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| dc.contributor.author | Князева, Анна Анатольевна | ru_RU |
| dc.contributor.author | Колобов, Олег Сергеевич | ru_RU |
| dc.contributor.author | Турчановский, Игорь Юрьевич | ru_RU |
| dc.contributor.author | Федотов, Анатолий Михайлович | ru_RU |
| dc.contributor.author | Knyazeva, A.A. | en_EN |
| dc.contributor.author | Kolobov, O.S. | en_EN |
| dc.contributor.author | Turchanovsky, I.Yu. | en_EN |
| dc.contributor.author | Fedotov, A.M. | en_EN |
| dc.creator | Отдел проблем информатизации ТНЦ СО РАН | ru_RU |
| dc.creator | Институт сильноточной электроники СО РАН | ru_RU |
| dc.creator | Институт вычислительных технологий СО РАН | ru_RU |
| dc.creator | Новосибирский государственный университет | ru_RU |
| dc.creator | Department of Informatization Problems, Tomsk centre of Siberian Branch of RAS | en_EN |
| dc.creator | Institute of High Current Electronics SB RAS | en_EN |
| dc.creator | Institute of Computational Technologies SB RAS | en_EN |
| dc.creator | Novosibirsk State University | en_EN |
| dc.date.accessioned | 2013-03-01T13:02:43Z | |
| dc.date.available | 2013-03-01T13:02:43Z | |
| dc.date.issued | 2013-03-01 | |
| dc.identifier.citation | Князева А.А., Колобов О. С., Турчановский И. Ю., Федотов А. М. Ранжированный поиск в библиографических базах данных // Вестник НГУ. Серия: Информационные технологии. 2009. Том 7, выпуск 4, - c. 81 - 96. - ISSN 1818-7900. | ru_RU |
| dc.identifier.citation | Knyazeva A.A., Kolobov O.S., Turchanovskiy I.Yu., Fedotov A. M. Ranked searching bibliographic databases // Vestnik NGU. Series: Information Technology. 2009 Volume 7, Issue 4, - pp. 81 - 96. - ISSN 1818-7900. | en_EN |
| dc.identifier.issn | 1818-7900 | |
| dc.identifier.uri | https://lib.nsu.ru/xmlui/handle/nsu/268 | |
| dc.description.abstract | В работе дается описание подхода к ранжированному поиску в библиографических базах данных, с помощью которого решается проблема эффективного тематического поиска в автоматизированных библиотечных каталогах. Библиографические записи рассматриваются в работе как структурированные короткие документы, которые могут состоять из нескольких зон. Это позволяет нам вычислять оценку документа по отношению к поисковому запросу с учетом различных зон документа. Полученные оценки документов применяются для ранжирования результатов поиска. Рассмотрены различные модели ранжированного поиска, а также подход к мета-поиску, для множества библиографических баз данных. | ru_RU |
| dc.description.abstract | The paper describes the approach to the ranked search in bibliographic databases. The problem of effective subject search in automated library catalogs is solved with this approach. Bibliographic record is considered as structured docu-ment, which may consist of a several zones. This allows us to calculate the assessment in relation to the search query ac-cording to different zones of the document. The obtained estimates documents are used for ranking search results. There are considered various models of ranked search, as well as the approach to meta-search, for a variety of bibliographic databases. | en_EN |
| dc.language.iso | ru | |
| dc.publisher | Новосибирский государственный университет | ru_RU |
| dc.subject | информационный поиск | ru_RU |
| dc.subject | базы данных | ru_RU |
| dc.subject | ранжирование | ru_RU |
| dc.subject | метаданные | ru_RU |
| dc.subject | мета-поиск | ru_RU |
| dc.subject | information retrieval, databases, ranking, metadata, meta-search. | en_EN |
| dc.title | Ранжированный поиск в библиографических базах данных | ru_RU |
| dc.title.alternative | Ranked search in bibliographic databases | en |
| dc.type | Article | |
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| dc.description.reference | 1. Lavrenova O.A. Thematic search in electronic catalogs and digital libraries // Libraries and Associations in the Transient World: New Technologies and New Forms of Cooperation: Tr. Conf. M., 2004. 2. Fedotov A.M., Barakhnin V.B. Problems finding information: history and technology // Vestnik NSU. Series: Information Technology. 2009. T. 7, no. 2. S. 3-17. - ISSN: 1818-7900 3. Salton G., Fox E. A., Wu H. Extended Boolean Information Retrieval // Commun. ACM. No-vember 1983. Vol. 26 (11). P. 1022–1036. 4. Robertson S. E. The Probability Ranking Principle // Journal of Documentation. 1977. Vol. 33. P. 294–304. 5. Rijsbergen C. J. van. Information Retrieval. 2nd ed. Dept. of Computer Science, University of Glasgow, 1979. 6. Sparck J. K., Walker S., Robertson S. E. A Probabilistic Model of Information Retrieval: Development and Comparative Experiments // Information Processing and Management. 2000. Vol. 36. Part 1. P. 779–808; Part 2. P. 809–840. 7. Robertson S., Zaragoza H., Taylor M. Simple BM25 Extension to Multiple Weighted Fields // CIKM’04. 2004. P. 42–49. 8. Lu W., Robertson S., MacFarlane A. Field-Weighted XML Retrieval Based on BM25 // INEX. 2005. P. 161–171. 9. Robertson S. E., Walker S., Hancock-Beaulieu M., Gatford M., Payne A. Okapi at TREC-4 // Proceedings of the 4th Text REtrieval Conference (TREC-4). 1995. 10. Larson R. R., McDonough J., O’Leary P., Kuntz L., Moon R. Cheshire II: Designing a Next-Generation Online Catalog // J. Am. Soc. Inf. Sci. Jul. 1996. Vol. 47 (7). P. 555–567. URL: http://dx.doi.org/10.1002/(SICI)1097-4571(199607)47:7<555::AID-ASI7>3.0.CO;2-T 11. Larson R. R. Classification Clustering, Probabilistic Information Retrieval, and Online Catalog // Library Quarterly. Vol. 61. P. 133–173. 12. Larson R. R. Evaluation of Advanced Retrieval Techniques in an Experimental Online Cata-log // Journal of the American Society for Information science. Vol. 43. P. 34–53. 13. Aslam J. A., Montague M. Models for Metasearch // Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in information Retrieval (New Orleans, Louisiana, United States). SIGIR ´01. ACM. N. Y., NY, 2001. P. 276–284. URL: http://doi.acm.org/10.1145/383952.384007 14. Thompson P. A Combination of Expert Opinion Approach to Probabilistic Information Re-trieval, Part 1: The Conceptual Model // Information Processing and Management. 1990. Vol. 26 (3). P. 371–382. 15. Thompson P. A Combination of Expert Opinion Approach to Probabilistic Information Retrieval. Part 2: Mathematical Treatment of CEO Model 3 // Information Processing and Management. 1990. Vol. 26 (3). P. 383–394. 16. Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schutze. Introduction to Infor-mation Retrieval. Cambridge University Press, 2008. 17. Salton G. Automatic Information Organization and Retrieval, McGraw-Hill, New York, 1968. - 560 с. 18. Selberg E., Etzioni O. On the Instability of Web Search Engines // Proceeding of RIAO. 2000. 19. Ng K. B., Kantor P. B. An Investigation of the Preconditions for Effective Data Fussion in Ir: A Pilot Study // Proceedings of the 61th Annual Meeting of the American Society for Information Science, 1998. 20. Salton G., Wong A., Yang C.S. A Vactor Space Model for Automatic Indexing // Communi-cations of the ACM. 1975. Vol. 18. No. 11. P. 613–620. | en_EN |
| dc.subject.udc | 019.963.2:004.62 | |
| dc.relation.ispartofvolume | 7 | |
| dc.relation.ispartofnumber | 4 | |
| dc.relation.ispartofpages | 81 - 96 |
