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We have described a prototype crawler-based indexing and retrieval system for the Semantic Web Documents, i.e., web documents written in RDF or OWL
Swoogle: a search and metadata engine for the semantic web
CIKM, pp.652-659, (2004)
Swoogle is a crawler-based indexing and retrieval system for the Semantic Web. It extracts metadata for each discovered document, and computes relations between documents. Discovered documents are also indexed by an information retrieval system which can use either character N-Gram or URIrefs as keywords to find relevant documents and to ...More
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- The Semantic Web, currently in the form of a web of Semantic Web documents, is essentially a web universe parallel to the web of online documents.
- Since no conventional search engines can take advantage of such features, a search engine customized for SWDs, especially for ontologies, is needed by human users as well as software agents and services.
- At this stage, human users are expected to be semantic web researchers and developers who are interested in accessing, exploring and querying the RDF and OWL documents found on the web.
- Swoogle helps users to find ontologies containing specified terms, and users may even qualify the type (class
- The Semantic Web, currently in the form of a web of Semantic Web documents, is essentially a web universe parallel to the web of online documents
- Current web search engines such as Google and AlltheWeb do not work well with Semantic Web document since they are designed to work with natural languages and expect documents to contain unstructured text composed of words
- Accompany with the growth of the Semantic Web, powerful search and indexing systems are highly needed by the Semantic Web researchers to help them find and analyze Semantic Web document on the web
- Such systems can be used to support the tools being developed by researchers – such as annotation editors – as well as software agents whose knowledge comes from the semantic web
- We have described a prototype crawler-based indexing and retrieval system for the Semantic Web Documents, i.e., web documents written in RDF or OWL
- One of the interesting properties computed for each semantic web document is its rank – a measure of the documents importance on the Semantic Web
- CONCLUSIONS AND FUTURE
Current web search engines such as Google and AlltheWeb do not work well with SWDs since they are designed to work with natural languages and expect documents to contain unstructured text composed of words.
- Accompany with the growth of the Semantic Web, powerful search and indexing systems are highly needed by the Semantic Web researchers to help them find and analyze SWDs on the web
- Such systems can be used to support the tools being developed by researchers – such as annotation editors – as well as software agents whose knowledge comes from the semantic web.
- Table1: Extensions of SWD (Aug 30, 2004)
- Table2: Google search results (May 25,2004)
- Table3: Indicators of inter-ontology relation
- Table4: Top 12 ranked SWDs (May 25,2004)
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