Ontology-based methodology in accordance with the convergence of technology Web 2 and Web 3

سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 507

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شناسه ملی سند علمی:

CRSTCONF01_021

تاریخ نمایه سازی: 27 اسفند 1394

چکیده مقاله:

This paper studies the history of the Web, the technologies involved in each period and evaluate technological gap between Web 2 and Web 3 in the Web's Future Studies. Today Semantic Webdevelopment faces with many challenges, including the increasing volume of data, rising demand and the need to provide the mostrelevant answers, the heterogeneous growth rate of different technologies in each period and huge technological gap between thedifferent versions of the web. It is Supposed that presenting a methodology based on ontology technologies Web 2 and Web 3 that covers at the same time, can play an effective role in improving search results and technological convergence. The study has beendescriptive and historical method. It is the result of Ontology-based research methodology which follows structural change of attitude onthe web with semantic based intelligent algorithm. the proposedmethodology due to the intelligent nature of ontology in semantic inference, expandability, flexibility based on kind of application and simultaneous support of technology, Web 2 and Web 3 can play an important role in improving search results, data integration andmetadata and technological convergence between the two areas of the web. The proposed model evaluation was conducted in two phases andincluded the main variables, namely, improve search results and technological convergence .The first phase compare the proposedmethodology of experimental research background in terms of nature, structure and the opportunities and challenges. In the second phase ,with 100 different query, the proposed methodology (based on the technologies of Web 3 - Web 2 ) with a model based on relational database (technologies of Web 2 ) is evaluated.The results show that the proposed methodology has the ability to respond and cover semantic technology.

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نویسندگان

Maryam Mokhberi

MSc graduate; Department of Computer Engineering,Yazd Science and Research Branch Islamic Azad University,Yazd,Iran.

Kamal Mirzaie

Assistant Professor,Department of Computer Engineering,Maybod Branch, Islamic Azad University,Maybod,Iran.

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