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Method of Improving Personal Name Search in Academic Information Service

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초록

All academic information on the web or elsewhere has its creator, thatis, a subject who has created the information. The subject can be anindividual, a group, or an institution, and can be a nation dependingon the nature of the relevant information. Most information is composedof a title, an author, and contents. An essay which is under the academicinformation category has metadata including a title, an author, keyword,abstract, data about publication, place of publication, ISSN, and thelike. A patent has metadata including the title, an applicant, an inventor,an attorney, IPC, number of application, and claims of the invention. Most web-based academic information services enable users to searchthe information by processing the meta-information. An important elementis to search information by using the author field which correspondsto a personal name. This study suggests a method of efficient indexingand using the adjacent operation result ranking algorithm to which phrasesearch-based boosting elements are applied, and thus improving theaccuracy of the search results of personal names. It also describes amethod for providing the results of searching co-authors and relatedresearchers in searching personal names. This method can be effectivelyapplied to providing accurate and additional search results in the academicinformation services.

Abstract

All academic information on the web or elsewhere has its creator, thatis, a subject who has created the information. The subject can be anindividual, a group, or an institution, and can be a nation dependingon the nature of the relevant information. Most information is composedof a title, an author, and contents. An essay which is under the academicinformation category has metadata including a title, an author, keyword,abstract, data about publication, place of publication, ISSN, and thelike. A patent has metadata including the title, an applicant, an inventor,an attorney, IPC, number of application, and claims of the invention. Most web-based academic information services enable users to searchthe information by processing the meta-information. An important elementis to search information by using the author field which correspondsto a personal name. This study suggests a method of efficient indexingand using the adjacent operation result ranking algorithm to which phrasesearch-based boosting elements are applied, and thus improving theaccuracy of the search results of personal names. It also describes amethod for providing the results of searching co-authors and relatedresearchers in searching personal names. This method can be effectivelyapplied to providing accurate and additional search results in the academicinformation services.

참고문헌 (12)

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  3. Culotta, A., "Author disambiguation using error-driven machine learning with a ranking loss function", Workshop on Information Integration on the Web - WIIW, 2006, pp.32~37 (2007)
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  8. Piskorski, J., "On knowledge-poor methods for person name matching and lemmatization for highly inflectional languages", Information retrieval, 12(3), pp.275~299 (2009)
  9. Schutze, H., "Automatic word sense discrimination", Computational Linguistics, 24(1), pp.97~123 (1998)
  10. Vu, Q. M., "Disambiguation of people in web search using a knowledge base", IEEE International Conference on Research, Innovation and Vision for the Future, 2007, pp.185~191 (2007)
  11. Overview of Record Linkage and Current Research Directions, "Winkler, W. E.", Statistical Research Division, U.S. Census Bureau, ~ (2006)
  12. Yang, K. H., "Author name disambiguation for citations using topic and web correlation", European Conference on Digital Libraries -ECDL, 2008, pp.185~196 (2008)

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