Automatic ontology construction approach from web pages / Naglaa Elsayed Ahmed Mohamed Elmesalmy ; Supervised Magda B. Fayek , Mayada M. Hadhoud

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Naglaa Elsayed Ahmed Mohamed Elmesalmy

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TextLanguage: English Publication details: Cairo : Naglaa Elsayed Ahmed Mohamed Elmesalmy , 2019Description: 54 P. : charts , facsimiles , maps ; 30cmOther title:

طريقة لإنشاء الانتولوجي من صفحات الويب اوتوماتيكيا [Added title page title]

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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering Summary: In the thesis, a new approach for automatic ontology construction from web pages is proposed. The proposed approach works as follows: first the triples of the document are extracted, next it utilizes natural language processing techniques to process the extracted triples, and finally it applies ontology design patterns before inserting triples into ontology. Our proposed approach is compared with the previous related work and the results show that we are closed to cover all the information in the documents correctly. Our system is better at reducing repeat rate where it do not insert the same object twice and do not repeat the relation between two concepts. Also our ontology is simpler representation than other work

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Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.06.M.Sc.2019.Na.A (Browse shelf(Opens below))		Not for loan		01010110079138000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.06.M.Sc.2019.Na.A (Browse shelf(Opens below))	79138.CD	Not for loan		01020110079138000

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Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering

In the thesis, a new approach for automatic ontology construction from web pages is proposed. The proposed approach works as follows: first the triples of the document are extracted, next it utilizes natural language processing techniques to process the extracted triples, and finally it applies ontology design patterns before inserting triples into ontology. Our proposed approach is compared with the previous related work and the results show that we are closed to cover all the information in the documents correctly. Our system is better at reducing repeat rate where it do not insert the same object twice and do not repeat the relation between two concepts. Also our ontology is simpler representation than other work

Issued also as CD

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