Article

An architecture for personal semantic web information retrieval system

Authors:

Haibo Yu,

Tsunenori Mine,

Makoto AmamiyaAuthors Info & Claims

WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web

Pages 974 - 975

https://doi.org/10.1145/1062745.1062825

Published: 10 May 2005 Publication History

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Abstract

The semantic Web and Web service technologies have provided both new possibilities and challenges to automatic information processing. There are a lot of researches on applying these new technologies into current personal Web information retrieval systems, but no research addresses the semantic issues from the whole life cycle and architecture point of view. Web services provide a new way for accessing Web resources, but until now, they have been managed separately from traditional Web contents resources. In this poster, we propose a conceptual architecture for a personal semantic Web information retrieval system. It incorporates semantic Web, Web services and multi-agent technologies to enable not only precise location of Web resources but also the automatic or semi-automatic integration of hybrid Web contents and Web services.

References

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R. Guha, R. McCool, and E. Miller. Semantic search. In Proceedings of WWW2003, pages 700--709, 2003.

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[2]

D. Quan and D. R. Karger. How to make a semantic web browser. In Proceedings of WWW2004, pages 255--265, 2004.

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[3]

H. Yu, T. Mine, and M. Amamiya. Towards automatic discovery of web portals -semantic description of web portal capabilities-. In Semantic Web Services and Web Process Composition: First International Workshop, SWSWPC 2004, July 6, 2004, LNCS 3387/2005, pages 124--136.

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[4]

H. Yu, T. Mine, and M. Amamiya. Towards a semantic myportal. In The 3rd International Semantic Web Conference ISWC 2004 Poster Abstracts, pages 95--96, 2004.

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Cited By

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Nagarajan GThyagharajan K(2012)A Machine Learning Technique for Semantic Search EngineProcedia Engineering10.1016/j.proeng.2012.06.26038(2164-2171)Online publication date: 2012
https://doi.org/10.1016/j.proeng.2012.06.260
Ali MRajamani L(2012)APD: ARM Deceptive Phishing Detector System Phishing Detection in Instant Messengers Using Data Mining ApproachGlobal Trends in Computing and Communication Systems10.1007/978-3-642-29219-4_56(490-502)Online publication date: 2012
https://doi.org/10.1007/978-3-642-29219-4_56
Bresfelean VBresfelean MGhiran A(2011)Ontology Importance towards Enhancing Suggestions in a News Recommender System for a Financial InvestorMetadata and Semantic Research10.1007/978-3-642-24731-6_18(178-185)Online publication date: 2011
https://doi.org/10.1007/978-3-642-24731-6_18
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Index Terms

An architecture for personal semantic web information retrieval system
1. Information systems

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Reviews

Reviewer: Satadip Dutta

Web services provide a mechanism to access and integrate disparate Web resources. The semantic Web, on the other hand, provides a common framework for data sharing and reuse among disparate Web resources. This paper presents an interesting combination of these existing mechanisms to create the concept of a personal Web information retrieval system. The authors attempt to fill the void of existing information portals that provide limited semantic customization of the information being retrieved. The paper begins with the foundational design ideas behind the concept: the users will contribute the semantic description of the data by providing accurate meta-information, and the contents of various Web resources will be integrated using Web services. This will enable the end user to set personal preferences for the type of information he or she wants to retrieve. The capabilities of the Web site are described in the Web site capability description (WSCD). The myPortal layer consists of components that support information management, a common domain ontology, and a provider to allow information consumption by human and machines. The mediator layer consists of the consumer search agents (CSAs) and the provider search agents (PSAs). The CSAs are responsible for interacting with the interfaces in the myPortal layer to obtain user preferences and return the results. The PSAs are responsible for interacting with the Web resources that have been described in the WSCD. Although the architecture leverages existing technologies, a vast majority of the existing Web resources have not adopted semantic Web technologies like the resource description framework (RDF). This concept may not result in immediate changes to existing information portals; however, the success of the prototype may lead to a faster adoption of semantic Web technologies. The development of the actual prototype based on this architecture will reveal its effectiveness and shortcomings. This paper, and the others that will result from the prototype, can potentially provide insight into the development of the next generation of information retrieval systems. Online Computing Reviews Service

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Information

Published In

WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web

May 2005

454 pages

ISBN:1595930515

DOI:10.1145/1062745

Conference Chairs:
Allan Ellis
Southern Cross University, Australia
,
Tatsuya Hagino
Keio University, Japan
,
Program Chairs:
Fred Douglis
IBM Research
,
Prabhakar Raghavan
Verity, Inc.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 May 2005

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all

Nagarajan GThyagharajan K(2012)A Machine Learning Technique for Semantic Search EngineProcedia Engineering10.1016/j.proeng.2012.06.26038(2164-2171)Online publication date: 2012
https://doi.org/10.1016/j.proeng.2012.06.260
Ali MRajamani L(2012)APD: ARM Deceptive Phishing Detector System Phishing Detection in Instant Messengers Using Data Mining ApproachGlobal Trends in Computing and Communication Systems10.1007/978-3-642-29219-4_56(490-502)Online publication date: 2012
https://doi.org/10.1007/978-3-642-29219-4_56
Bresfelean VBresfelean MGhiran A(2011)Ontology Importance towards Enhancing Suggestions in a News Recommender System for a Financial InvestorMetadata and Semantic Research10.1007/978-3-642-24731-6_18(178-185)Online publication date: 2011
https://doi.org/10.1007/978-3-642-24731-6_18
Kularbphettong KClayton GMeesad P(2010)e-Wedding Based on Multi-agent SystemTrends in Practical Applications of Agents and Multiagent Systems10.1007/978-3-642-12433-4_34(285-293)Online publication date: 2010
https://doi.org/10.1007/978-3-642-12433-4_34
Ren FBracewell D(2009)Advanced Information RetrievalElectronic Notes in Theoretical Computer Science (ENTCS)10.1016/j.entcs.2008.12.082225(303-317)Online publication date: 1-Jan-2009
https://dl.acm.org/doi/10.1016/j.entcs.2008.12.082
Kim JKim JKim C(2007)Ontology-based user preference modeling for enhancing interoperability in personalized servicesProceedings of the 4th international conference on Universal access in human-computer interaction: applications and services10.5555/1757148.1757250(903-912)Online publication date: 22-Jul-2007
https://dl.acm.org/doi/10.5555/1757148.1757250
Chen XKiyoki Y(2007)Dynamic semantic retrieval space reconstruction for WWW environmentsProceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology10.5555/1322468.1322480(69-77)Online publication date: 2-Apr-2007
https://dl.acm.org/doi/10.5555/1322468.1322480

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Agent-Community-based P2P semantic MyPortal information retrieval system architecture

A Semantic Web Services Architecture

DAML Enabled Web Services and Agents in the Semantic Web

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