2010arXiv (Cornell University)Open access

Engineering Semantic Web Applications by Using Object-Oriented Paradigm

Amjad Farooq, Syed Ahsan, Abad Shah

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Abstract

The web information resources are growing explosively in number and volume. Now to retrieve relevant data from web has become very difficult and time-consuming. Semantic Web envisions that these web resources should be developed in machine-processable way in order to handle irrelevancy and manual processing problems. Whereas, the Semantic Web is an extension of current web, in which web resources are equipped with formal semantics about their interpretation through machines. These web resources are usually contained in web applications and systems, and their formal semantics are normally represented in the form of web-ontologies. In this research paper, an object-oriented design methodology (OODM) is upgraded for developing semantic web applications. OODM has been developed for designing of web applications for the current web. This methodology is good enough to develop web applications. It also provides a systematic approach for the web applications development but it is not helpful in generating machine-pocessable content of web applications in their development. Therefore, this methodology needs to be extended. In this paper, we propose that extension in OODM. This new extended version is referred to as the semantic web object-oriented design methodology (SW-OODM).

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The web information resources are growing explosively in number and volume. Now to retrieve relevant data from web has become very difficult and time-consuming. Semantic Web envisions that these web resources should be developed in machine-processable way in order to handle irrelevancy and manual processing problems. Whereas, the Semantic Web is an extension of current web, in which web resources are equipped with formal semantics about their interpretation through machines. These web resources are usually contained in web applications and systems, and their formal semantics are normally represented in the form of web-ontologies. In this research paper, an object-oriented design methodology (OODM) is upgraded for developing semantic web applications. OODM has been developed for designing of web applications for the current web. This methodology is good enough to develop web applications. It also provides a systematic approach for the web applications development but it is not helpful in generating machine-pocessable content of web applications in their development. Therefore, this methodology needs to be extended. In this paper, we propose that extension in OODM. This new extended version is referred to as the semantic web object-oriented design methodology (SW-OODM).

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Available abstract

The web information resources are growing explosively in number and volume. Now to retrieve relevant data from web has become very difficult and time-consuming. Semantic Web envisions that these web resources should be developed in machine-processable way in order to handle irrelevancy and manual processing problems. Whereas, the Semantic Web is an extension of current web, in which web resources are equipped with formal semantics about their interpretation through machines. These web resources are usually contained in web applications and systems, and their formal semantics are normally represented in the form of web-ontologies. In this research paper, an object-oriented design methodology (OODM) is upgraded for developing semantic web applications. OODM has been developed for designing of web applications for the current web. This methodology is good enough to develop web applications. It also provides a systematic approach for the web applications development but it is not helpful in generating machine-pocessable content of web applications in their development. Therefore, this methodology needs to be extended. In this paper, we propose that extension in OODM. This new extended version is referred to as the semantic web object-oriented design methodology (SW-OODM).

Key concepts: Web modeling, Social Semantic Web, Computer science, Data Web, Web standards, Semantic Web Stack, Semantic Web, World Wide Web

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