A Fusion Approach to XML Structured Document Retrieval.
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| Title: | A Fusion Approach to XML Structured Document Retrieval. |
|---|---|
| Authors: | Larson, Ray R.1 ray@sims.berkeley.edu |
| Source: | Information Retrieval Journal. Dec2005, Vol. 8 Issue 4, p601-629. 29p. |
| Subjects: | XML (Extensible Markup Language), Information storage & retrieval systems, Document markup languages, Databases, QUERY (Information retrieval system), Computer systems |
| Geographic Terms: | China |
| Abstract: | In this paper we evaluate the application of data fusion or meta-search methods, combining different algorithms and XML elements, to content-oriented retrieval of XML structured data. The primary approach is the combination of a probabilistic methods using Logistic regression and the Okapi BM-25 algorithm for estimation of document relevance or XML element relevance, in conjunction with Boolean approaches for some query elements. In the evaluation we use the INEX XML test collection to examine the relative performance of individual algorithms and elements and compare these to the performance of the data fusion approaches. [ABSTRACT FROM AUTHOR] |
| Copyright of Information Retrieval Journal is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 17224707 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Fusion Approach to XML Structured Document Retrieval. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Larson%2C+Ray+R%2E%22">Larson, Ray R.</searchLink><relatesTo>1</relatesTo><i> ray@sims.berkeley.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Information+Retrieval+Journal%22">Information Retrieval Journal</searchLink>. Dec2005, Vol. 8 Issue 4, p601-629. 29p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22XML+%28Extensible+Markup+Language%29%22">XML (Extensible Markup Language)</searchLink><br /><searchLink fieldCode="DE" term="%22Information+storage+%26+retrieval+systems%22">Information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Document+markup+languages%22">Document markup languages</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22QUERY+%28Information+retrieval+system%29%22">QUERY (Information retrieval system)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this paper we evaluate the application of data fusion or meta-search methods, combining different algorithms and XML elements, to content-oriented retrieval of XML structured data. The primary approach is the combination of a probabilistic methods using Logistic regression and the Okapi BM-25 algorithm for estimation of document relevance or XML element relevance, in conjunction with Boolean approaches for some query elements. In the evaluation we use the INEX XML test collection to examine the relative performance of individual algorithms and elements and compare these to the performance of the data fusion approaches. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Information Retrieval Journal is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=17224707 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10791-005-0749-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 29 StartPage: 601 Subjects: – SubjectFull: XML (Extensible Markup Language) Type: general – SubjectFull: Information storage & retrieval systems Type: general – SubjectFull: Document markup languages Type: general – SubjectFull: Databases Type: general – SubjectFull: QUERY (Information retrieval system) Type: general – SubjectFull: Computer systems Type: general – SubjectFull: China Type: general Titles: – TitleFull: A Fusion Approach to XML Structured Document Retrieval. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Larson, Ray R. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2005 Type: published Y: 2005 Identifiers: – Type: issn-print Value: 13864564 Numbering: – Type: volume Value: 8 – Type: issue Value: 4 Titles: – TitleFull: Information Retrieval Journal Type: main |
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