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An ontology-driven concept-based inf...

Li, Zhan.

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An ontology-driven concept-based information retrieveal approach for Web documents.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	An ontology-driven concept-based information retrieveal approach for Web documents./
作者:	Li, Zhan.
面頁冊數:	171 p.
附註:	Source: Dissertation Abstracts International, Volume: 71-10, Section: B, page: 6311.
Contained By:	Dissertation Abstracts International71-10B.
標題:	Engineering, Computer. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR62520
ISBN:	9780494625200

An ontology-driven concept-based information retrieveal approach for Web documents.
Li, Zhan.

An ontology-driven concept-based information retrieveal approach for Web documents. - 171 p.

Source: Dissertation Abstracts International, Volume: 71-10, Section: B, page: 6311.

Thesis (Ph.D.)--University of Alberta (Canada), 2010.

Building computer agents that can utilize the meanings in the text of Web documents is a promising extension of current search technology. Concept-based information retrieval applies "intelligent" agents to identify Web documents that match user queries. A new concept-based information retrieval framework, Hybrid Ontology-based Textual Information Retrieval (HOTIR), is introduced in this thesis. HOTIR accepts conventional keyword-based queries, translates them into concept-based queries, enriches definitions of concepts with supplementary knowledge from a knowledge base, and ranks documents by aggregating "equivalent" concepts identified in them. The concept-based queries in HOTIR are organized in a hierarchy of concepts (HofC) and definitions of concepts are added from a knowledge base to enhance their meanings. The knowledge base is a modified ontology (ModOnt) that can enrich the HofC with concept definitions in the form of related-concepts, terms, their importance values, and their relations. The ModOnt relies on an adaptive assignment of term importance (AATI) scheme that continuously updates the importance of terms/concepts using Web documents. The identified concepts in a Web document that match those in the HofC are evaluated using ordered weighted averaging (OWA) operators, and documents are ranked according to the degree to which they satisfy the HofC. The case studies and experiments presented in the thesis are designed to validate the performance of HOTIR.

ISBN: 9780494625200Subjects--Topical Terms:

1669061
Engineering, Computer.

An ontology-driven concept-based information retrieveal approach for Web documents.
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