Recommendation agents in intelligent query answering systems

Author

Sun Yu ; Li Zhiping ; Xie Jili

Author_Institution

Sch. of Inf. Sci. & Technol., Yunnan Normal Univ., Kunming, China

fYear

2013

fDate

26-28 April 2013

Firstpage

441

Lastpage

445

Abstract

In this paper, after the introduction of ontology-based knowledge bases and user models, a model of recommendation agents that can query over distributed knowledge bases with heterogeneity for web-based intelligent query answering systems is proposed, and the query answering process of these agents is analyzed. Ontologies are introduced to describe the semantic information of knowledge bases in order to express fully the semantics of queries in our web-based intelligent query answering system. This model improves the relevance of the query results. At the same time, it reflects the dynamic change of the information in the knowledge bases and reduces the consistency and efficiency problem caused by using globe ontology.

Keywords

Internet; knowledge based systems; multi-agent systems; ontologies (artificial intelligence); query processing; recommender systems; Web-based intelligent query answering systems; consistency problem; distributed knowledge bases; efficiency problem; globe ontology; ontology-based knowledge bases; recommendation agents; Adaptation models; Computers; Indexes; Information retrieval; Ontologies; Semantics; Sun; intelligent query answering systems; ontology-based knowledge bases; recommendation agents; user models;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2013 8th International Conference on

Conference_Location

Colombo

Print_ISBN

978-1-4673-4464-7

Type

conf

DOI

10.1109/ICCSE.2013.6553952

Filename

6553952