DocumentCode
2607357
Title
Prototype of semantic search engine using ontology
Author
Esa, Ahmad Maziz ; Taib, Shakirah Mohd ; Hong Nguyen Thi
Author_Institution
Comput. Inf. Sci., Univ. Teknol. Petronas, Tronoh, Malaysia
fYear
2010
fDate
5-7 Dec. 2010
Firstpage
109
Lastpage
114
Abstract
In this paper we discuss the fundamental problem of information retrieval on the Web. Information on the Web is not semantically categorized and stored. This research focuses on applying semantic capabilities using ontology on search engine. By using ontology, search engine can search keywords that are conceptually linked instead of just similarity of the words used. This paper also provides in depth description of the architecture design of our proposed modified search engine. This paper describes how the mechanism is designed so that the search engine can extract information stored based on the ontology and present a semantically linked search results. The benefits and future improvements are also discussed.
Keywords
Internet; information retrieval; ontologies (artificial intelligence); search engines; architecture design; depth description; information extraction; information retrieval; ontology; semantic search engine; Crawlers; Data mining; Indexes; Ontologies; Search engines; Semantics; Web pages; information retrieval; ontology; search engine; semantic;
fLanguage
English
Publisher
ieee
Conference_Titel
Open Systems (ICOS), 2010 IEEE Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-9193-3
Type
conf
DOI
10.1109/ICOS.2010.5720073
Filename
5720073
Link To Document