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eBizSearch: a niche search engine for e-business

Published: 28 July 2003 Publication History

Abstract

Niche Search Engines offer an efficient alternative to traditional search engines when the results returned by general-purpose search engines do not provide a sufficient degree of relevance. By taking advantage of their domain of concentration they achieve higher relevance and offer enhanced features. We discuss a new niche search engine, eBizSearch, based on the technology of CiteSeer and dedicated to e-business and e-business documents. We present the integration of CiteSeer in the framework of eBizSearch and the process necessary to tune the whole system towards the specific area of e-business. We also discuss how using machine learning algorithms we generate metadata to make eBizSearch Open Archives compliant. eBizSearch is a publicly available service and can be reached at [3].

References

[1]
S. Chakrabarti, M. Van den Berg, B. Dom, "Focused crawling: a new approach to topic-specific Web resource discovery", In Proceedings of the 8th International World Wide Web Conference, pp 1623--1640, Amsterdam, Netherlands, 1999.
[2]
CiteSeer homepage, http://www.citeseer.com.
[3]
eBizSearch homepage, http://www.ebizsearch.org.
[4]
eBizSearch OAI base URL, http://www.ebizsearch.org/oai.
[5]
C.L. Giles, K. Bollacker, S. Lawrence, "CiteSeer: An Automatic Citation Indexing System", In Proceedings of the 3rd ACM Conference on Digital Libraries (DL'98), pp. 89--98, 1998.
[6]
IDEAS homepage, http://ideas.repec.org/.
[7]
T. Joachims, "Text categorization with support vector machines: learning with many relevant features", In Proceedings of the 10th European Conference on Machine Learning (ECML-98), pp 137--142, 1998.
[8]
S. Lawrence, C.L. Giles, "The Inquirus Meta Search Engine", In Proceedings of the 7th International World Wide Web Conference, pp 95--105, 1998.
[9]
"The OAI Protocol for Metadata Harvesting", http://www.openarchives.org/OAI/openarchivesprotocol.htm.
[10]
K. Seymore, A. McCallum, R. Rosenfeld, "Learning hidden Markov model structure for information extraction", In Proceedings of the AAAI 99 Workshop on Machine Learning for Information Extraction, pp 37--42, 1999.

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  • (2022)Internal Search Engine and Recommender System with Natural Language Processing in PaaS2022 IEEE/ACIS 20th International Conference on Software Engineering Research, Management and Applications (SERA)10.1109/SERA54885.2022.9806793(63-69)Online publication date: 25-May-2022
  • (2014)Automatic semantic classification and categorization of web services in digital environmentInternational Conference on Computing and Communication Technologies10.1109/ICCCT2.2014.7066749(1-6)Online publication date: Dec-2014
  • (2011)Focused Crawling for Automatic Service Discovery, Annotation, and Classification in Industrial Digital EcosystemsIEEE Transactions on Industrial Electronics10.1109/TIE.2010.205075458:6(2106-2116)Online publication date: Jun-2011
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cover image ACM Conferences
SIGIR '03: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
July 2003
490 pages
ISBN:1581136463
DOI:10.1145/860435
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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Publication History

Published: 28 July 2003

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Author Tags

  1. OAI
  2. SVM
  3. citeseer
  4. digital library
  5. e-business
  6. eBizSearch
  7. machine learning
  8. metadata
  9. search engine
  10. tagging

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SIGIR '03 Paper Acceptance Rate 46 of 266 submissions, 17%;
Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

View all
  • (2022)Internal Search Engine and Recommender System with Natural Language Processing in PaaS2022 IEEE/ACIS 20th International Conference on Software Engineering Research, Management and Applications (SERA)10.1109/SERA54885.2022.9806793(63-69)Online publication date: 25-May-2022
  • (2014)Automatic semantic classification and categorization of web services in digital environmentInternational Conference on Computing and Communication Technologies10.1109/ICCCT2.2014.7066749(1-6)Online publication date: Dec-2014
  • (2011)Focused Crawling for Automatic Service Discovery, Annotation, and Classification in Industrial Digital EcosystemsIEEE Transactions on Industrial Electronics10.1109/TIE.2010.205075458:6(2106-2116)Online publication date: Jun-2011
  • (2011)A framework for discovering and classifying ubiquitous services in digital health ecosystemsJournal of Computer and System Sciences10.1016/j.jcss.2010.02.00977:4(687-704)Online publication date: 1-Jul-2011
  • (2009)State of the Art in Semantic Focused CrawlersProceedings of the International Conference on Computational Science and Its Applications: Part II10.1007/978-3-642-02457-3_74(910-924)Online publication date: 9-Jul-2009
  • (2008)State of the art in metadata abstraction crawlers2008 IEEE International Conference on Industrial Technology10.1109/ICIT.2008.4608573(1-6)Online publication date: Apr-2008
  • (2006)Automatic extraction of titles from general documents using machine learningInformation Processing and Management: an International Journal10.1016/j.ipm.2005.12.00142:5(1276-1293)Online publication date: 1-Sep-2006
  • (2005)Automatic extraction of titles from general documents using machine learningProceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries10.1145/1065385.1065418(145-154)Online publication date: 7-Jun-2005

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