Semantics Based Web Data Filtering Agents

Author

Sousan, William L. ; Payne, Matt ; Nickell, Ryan ; Zhu, Qiuming

Author_Institution

Dept. of Comput. Sci., Nebraska Univ., Omaha, NE

fYear

2007

fDate

April 30 2007-May 3 2007

Firstpage

342

Lastpage

347

Abstract

The World Wide Web contains a plethora of information that exists in structured, semi-structured, and unstructured formats. Furthermore, the same information can be textually described in many different ways. As a result, it creates challenges for automated systems in retrieving data from various sources and combining them into a single knowledgebase. To improve upon this process, we introduce SBIWS, a semantics based intelligent Web service architecture, which allows the user to create a customized ontology based on metadata definitions which are used for gradually accumulating the extracted information into a domain-specific knowledgebase. SBIWS is a multi-agent system that uses software agents to configure user´s subjects of interest, build up and refine a dictionary-like metadata repository according to users´ requirements and preference, and grow this repository in an incremental learning process

Keywords

Internet; information filtering; multi-agent systems; ontologies (artificial intelligence); software agents; World Wide Web; customized ontology; incremental learning process; intelligent Web service architecture; metadata repository; multiagent system; semantics based Web data filtering agents; software agents; Computer architecture; Data mining; Information filtering; Information filters; Information retrieval; Intelligent agent; Ontologies; Service oriented architecture; Web services; Web sites;

fLanguage

English

Publisher

ieee

Conference_Titel

Integration of Knowledge Intensive Multi-Agent Systems, 2007. KIMAS 2007. International Conference on

Conference_Location

Waltham, MA

Print_ISBN

1-4244-0944-6

Electronic_ISBN

1-4244-0945-4

Type

conf

DOI

10.1109/KIMAS.2007.369833

Filename

4227572