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dc.contributor.authorArslan, Ahmet
dc.contributor.authorYılmazel, Özgür
dc.date.accessioned2019-10-21T20:10:56Z
dc.date.available2019-10-21T20:10:56Z
dc.date.issued2010
dc.identifier.isbn9788360810279
dc.identifier.urihttps://hdl.handle.net/11421/19978
dc.description2010 International Multiconference on Computer Science and Information Technology, IMCSIT 2010 -- 18 October 2010 through 20 October 2010 -- Wisla -- 83701en_US
dc.description.abstractThe present work covers a comparison of the text retrieval qualities of open source relational databases and Lucene, which is a full text search engine library, over English documents. TREC-4 adhoc task is completed to compare both search effectiveness and search efficiency. Two relational database management systems and four different well-known English stemming algorithms have been tried. It has been found that language specific preprocessing improves retrieval quality for all systems. The results of the English text retrieval experiments by using Lucene are at par with top six results presented at TREC-4 automatic adhoc. Although open source relational databases integrated full text retrieval technology, their relevancy ranking mechanisms are not as good as Lucene'sen_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleQuality benchmarking relational databases and Lucene in the TREC4 adhoc task environmenten_US
dc.typeconferenceObjecten_US
dc.relation.journalProceedings of the International Multiconference on Computer Science and Information Technology, IMCSIT 2010en_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.identifier.volume5en_US
dc.identifier.startpage365en_US
dc.identifier.endpage372en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorYılmazel, Özgür


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