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Cross-lingual thesaurus for multilingual knowledge management

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Title: Cross-lingual thesaurus for multilingual knowledge management
Authors: Yang, Christopher C.1 yang@se.cuhk.edu.hk, Wei, Chih-Ping2, Li, K.W.3
Source: Decision Support Systems. Jun2008, Vol. 45 Issue 3, p596-605. 10p.
Subjects: Cross-language information retrieval, Multilingual thesauri, Knowledge management digital resources, Information sharing, Interorganizational relations, Management information systems, Information storage & retrieval systems, Information retrieval software
Abstract: The Web is a universal repository of human knowledge and culture which has allowed unprecedented sharing of ideas and information in a scale never seen before. It can also be considered as a universal digital library interconnecting digital libraries in multiple domains and languages. Beside the advance of information technology, the global economy has also accelerated the development of inter-organizational information systems. Managing knowledge obtained in multilingual information systems from multiple geographical regions is an essential component in the contemporary inter-organization information systems. An organization cannot claim itself to be a global organization unless it is capable to overcome the cultural and language barriers in their knowledge management. Cross-lingual semantic interoperability is a challenge in multilingual knowledge management systems. Dictionary is a tool that is widely utilized in commercial systems to cross the language barrier. However, terms available in dictionary are always limited. As language is evolving, there are new words being created from time to time. For examples, there are new technical terms and name entities such as RFID and Baidu. To solve the problem of cross-lingual semantic interoperability, an associative constraint network approach is investigated to construct an automatic cross-lingual thesaurus. In this work, we have investigated the backmarking algorithm and the forward evaluation algorithm to resolve the constraint satisfaction problem represented by the associative constraint network. Experiments have been conducted and show that the forward evaluation algorithm outperforms the backmarking one in terms of precision and recall but the backmarking algorithm is more efficient than the forward evaluation algorithm. We have also benchmarked with our earlier technique, Hopfield network, and showed that the associate constraint network (either backmarking or forward evaluation) outperforms in precision, recall, and efficiency. [Copyright &y& Elsevier]
Copyright of Decision Support Systems is the property of Elsevier B.V. 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
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DbLabel: Engineering Source
An: 32638576
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PubType: Academic Journal
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  Data: Cross-lingual thesaurus for multilingual knowledge management
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  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Christopher+C%2E%22">Yang, Christopher C.</searchLink><relatesTo>1</relatesTo><i> yang@se.cuhk.edu.hk</i><br /><searchLink fieldCode="AR" term="%22Wei%2C+Chih-Ping%22">Wei, Chih-Ping</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+K%2EW%2E%22">Li, K.W.</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Decision+Support+Systems%22">Decision Support Systems</searchLink>. Jun2008, Vol. 45 Issue 3, p596-605. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Cross-language+information+retrieval%22">Cross-language information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Multilingual+thesauri%22">Multilingual thesauri</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+management+digital+resources%22">Knowledge management digital resources</searchLink><br /><searchLink fieldCode="DE" term="%22Information+sharing%22">Information sharing</searchLink><br /><searchLink fieldCode="DE" term="%22Interorganizational+relations%22">Interorganizational relations</searchLink><br /><searchLink fieldCode="DE" term="%22Management+information+systems%22">Management information systems</searchLink><br /><searchLink fieldCode="DE" term="%22Information+storage+%26+retrieval+systems%22">Information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval+software%22">Information retrieval software</searchLink>
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  Data: The Web is a universal repository of human knowledge and culture which has allowed unprecedented sharing of ideas and information in a scale never seen before. It can also be considered as a universal digital library interconnecting digital libraries in multiple domains and languages. Beside the advance of information technology, the global economy has also accelerated the development of inter-organizational information systems. Managing knowledge obtained in multilingual information systems from multiple geographical regions is an essential component in the contemporary inter-organization information systems. An organization cannot claim itself to be a global organization unless it is capable to overcome the cultural and language barriers in their knowledge management. Cross-lingual semantic interoperability is a challenge in multilingual knowledge management systems. Dictionary is a tool that is widely utilized in commercial systems to cross the language barrier. However, terms available in dictionary are always limited. As language is evolving, there are new words being created from time to time. For examples, there are new technical terms and name entities such as RFID and Baidu. To solve the problem of cross-lingual semantic interoperability, an associative constraint network approach is investigated to construct an automatic cross-lingual thesaurus. In this work, we have investigated the backmarking algorithm and the forward evaluation algorithm to resolve the constraint satisfaction problem represented by the associative constraint network. Experiments have been conducted and show that the forward evaluation algorithm outperforms the backmarking one in terms of precision and recall but the backmarking algorithm is more efficient than the forward evaluation algorithm. We have also benchmarked with our earlier technique, Hopfield network, and showed that the associate constraint network (either backmarking or forward evaluation) outperforms in precision, recall, and efficiency. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Decision Support Systems is the property of Elsevier B.V. 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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        Value: 10.1016/j.dss.2007.07.005
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        Text: English
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        Type: general
      – SubjectFull: Multilingual thesauri
        Type: general
      – SubjectFull: Knowledge management digital resources
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      – SubjectFull: Information sharing
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      – SubjectFull: Interorganizational relations
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      – SubjectFull: Management information systems
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      – SubjectFull: Information storage & retrieval systems
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      – SubjectFull: Information retrieval software
        Type: general
    Titles:
      – TitleFull: Cross-lingual thesaurus for multilingual knowledge management
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            NameFull: Yang, Christopher C.
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            NameFull: Wei, Chih-Ping
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            NameFull: Li, K.W.
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              M: 06
              Text: Jun2008
              Type: published
              Y: 2008
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