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
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;
Conference_Titel :
Open Systems (ICOS), 2010 IEEE Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-9193-3
DOI :
10.1109/ICOS.2010.5720073