RDF produced from unsorted, untreated solid waste as a substitute for the fuel used in cement kilns. The process is commercially viable and introduces immediate economic benefits for the cement industry, the community and government. On the other hand, such an approach is associated with increase in GHG and many challenges in the collection and handling of RDF and in equipment maintenance. Risk analysis of fuel substitution based on previous experience with similar worldwide installations are summarized, recorded opportunities concerning this process were reviewed and critical aspects on adaptability to local conditions are selected. [ABSTRACT FROM AUTHOR]

Speech Recognition (SR) technologies have matured rapidly since the 1990s in both commercial and consumer applications. Telecommunications was an early adopter of this technology from recognition of speech patterns to decision making processes for services involving traditional operator and assistant services. Despite early adoption, SR technologies are excluded from Emergency Services, most notably the national 9-1-1 dialing pattern. This paper explores the obstacles to incorporating SR into Emergency Services. Semi-structured interviews with industry experts were conducted to explore the potential of SR in emergency services. The themes exhibit concern for liabilities, inadequate processes and poor technical understanding that impede consideration for this technology. The appetite for adopting agile solutions is evolving. The consumer may be more risk accepting where the service and solution provider remains risk adverse. The obstacles presented may inhibit society from the benefits of SR as an Artificial Intelligence (AI) solution for Emergency Services 9-1-1. [ABSTRACT FROM AUTHOR]

The majority of data on the web is of semi-structured or unstructured form but due to syntactic and semantic differences, attempts to combine semi-structured data that stems from diverse Internet sources are often unsuccessful. The use of ontologies can significantly improve semantic richness of texts presented on the Web but taxonomy building is tedious task requiring extra human resource. This paper explores methods of automatizing the process of creating an ontology-based approach as a solution for scholarships retrieval, using heterogeneous data sources and resolving scheme-level semantic conflicts among data. To achieve this, a framework called CSSO (Computer Science Scholarship Ontology) is created to perform semantic annotation by employing ontology to build knowledge, generate rules and obtain information using reasoning with help of SWRL rules. In the CSSO framework a semantic framework suggests a general methodology of transforming existing resources into "semantically enhanced" ones to obtain generic information. [ABSTRACT FROM AUTHOR]

Copyright of CISTI (Iberian Conference on Information Systems & Technologies / Conferência Ibérica de Sistemas e Tecnologias de Informação) Proceedings is the property of Conferencia Iberica de Sistemas Tecnologia de Informacao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Congreso Internacional de Investigacion Academia Journals is the property of PDHTech, LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Open data published by the Romanian Government in the data.gov.ro portal can be used to create e-learning applications. In the RoLOD platform, which contains semantic data, a part of the published data has been converted into a machine-readable format, named RDF (Resource Description Framework). This format was chosen in order to standardize the information and also to augment it with various other existing online information, such as geographic coordinates. In Romania, according to published data, there are 1014 museums, scattered throughout the entire country. In this article, we present an application which suggests the visiting route for a number of museums, using data provided by the Romanian National Heritage Institute, which have already been published in RDF format. This suggestion is based on user preferences, which can select the time length of the route (which may vary from one hour to several days) and the preferred museum type. Sightseeing route is calculated taking into account the starting point, the selected duration. The means of transport is considered personal car. The optimal route, which in our view is maximizing the number of museums and is decreasing the overall duration of transit, is calculated using a series of graph algorithms. [ABSTRACT FROM AUTHOR]

Copyright of Congreso Internacional de Investigacion Academia Journals is the property of PDHTech, LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The creation of Learning Spaces on the Web, like the exhibition rooms of virtual museums, supported by an ontology that enables a conceptual navigation over the learning objects exposed, is an hard and complex task but of uttermost importance for the success of the knowledge acquisition process. In our opinion, the creation must be systematic and reusable from case to case, based on the query of the ontology instances that describe the museum assets. We will discuss how the ontology definition drives the way SPARQL (SPARQL Protocol and RDF Query Language) queries extract information from the TripleStore to be prepared for visualization. However, to enable this approach, we need to populate the ontology in an automatic way, extracting the data from the annotated documents in the institution repository. We intend to show how that process can be implemented using the Museum of the Person (MP) as a case-study, describing the XML2RDF tool developed. To illustrate the complete approach proposed we will include a guided visit to the exhibition rooms of MP created according to that proposal and by our tools. [ABSTRACT FROM AUTHOR]

The RDF(S) model has been declared as the basic model to capture knowledge of the semantic web. It provides a common and flexible way to decompose composed knowledge to elementary statements, which can be represented by RDF triples or by RDF graph vectors. From the logical point of view, elements of knowledge can be expressed using at most binary predicates, which can be converted to RDF-triples or graph vectors. However, it is not able to capture implicit knowledge representable by logical formulas. This contribution shows how existing approaches (semantic networks and clausal form logic) can be combined together with RDF to obtain RDF-compatible system with ability to represent implicit knowledge and inference over knowledge base. [ABSTRACT FROM AUTHOR]

We propose mapping relational databases (RDB) to Resource Description Framework (RDF) which considers the higher semantic abstraction of the real world. Whereas the previous works focused on the direct mapping, our approach maintains semantic of the schema and data, particularly for the high-order relationships. Our approach adopts the graph model where edges may have properties. Therefore, in our RDF model, predicates may have attributes as well. Finally, the model can be retrieved naturally by SPARQL. [ABSTRACT FROM AUTHOR]

Nowadays we are witnessing an exponential increase in open data which are published in order to be reused by third parties. The major problem about these data is that they have very different formats and structures as they are issued in totally different institutions. Modern eLearning methods can be improved using these open data, but their different structures inhibit the development of such eLearning applications. This paper describes LODRo, a platform containing standardized public data on existing museums and research reports about Romanian archaeological sites. These data are published by the Romanian National Heritage Institute on Romanian Open Data portal, in csv format. Standardizing their format involves transforming existing open data in RDF triples and attaching additional properties using online web services, such as geographical coordinates. Furthermore, the existing information is linked with other online resources available from Linked Open Data Cloud. As results, we obtained after the transformation of these open data about Romanian national heritage, 1014 resources having 5836 RDF triples, each resource representing a Romanian museum and 4290 resources having 39458 RDF triples, each resource representing a research report about Romanian archaeological sites. Also, using databases like DBpedia.org and GeoNames.org, we found links to all towns and counties that host a Romanian cultural heritage and to a number of 23 museums from these 1014 Romanian museums. In LODRo, all these RDF triples can be queried using an existing SPARQL endpoint. Using these enhanced data published by LODRo platform, developers can build mobile learning applications to help museum visitors and archaeological researchers to discover additional data about existing sites. [ABSTRACT FROM AUTHOR]

The extant literature adequately documents Linked Data initiatives primarily undertaken and implemented in information environments and cultural institutions in Europe and North America. Information professionals play crucial roles in implementing those initiatives that can potentially improve access to knowledge and information. In order to gauge the level of Linked Data application in libraries and have a broader and global understanding, it is important that researchers also explore this topic in the context of libraries in developing countries. Accordingly, our aim in the current study was to assess the willingness and level of interest in the application of Linked Data by librarians in Pakistan as well as determine their perceptions of the barriers to Linked Data application in their respective libraries. A survey of information professionals in Pakistan showed a broad interest in implementing Linked Data technologies, while acknowledging that potential barriers exist. Where there is a skills gap, participants were willing to attend events to learn more about the technologies and their applications in libraries. These and other dynamics could have implications for the prospects of Linked Data applications in Pakistani libraries. [ABSTRACT FROM AUTHOR]

RDF model and Sowovy conceptual graphs are two different directions, although are based on the associative (semantic) networks. This article is a build on the author's work concerning the modified RDF graph-based model, which has a higher expressiveness. This article aims to start work on both formal systems and find common features for conversion. The reason this work is RDF, which is a data format designed to enable semantic interoperability between computers, and the largest part of its specification provides the means for this in defining the core vocabulary, an XML serialization, inferencing, etc. [ABSTRACT FROM AUTHOR]

Copyright of CISTI (Iberian Conference on Information Systems & Technologies / Conferência Ibérica de Sistemas e Tecnologias de Informação) Proceedings is the property of Conferencia Iberica de Sistemas Tecnologia de Informacao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, we describe an OWL ontology for HDF5 and discuss a few potential applications. [ABSTRACT FROM AUTHOR]

Efficient store and query of RDF graph database is of increasing importance due to the popularity and widespread acceptance of RDF on various applications including semantic/situation aware computing. In this paper, we have applied an query optimization based on graph contraction that boosts the query processing on relationally-backed RDF store. The query optimization technique based on graph contraction creates summarized graph in advance and uses it to efficiently query the original dataset. We used decomposition storage model on top of RDBMS to represent RDF graph, and applied the optimization technique based on graph contraction. Preliminary experiments using MySQL and synthetic dataset showed that the method can improve the query performance by 6.62 times. This means that the contraction based optimization on RDBMS is promising technique for retrieving data in semantic/situation aware computing. [ABSTRACT FROM PUBLISHER]

Current paper discusses the methodologies involved in integrating Resource Description Framework (RDF) into a Hyper Graph - Graph (HG(2)) data structure in order to preserve the semantics of the information contained in RDF document for dealing future cross platform information portability issues. The entire semantic web is mostly dominated by few information frameworks like RDF, Topic Map, OWL etc. Hence semantic web currently faces the problem of non existence of common information meta-model which can integrate them all for expanded semantic search. On the background of development of Hyper Graph - Graph (HG(2)) data structure, an RDF document if integrated to it, maintains the original semantics and exposes some critical semantic and object mapping lift as well which could further be exploited for semantic search and information transitional problems. The focus of the paper is to present the mapping constructs between RDF elements and Hyper Graph - Graph (HG(2)) elements. [ABSTRACT FROM PUBLISHER]

Information is produced and maintained in a building project in a concurrent and loosely coupled manner by a set of parties representing different disciplines. The multiple partial models produced in a project are interrelated since they represent different aspects of a same building. The standard conceptual schema of buildings - Industry Foundation Classes (IFC) - enables conceptual, type-level compatibility between models but solves interoperability problems only partially. We argue for the need for instance-level interoperability. The capability to link the individuals of different models together would support functionalities such as cross-model information access and aggregation, status monitoring, and change management. The nature of cross-model linking is investigated using a small case study and a set of principles for the implementation of linking are identified. The natural way to implement the principles using Linked Data technologies is outlined. In a qualitative evaluation against previous approaches, the linking approach turns out to be more flexible and expressive but more demanding of support from design tools and information management infrastructure. [ABSTRACT FROM PUBLISHER]

Extremely large datasets found in Big Data projects are difficult to work with using conventional databases, statistical software, and visualization tools. Massively parallel software, such as Hadoop, running on tens, hundreds, or even thousands of servers is more suitable for Big Data challenges. Additionally, in order to achieve the highest performance when querying large datasets, it is necessary to work these datasets at rest without preprocessing or moving them into a repository. Therefore, this work will analyze tools and techniques to overcome working with large datasets at rest. Parsing and querying will be done on the raw dataset - the untouched Web Data Commons RDF files. Web Data Commons comprises five billion pages of web pages crawled from the Internet. This work will analyze available tools and appropriate methods to assist the Big Data developer in working with these extremely large, semantic RDF datasets. Hadoop, open source parsers, and Amazon Cloud services will be used to data mine these files. In order to assist in further discovery, recommendations for future research will be included. [ABSTRACT FROM PUBLISHER]

Recently, a large number of dataset repositories, catalogs and portals are emerging in the science and government realms. Once a large number of datasets are published on such data portals, the question arises how to retrieve datasets satisfying an information need. In this paper, we present an approach for retrieving datasets according to user queries. We define dataset retrieval as a specialization of information retrieval. Instead of retrieving documents that are relevant to a certain information need, dataset retrieval describes the process of returning relevant RDF datasets. As with information retrieval, the term relevance cannot be clearly defined when using traditional methods like stemming. The inherent usage of RDF in these datasets enables a better way of retrieving relevant ones. We therefore propose an additional retrieval mechanism, which is inspired by facet search: dataset filtering. When querying, the entire set of available datasets is processed by a set of semantic filters each of which can unambiguously decide whether or not a given dataset is relevant to the query. The resulting set is then given back to the requester. We implemented and evaluated our approach in CKAN, which fuels publicdata.eu and is the most popular data portal worldwide. [ABSTRACT FROM PUBLISHER]

A key indicator for sustainable application development is reusability of components. Current research on application development aims to combine Services from the Web based on a description given by the developer. So, in many cases there should be no need to develop new applications from scratch. There is at least some sub-functionality provided somewhere which avoids the reinvention of the wheel. Such services may offer capabilities in terms of data-processing but also in terms of data-provisioning. In 2013 the number of smartphones in the world hit 1 bn units and is expected to hit 1.7 bn units in 2017. They are equipped with various sensors, e.g. GPS, acceleration, brightness, noise, etc. This leads to an inconceivable amount of information that in most cases is yet only locally available. The focus of this paper is on global provisioning of such data. Whereas the pervasiveness of smartphones grows massively, the Semantic Web initiatives aim to describe the knowledge of the world in a structured way. This enables machines to semantically understand the meaning of message payload and thus communicate and learn without any need for human intervention. This paper depicts and evaluates a framework to integrate the information from virtually arbitrary data sources with the Internet. This approach was developed within the SPITFIRE. project. Besides the network integration, it allows to abstract from low-level sensor values to virtual representations of physical things using proper aggregation on the semantic level. [ABSTRACT FROM PUBLISHER]

The Semantic web is the extension of WWW, “web of document” that provide a support for “web of data” it gives an easier way to find, share, reuse and combine information. The semantic web can be best known as the web of linked data that enables people to create data stores on the web, build vocabularies, and write rules for handling data. It is based on machine-readable information and builds on XML technology's capability to define customized tagging schemes and RDF's (Resource Description Framework) flexible approach to representing data. The key challenge for many semantic web application is to access RDF and OWL data source, as a solution to this challenge, SPARQL, the w3c Recommendation for an RDF query language, supports querying of multiple RDF graphs and OWL data. In this paper we propose a framework for querying RDF data and OWL data using SPARQL. We perform querying the data using “TWINKLE” and “PROTEGE” tool and we also provide an experimental result of improving query performance by optimizing the query. [ABSTRACT FROM PUBLISHER]

The amount of information on health subjects on the Web and users' interest in having efficient access to it continues to increase. This information can also be very useful for professionals, researchers and students in this field. But the usual word-based search does not allow full exploration of the information, pointing to the need for more semantic approaches. Aiming to contribute to providing a semantic search for information on Health, available using written Portuguese, the article presents enhanced search platform architecture based on the enterprise search platform (FAST), providing a processing pipeline capable of exploring annotation of entities and relations defined in a domain. A modular architecture was defined in which an ontology-based knowledge base has an essential role. As it is essential to make the user task as simple as possible, the platform also includes ontology navigation in the classes and relations of the entity to guide queries; use of the most frequent domain classes in the documents relating to a search to provide additional ways of navigation; and inclusion in the score of the ontology-guided annotations. As a first proof of concept, the architecture was instantiated in a specific domain, neurological diseases, for which an ontology was created. [ABSTRACT FROM AUTHOR]

Given the astounding amount of data stored in spreadsheets and relational databases, a critical requirement for the evolution of the Semantic Web (SW) is the ability to convert data to SW compatible formats, such as RDF and OWL. The process by which data is transformed into RDF is known as triplification. This paper introduces Xcel2RDF, an MS Excel plug-in to support the triplification of spreadsheets, which minimizes the learning curve, as it is integrated into a widely used spreadsheet software tool. The plug-in is user-friendly, does not depend on the installation of additional software and does not require the user to leave his familiar environment, thereby avoiding problems reported as the major drawbacks of existing spreadsheet to RDF conversion tools. Finally, as a proof of concept, the paper illustrates how to use the tool to triplify statistical data. [ABSTRACT FROM PUBLISHER]

The purpose of the Semantic web is to make such information which is solely understandable by human's machine process-able. In this paper, we present a semantic web application that holds hotel related information in its knowledge base and a natural language querying platform that takes in user queries and fetches the relevant results from the knowledge base. Ontology, which is the heart of semantic web, with concept instantiations serves as a domain knowledge base and SPARQL Protocol and RDF Querying Language is used as the channel that accomplishes the retrieval of that information A simple user experiment shows that the system is time effective and helpful in making decisions with minimum queries as compared to browsing even with selected sites. We also present a comparative study of our system with regular search engines, and the differences in their operation. [ABSTRACT FROM PUBLISHER]

Energy Efficiency is one of the goals of the Smart Building initiatives. This paper presents an Open Energy Management System which consists of an ontology-based multi-technology platform and a wireless transducer network using 6LoWPAN communication technology. The system allows the integration of several building automation protocols and eases the development of different kind of services to make use of them. The system has been implemented and tested in the Energy Efficiency Research Facility at CeDInt-UPM. [ABSTRACT FROM PUBLISHER]

Tupelo is a data and metadata management system based on semantic web technologies. Data are in the form of blobs, while metadata are represented as RDF triples. But some data are translated from other blobs. For example, arbitrary data described by DFDL can be translated into XML or further into RDF. This paper presents a plugin of Tupelo for managing data translation (e.g. how to control translation operations, how to use different translators, and when to invoke translations) and corresponding semantic metadata, powered by Data Format Description Language (DFDL) and its implementation of defuddle. [ABSTRACT FROM PUBLISHER]

The Semantic Web has been recognized as the next generation web which aims at the automation, integration and reuse of data across different web applications. To realize the Semantic Web, the W3C has adopted standards and tools such as the Resource Description Framework (RDF) and Web Ontology Language (OWL). With the development of the Semantic Web, OWL ontology became a W3C recommended mechanism and state-of-the-art technology toward the ideal Semantic Web. Most semantic web applications developed for such an environment require the management of large amounts of semantic data which are stored in semantic models. This requirement has motivated the design of specialized repositories in order to store and manipulate semantic models. However, semantic repositories still have problems related to hierarchical relations in that OWL data cannot be directly represented by a relation table i.e. ‘a single table’. In this paper, we propose a new relational database layout to store an OWL knowledge base by considering the hierarchical relations. [ABSTRACT FROM PUBLISHER]

Cloud Computing is a model that habilitates the access to a group of computer services that are offered according to the needs of the users. Also, layers have been developed in order to sectorize and manage the offered services while maintaining the interrelation between the layers by using ontologies. Referring to the above-mentioned, we suggest creating a new layer in cloud computing that enables you to manage user log-ins to applications that are housed in the cloud. User management is developed through ontologies using the axioms that identify the privileges that users have, the axioms are represented in Ontology Web Language (OWL) and Resource Description Framework (RDF). [ABSTRACT FROM PUBLISHER]

Put forward the implementation method of the semantic data be stored into the relational database. Based upon the analysis of the logic model of the semantic graph, built a storage system which consists of schema table and instance table, to enhance the integrality and agility of the storage, Describe the semantics by directed-hyper graph to simplify the semantic graph and strengthening the semantic relations, List a vertical-storage algorithm which is based on the breadth-first traversal. [ABSTRACT FROM PUBLISHER]

This paper presents a circuit technique for designing a variability aware SRAM cell operable at near threshold region. The architecture of the proposed cell is similar to the standard 6T SRAM cell with the exception that DTMOS is used for the access FETs and DSBB (dynamically swapped body bias) scheme is used for feedback and feed-forward inverters of the cell. In this work, various design metrics of the proposed design are assessed and compared with conventional 6T at iso-device area. [ABSTRACT FROM PUBLISHER]

The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation. It is also referred to as Web 3.0 and is an upcoming technology. The Semantic Web is a web of data. The Semantic Web is about two things: it is about common formats for integration and combination of data drawn from diverse sources and about how the data relates to real world objects. Semantic Web can be considered a part of artificial intelligence as it puts into use Model theory, Web effect. Oracle, IBM, Adobe, Software AG, Mozilla and Yahoo! are some of the large corporations that have picked up this technology. This paper presents a comparison of Semantic Web and Web2.0 as well also discusses on the features and capabilities of Semantic Web. [ABSTRACT FROM PUBLISHER]

Nowadays, social networks become popular with the emerging of web-based social networking services. Recently, several mobile services are developed to connect users to their favourite social networks such as Face book, Twitter, Flickr, etc. However, these services depends upon the existing web based social networks. In this paper, we present a mobile service called Mobil ink for joining groups across communities. The originality of the work is that the framework of the service allows creating and joining social networks that are self contained for mobile company servers. The service consists of several sub-services such as users invitation, group finding and others. Users can use Mobil ink and its sub-services without the need to create their own accounts on social web sites and thus their own groups. [ABSTRACT FROM PUBLISHER]

RDF Schema is a basic and yet very important language for specifying ontologies in the context of Semantic Web. Ontologies can be used to obtain more information from that explicitly stated. Traditionally, the process of revealing implicit knowledge, known as inference or reasoning, is realised by a reasoner -- a component which either processes data to infer all conclusions in advance or, given a query, infers all implicit answers during a query evaluation process. In this paper, we present an alternative approach based on structuring data in a database according to underlying ontologies. This knowledge structure is employed for directing query evaluation to data relevant for the given query. Thus, this method reduces reasoning to retrieving. We show that the proposed schema preserves the semantics of RDF and RDFS in standard use cases. [ABSTRACT FROM PUBLISHER]

The software project of a large-scale information system usually contains a large number and different types of project documents. The key factor for the success of software project is how to efficiently manage project documents. Traditional software project management only focuses on XML-based metadata rather than semantic interlinking to facilitate document retrieval and publication. The main problem XML-based metadata is that lays stress on syntax and format for information interoperability rather than semantic and knowledge for intelligent applications. The Linked Data uses RDF data model that provide a solution to this problem. This study addresses these issues developing a Project Document Ontology (PDO) which is based on RDF Schema and combined with a set of well-known vocabularies, including FOAF, DC, and DOAP, to annotate project documents in Linked Data format. To illustrate the PDO applications, this study demonstrate project documents can be annotated from heterogeneous and distributed project resources, including design document, analysis document, plan document and work log. [ABSTRACT FROM PUBLISHER]

In the present paper, a new extension to Generalized Nets is proposed. Tokens are represented as linked data and business process activities are represented as GN transitions. We will demonstrate how a GN model can be used for describing a synchronized process with a rich data model and explain the respective advantages. [ABSTRACT FROM PUBLISHER]

Spatial Data Infrastructures have recently become a crucial part of national infrastructures. Example users are governments using them to make informed policy decisions and the private sector using them in order to understand their customers better. It is estimated that Australian spatial industry revenue is in excess of $1.35 billion annually. The Cooperative Research Centre for Spatial Information in Australia is currently working with the Commonwealth, jurisdictions and the private sector to understand the research required in this area to support both the public and private sectors in their decision and policy making based upon these infrastructures. This paper presents an early perspective as to possible research areas in this field. An underlying theme that reoccurs in the research is the need to consider usability of such systems and the need to move beyond just data to orchestration of processes to obtain derived products. [ABSTRACT FROM PUBLISHER]