Finding the right term: Retrieving and exploring semantic concepts in astronomical vocabularies
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| Title: | Finding the right term: Retrieving and exploring semantic concepts in astronomical vocabularies |
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| Authors: | Gray, Alasdair J.G.1 agray@dcs.gla.ac.uk, Gray, Norman2 norman@astro.gla.ac.uk, Hall, Christopher W.1, Ounis, Iadh1 ounis@dcs.gla.ac.uk |
| Source: | Information Processing & Management. Jul2010, Vol. 46 Issue 4, p470-478. 9p. |
| Subjects: | Information retrieval, Tags (Metadata), Astronomy, Vocabulary, Semantic Web, Terms & phrases, QUERY (Information retrieval system), Semantics, Web search engines |
| Abstract: | Abstract: Astronomy, like many domains, already has several sets of terminology in general use, referred to as controlled vocabularies. For example, the keywords for tagging journal articles, or the taxonomy of terms used to label image files. These existing vocabularies can be encoded into skos, a W3C proposed recommendation for representing vocabularies on the Semantic Web, so that computer systems can help users to search for and discover resources tagged with vocabulary concepts. However, this requires a search mechanism to go from a user-supplied string to a vocabulary concept. In this paper, we present our experiences in implementing the Vocabulary Explorer, a vocabulary search service based on the Terrier Information Retrieval Platform. We investigate the capabilities of existing document weighting models for identifying the correct vocabulary concept for a query. Due to the highly structured nature of a skos encoded vocabulary, we investigate the effects of term weighting (boosting the score of concepts that match on particular fields of a vocabulary concept), and query expansion. We found that the existing document weighting models provided very high quality results, but these could be improved further with the use of term weighting that makes use of the semantic evidence. [Copyright &y& Elsevier] |
| Copyright of Information Processing & Management is the property of Pergamon Press - An Imprint of Elsevier Science 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: 51296036 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Finding the right term: Retrieving and exploring semantic concepts in astronomical vocabularies – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gray%2C+Alasdair+J%2EG%2E%22">Gray, Alasdair J.G.</searchLink><relatesTo>1</relatesTo><i> agray@dcs.gla.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Gray%2C+Norman%22">Gray, Norman</searchLink><relatesTo>2</relatesTo><i> norman@astro.gla.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Hall%2C+Christopher+W%2E%22">Hall, Christopher W.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ounis%2C+Iadh%22">Ounis, Iadh</searchLink><relatesTo>1</relatesTo><i> ounis@dcs.gla.ac.uk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Information+Processing+%26+Management%22">Information Processing & Management</searchLink>. Jul2010, Vol. 46 Issue 4, p470-478. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Tags+%28Metadata%29%22">Tags (Metadata)</searchLink><br /><searchLink fieldCode="DE" term="%22Astronomy%22">Astronomy</searchLink><br /><searchLink fieldCode="DE" term="%22Vocabulary%22">Vocabulary</searchLink><br /><searchLink fieldCode="DE" term="%22Semantic+Web%22">Semantic Web</searchLink><br /><searchLink fieldCode="DE" term="%22Terms+%26+phrases%22">Terms & phrases</searchLink><br /><searchLink fieldCode="DE" term="%22QUERY+%28Information+retrieval+system%29%22">QUERY (Information retrieval system)</searchLink><br /><searchLink fieldCode="DE" term="%22Semantics%22">Semantics</searchLink><br /><searchLink fieldCode="DE" term="%22Web+search+engines%22">Web search engines</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: Astronomy, like many domains, already has several sets of terminology in general use, referred to as controlled vocabularies. For example, the keywords for tagging journal articles, or the taxonomy of terms used to label image files. These existing vocabularies can be encoded into skos, a W3C proposed recommendation for representing vocabularies on the Semantic Web, so that computer systems can help users to search for and discover resources tagged with vocabulary concepts. However, this requires a search mechanism to go from a user-supplied string to a vocabulary concept. In this paper, we present our experiences in implementing the Vocabulary Explorer, a vocabulary search service based on the Terrier Information Retrieval Platform. We investigate the capabilities of existing document weighting models for identifying the correct vocabulary concept for a query. Due to the highly structured nature of a skos encoded vocabulary, we investigate the effects of term weighting (boosting the score of concepts that match on particular fields of a vocabulary concept), and query expansion. We found that the existing document weighting models provided very high quality results, but these could be improved further with the use of term weighting that makes use of the semantic evidence. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Information Processing & Management is the property of Pergamon Press - An Imprint of Elsevier Science 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.ipm.2009.09.004 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 470 Subjects: – SubjectFull: Information retrieval Type: general – SubjectFull: Tags (Metadata) Type: general – SubjectFull: Astronomy Type: general – SubjectFull: Vocabulary Type: general – SubjectFull: Semantic Web Type: general – SubjectFull: Terms & phrases Type: general – SubjectFull: QUERY (Information retrieval system) Type: general – SubjectFull: Semantics Type: general – SubjectFull: Web search engines Type: general Titles: – TitleFull: Finding the right term: Retrieving and exploring semantic concepts in astronomical vocabularies Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gray, Alasdair J.G. – PersonEntity: Name: NameFull: Gray, Norman – PersonEntity: Name: NameFull: Hall, Christopher W. – PersonEntity: Name: NameFull: Ounis, Iadh IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 03064573 Numbering: – Type: volume Value: 46 – Type: issue Value: 4 Titles: – TitleFull: Information Processing & Management Type: main |
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