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Multi ontology query expansion in biological information retrieval system / Mohamed Marouf Zaki Ali Oshaiba ; Supervised Akram Ibrahim Salah , Enas M. Fahmy Elhouby

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mohamed Marouf Zaki Ali Oshaiba , 2016Description: 71 Leaves : photographs ; 30cmOther title:
  • التوسع الإستعلامى باستخدام الانطولوجيا المتعددة فى نظام استرجاع المعلومات البيولوجية [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science Summary: Biological researchers face a problem of finding what they are searching for in an effective and efficient way. So there is a clear need for an effective and efficient information retrieval system that meet the researchers{u2019} searching needs. This research proposes a framework that helps researchers to retrieve meaningful documents related to their asserted terms based on Gene Ontology. The system creates an efficient index of biological terms by using annotation to extract the relevant terms from the target documents. Query expansion is used to increases the meaningful search results. The system uses a ranking method to reorder the retrieved documents based on the ranking weights. The proposed system reduced the gene ontology size by 98.8 %. It also reduced the documents size by 94.7%. And finally it reaches 100% recall
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2016.Mo.M (Browse shelf(Opens below)) Not for loan 01010110070192000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2016.Mo.M (Browse shelf(Opens below)) 70192.CD Not for loan 01020110070192000

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science

Biological researchers face a problem of finding what they are searching for in an effective and efficient way. So there is a clear need for an effective and efficient information retrieval system that meet the researchers{u2019} searching needs. This research proposes a framework that helps researchers to retrieve meaningful documents related to their asserted terms based on Gene Ontology. The system creates an efficient index of biological terms by using annotation to extract the relevant terms from the target documents. Query expansion is used to increases the meaningful search results. The system uses a ranking method to reorder the retrieved documents based on the ranking weights. The proposed system reduced the gene ontology size by 98.8 %. It also reduced the documents size by 94.7%. And finally it reaches 100% recall

Issued also as CD

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