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Apr

18

web-survey-sw.jpegMichiel Hildebrand compiled a list of systems that provide access to semantic web data through a graphical user interface. He was interested in systems that provide some form of free text search, in addition to those that include different forms of browsing. For each system he stated the intended purpose, intended users, the scope, the triple store and optionally the technique or software that is used for literal indexing.

Secondly, he analyzed the systems in three different stages of the search process: input, processing and search results, as well as the role of user feedback within these. For each of these he considered the functionality that the system provides and how this is made available through the graphical user interface.

Interested? Visit his survey page here.

For me, his survey is very interesting, especially when I face difficulty in implementing free text search on the semantic web, if it should be fully depended on the SPARQL or native semantic query languages. For my SWHi project implementation, I use Lucene/Solr to index the ontology and provide free-test and faceted search as well. Apparently, many of the surveyed systems also use Lucene to index their literal (textual) values, such as: HybridSearch, KIM, Longwell, SemSearch, Squiggle, and SWSE.



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