%0 Conference Paper %1 bhagdev2008hybrid %A Bhagdev, Ravish %A Chapman, Sam %A Ciravegna, Fabio %A Lanfranchi, Vitaveska %A Petrelli, Daniela %B Proceedings of the 5th European Semantic Web Conference %C Berlin, Heidelberg %D 2008 %E Hauswirth, Manfred %E Koubarakis, Manolis %E Bechhofer, Sean %I Springer Verlag %K hibrid keywords search semantic %T Hybrid Search: Effectively Combining Keywords and Ontology-based Searches %U http://data.semanticweb.org/conference/eswc/2008/papers/108 %X This paper describes hybrid search, a semantic methodology supporting both document and knowledge retrieval via the flexible combination of ontology-based search and keyword-matching. Hybrid search aims to smoothly cope with lack of semantic coverage of document content, which is one of the main limitations of current semantic search methods. In this paper we define hybrid search formally, discuss its compatibility with the current semantic trends and present a reference implementation: K-Search. We then show how the methodology outperforms both keyword-based search and pure semantic search in terms of precision and recall in a set of experiments performed on a very large collection of documents. Experiments carried out with professional users show that users understand the paradigm and consider it very powerful and reliable. K-Search has been ported to 2 applications released at Rolls-Royce plc for searching technical documentation about jet engines.

@inproceedings{bhagdev2008hybrid, abstract = {This paper describes hybrid search, a semantic methodology supporting both document and knowledge retrieval via the flexible combination of ontology-based search and keyword-matching. Hybrid search aims to smoothly cope with lack of semantic coverage of document content, which is one of the main limitations of current semantic search methods. In this paper we define hybrid search formally, discuss its compatibility with the current semantic trends and present a reference implementation: K-Search. We then show how the methodology outperforms both keyword-based search and pure semantic search in terms of precision and recall in a set of experiments performed on a very large collection of documents. Experiments carried out with professional users show that users understand the paradigm and consider it very powerful and reliable. K-Search has been ported to 2 applications released at Rolls-Royce plc for searching technical documentation about jet engines.}, added-at = {2009-03-16T12:08:41.000+0100}, address = {Berlin, Heidelberg}, author = {Bhagdev, Ravish and Chapman, Sam and Ciravegna, Fabio and Lanfranchi, Vitaveska and Petrelli, Daniela}, biburl = {https://www.bibsonomy.org/bibtex/21adb4b2e579baebf8472f1ab8160098e/davidlan}, booktitle = {Proceedings of the 5th European Semantic Web Conference}, editor = {Hauswirth, Manfred and Koubarakis, Manolis and Bechhofer, Sean}, interhash = {9424958cd8bfd6fcc348b00d140daac5}, intrahash = {1adb4b2e579baebf8472f1ab8160098e}, keywords = {hibrid keywords search semantic}, month = {June}, publisher = {Springer Verlag}, series = {LNCS}, timestamp = {2009-03-16T12:08:41.000+0100}, title = {Hybrid Search: Effectively Combining Keywords and Ontology-based Searches}, url = {http://data.semanticweb.org/conference/eswc/2008/papers/108}, year = 2008 }