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Context based searches is always the area which admires by different researchers. Ontology hence, is the way to develop such a semantic web. However, alignment is the way to properly align Ontologies to actually develop the semantic environment. Thus interoperability between different classes can be maintained in order to optimize the context based searches. There exist different methods to map the given Ontologies to make their classes or attributes unique. However, every of them have some drawbacks. We will critically analyze different published methods according to their common attributes. 1. In troduction T here exist different algorithms that can align the Ontology. The term “mapping” is referred when doing an alignment. Each has its own advantages and drawbacks. In this paper, we will define those methods, present work of other authors and critically analyze each method as per their common attribute in order to make an effective way to align the Ontology. This will enable other authors to analyze from the proposed dimension and subsequently refine to make it more effective.

Ontology is the way to provide interoperability of different classes over semantic web. The better the ontology is constructed, the more are the chances for tight integration between different processes, no matter they are within the organization or are indirectly connected to organization, including external stakeholders i.e. Customers, Suppliers and Outsource services. For a properly design Ontology, it is always a mandatory step to apply different methods for Ontology Alignment. This propagates the reusability approach of a single object, thus at different instances, same property or attribute can be declared, rather going for heterogeneous environment. We have different traditional methods to align the ontology, however we are going to propose new method, adopted from the other domain, to better align the ontology. We will advance the concept by introducing algorithm which can help implementing the solution.

Big data, which is maturing over time, has a high impact in analyzing scenarios and coming up with decision making strategies pertaining to any sector. Consequently the number of applications are also increasing where in the past, they were limited to the confines of company sales departments. In lieu, this paper is primarily focused on applying Data Sciences within the education sector. We will be discussing the overall application to address higher-education issues. We will also present a framework for capturing, analyzing it and concluding on data in order to benefit decision-makers, thus ultimately manifesting in informing design and finalizing policy.

Business policy reflects way too many things not only restricting what the company should do but also predicting the future direction of the company. It is desirable that the description of business policy can be interchangeable between business descriptions and engineering specifications so that the rules can be integrated into engineering process without further misinterpreting and conflicting. This paper presents our initiatives of a work to investigate and identify suitable ontologies, as well as suitable ontology alignment framework. A set or sets of formal vocabulary will be developed across various ontologies to specify business policy in a way that different levels of business managers, business people and technical people especially engineers can exchange and share business rules without misinterpreting and inconsistency.

This paper presents the first stage of our proposed research work, i.e., integrating a business reporting language into pervasive computing processes and products. In general, our first stage is to identify and review one of the key business reporting languages, namely, Extensible Business Reporting Language (XBRL) and discuss an integrating XBRL into pervasive computing fields. XBRL is an emerging standard based on XML technology, particularly to streamline a diversification of financial information throughout the world for globalised stakeholders. This paper gives an overview and discusses potential of using XBRL for pervasive computing, as well as strengthening XBRL using smart computing technologies, bridging gaps between financial requirements and pervasive computing productions. Furthermore, current development of relevant intelligent computing technologies especially semantic web is investigated, identified and developed to assist XBRL for a more automated manner and to enhance usability of XBRL for both business users and pervasive computing researchers.

A product goes through various processes in a production flow which is also known as assembly line in manufacturing process management. Toyota created a new concept which is known as lean concept in manufacturing industry. Today it is the leading model in manufacturing plants through the globe. The linear walking worker assembly line is a flexible assembly system where each worker travels down the line carrying out each assembly task at each station; and each worker accomplishes the assembly of a unit from start to finish. This paper attempts to combine the flexibility of the walking worker and lean in order to quantify the benefits from applying the shop floor principles of lean management., {"references":["Lean Manufacturing. http://en.wikipedia.org/wiki/Lean_manufacturing\nApril, 2011, (April 28, 2011)","D. Williams. Implementation of Shop Floor Principles at Mercedez-\nBenz.Internet:\nhttp://lean.org.za/presentations/Damain_Williams_Implementation_of_S\nhop_Floor_Management_at_Mercedes_Benz.pdf.2008 (April 28, 2011)","L. Wilson. How to Implement Lean Manufacturing. M. Mc Gee, Ed.\nNew York: McGraw Hil, 2009, pp. 67-69","Mazak. Case Study. Internet http://www.mazakusa.com/pdfs/MZK-\n1164.pdf (April 28, 2011)","D. Williams. Implementation of Shop Floor Principles at Mercedez-\nBenz.Internet:\nhttp://lean.org.za/presentations/Damain_Williams_Implementation_of_S\nhop_Floor_Management_at_Mercedes_Benz.pdf .2008 (April 28, 2011)","D. Williams. Implementation of Shop Floor Principles at Mercedez-\nBenz.Internet:\nhttp://lean.org.za/presentations/Damain_Williams_Implementation_of_S\nhop_Floor_Management_at_Mercedes_Benz.pdf .2008 (April 28, 2011)","Qian Wang, Sylvain Lassalle, Antony R. Mileham, and Geraint W.\nOwen. Analysis of Production Loss on a Linear Walking Worker Line.\nInternet: http://www.waset.org/journals/waset/v65/v65-140.pdf (April \n28, 2011)","Encyclopedia of Business, 2nd Edition. Reference For Business. Internet:\nhttp://www.referenceforbusiness.com/management/Int-Loc/Layout.html\n(April 25, 2011)","R. Sirovetnukul and P. Chutima. \"The impact of walking time on ushaped\nassembly lineWorker allocationProblems.\" Internet\nhttp://www.cp.eng.chula.ac.th/~piak/project/coin/EngineeringJournal_EJ\n2010April.pdf April 2010. (April 28, 2011)"]}