Our Approach to Semantic Web

World Wide Web[1] is a rapidly evolving technology and arguably the greatest technological success in the history. From the start, dated back in the 1990, when web was just a collection of html documents it gathered a lot of attention from wide variety of people and continually introduced new and newer features. Gradually most of its contents turned into web application rather than being simple web pages and now is regarded as a great information source, communication media and the social network. Even so, it has been kept dumb since its birth and thus turned into a clutter of valuable resources where users often fail to find desired content and give up by blaming the whole internet system.

The fate of web would have been considered very dreadful if the notion of intelligent web did not exist. Web will perform much better if the concept of semantic web is implemented in the upcoming version of web, Web 3.0, which will be an intelligent one. The definition of Web 3.0 is somewhat disputed but everyone agree that, it would be a combination of Web 2.0 and Semantic Web on top of linked data.

Although, web is evolving from one version to another and increase own version number quite quietly, current web documents will certainly not fit into semantic web without modifications.

To provide sense in the web, web documents should also be sensible to the machines as well as to human beings. RDF [2] is a well-established technology for providing machine recognizable meaning to the web documents. These RDF documents constitute some URI [3]s and the resources are described in OWL [4] documents. RDF incorporates with RDFS [5] that describes the RDF vocabulary. RDF, RDFS, OWL and other documents that will constitute semantic web are necessarily XML documents. Web is now compiled of html documents in a scattered way. Introduction of such new technologies will obviously cause a shift in the internal structure of Web. Evidently,

Hence, a major target of our quest is to develop tools for opting in html documents to semantic web data. These documents have resources that are defined in some ontology. Henceforth, we should also provide some tool for automatically enriching and enhancing existing ontology; thus comparatively small ontology can be turned into a large one.

FootNote

[1] later in this text referred to as ‘Web’
[2] Resource Description Framework
[3] Universal Resource Identifiers
[4] Web Ontology Language
[5] RDF Schema