Converting a controlled vocabulary into an ontology: the case of GEM
The prevelance of digital information raised issues regarding the suitability of conventional library tools for organizing information. The multi-dimensionality of digital resources requires a more versatile and flexible representation to accommodate intelligent information representation and retrie...
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| Format: | Article |
| Language: | English |
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University of Borås
2001-01-01
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| Series: | Information Research: An International Electronic Journal |
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| Online Access: | http://informationr.net/ir/6-2/paper94.html |
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| _version_ | 1832573981808394240 |
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| author | Jian Qin Stephen Paling |
| author_facet | Jian Qin Stephen Paling |
| author_sort | Jian Qin |
| collection | DOAJ |
| description | The prevelance of digital information raised issues regarding the suitability of conventional library tools for organizing information. The multi-dimensionality of digital resources requires a more versatile and flexible representation to accommodate intelligent information representation and retrieval. Ontologies are used as a solution to such issues in many application domains, mainly due to their ability to explicitly specify the semantics and relations and to express them in a computer understandable language. Conventional knowledge organization tools such as classifications and thesauri resemble ontologies in a way that they define concepts and relationships in a systematic manner, but they are less expressive than ontologies when it comes to machine language. This paper used the controlled vocabulary at the Gateway to Educational Materials (GEM) as an example to address the issues in representing digital resouces. The theoretical and methodological framework in this paper serves as the rationale and guideline for converting the GEM controlled vocabulary into an ontology. Compared to the original semantic model of GEM controlled vocabulary, the major difference between the two models lies in the values added through deeper semantics in describing digital objects, both conceptually and relationally. |
| format | Article |
| id | doaj-art-8af4fb7f311040fb987cb92925d7f49e |
| institution | Kabale University |
| issn | 1368-1613 |
| language | English |
| publishDate | 2001-01-01 |
| publisher | University of Borås |
| record_format | Article |
| series | Information Research: An International Electronic Journal |
| spelling | doaj-art-8af4fb7f311040fb987cb92925d7f49e2025-02-02T01:42:31ZengUniversity of BoråsInformation Research: An International Electronic Journal1368-16132001-01-016294Converting a controlled vocabulary into an ontology: the case of GEMJian QinStephen PalingThe prevelance of digital information raised issues regarding the suitability of conventional library tools for organizing information. The multi-dimensionality of digital resources requires a more versatile and flexible representation to accommodate intelligent information representation and retrieval. Ontologies are used as a solution to such issues in many application domains, mainly due to their ability to explicitly specify the semantics and relations and to express them in a computer understandable language. Conventional knowledge organization tools such as classifications and thesauri resemble ontologies in a way that they define concepts and relationships in a systematic manner, but they are less expressive than ontologies when it comes to machine language. This paper used the controlled vocabulary at the Gateway to Educational Materials (GEM) as an example to address the issues in representing digital resouces. The theoretical and methodological framework in this paper serves as the rationale and guideline for converting the GEM controlled vocabulary into an ontology. Compared to the original semantic model of GEM controlled vocabulary, the major difference between the two models lies in the values added through deeper semantics in describing digital objects, both conceptually and relationally.http://informationr.net/ir/6-2/paper94.htmldigital informationretrievalontologiesontologysemanticsrelationshipsclassificationthesaurithesauruscontrolled vocabularyGateway to Educational MaterialsGEMsemantic model |
| spellingShingle | Jian Qin Stephen Paling Converting a controlled vocabulary into an ontology: the case of GEM Information Research: An International Electronic Journal digital information retrieval ontologies ontology semantics relationships classification thesauri thesaurus controlled vocabulary Gateway to Educational Materials GEM semantic model |
| title | Converting a controlled vocabulary into an ontology: the case of GEM |
| title_full | Converting a controlled vocabulary into an ontology: the case of GEM |
| title_fullStr | Converting a controlled vocabulary into an ontology: the case of GEM |
| title_full_unstemmed | Converting a controlled vocabulary into an ontology: the case of GEM |
| title_short | Converting a controlled vocabulary into an ontology: the case of GEM |
| title_sort | converting a controlled vocabulary into an ontology the case of gem |
| topic | digital information retrieval ontologies ontology semantics relationships classification thesauri thesaurus controlled vocabulary Gateway to Educational Materials GEM semantic model |
| url | http://informationr.net/ir/6-2/paper94.html |
| work_keys_str_mv | AT jianqin convertingacontrolledvocabularyintoanontologythecaseofgem AT stephenpaling convertingacontrolledvocabularyintoanontologythecaseofgem |