Tree mining application to matching of hetereogeneous knowledge
Matching of heterogeneous knowledge sources is of increasing importance in areas such as scientific knowledge management, e-commerce, enterprise application integration, and many emerging Semantic Web applications. With the desire of knowledge sharing and reuse in these fields, it is common that the...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
IEEE Computer Society
2007
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| Online Access: | http://doi.ieeecomputersociety.org/10.1109/GRC.2007.158 http://hdl.handle.net/20.500.11937/12500 |
| _version_ | 1848748093387833344 |
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| author | Hadzic, Fedja Dillon, Tharam S. Chang, Elizabeth |
| author_facet | Hadzic, Fedja Dillon, Tharam S. Chang, Elizabeth |
| author_sort | Hadzic, Fedja |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Matching of heterogeneous knowledge sources is of increasing importance in areas such as scientific knowledge management, e-commerce, enterprise application integration, and many emerging Semantic Web applications. With the desire of knowledge sharing and reuse in these fields, it is common that the knowledge coming from different organizations from the same domain is to be matched. We propose a knowledge matching method based on our previously developed tree mining algorithms for extracting frequently occurring subtrees from a tree structured database such as XML. Using the method the common structure among the different representations can be automatically extracted. Our focus is on knowledge matching at the structural level and we use a set of example XML schema documents from the same domain to evaluate the method. We discuss some important issues that arise when applying tree mining algorithms for detection of common document structures. The experiments demonstrate the usefulness of the approach. |
| first_indexed | 2025-11-14T06:59:34Z |
| format | Conference Paper |
| id | curtin-20.500.11937-12500 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:59:34Z |
| publishDate | 2007 |
| publisher | IEEE Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-125002019-02-19T05:34:47Z Tree mining application to matching of hetereogeneous knowledge Hadzic, Fedja Dillon, Tharam S. Chang, Elizabeth Matching of heterogeneous knowledge sources is of increasing importance in areas such as scientific knowledge management, e-commerce, enterprise application integration, and many emerging Semantic Web applications. With the desire of knowledge sharing and reuse in these fields, it is common that the knowledge coming from different organizations from the same domain is to be matched. We propose a knowledge matching method based on our previously developed tree mining algorithms for extracting frequently occurring subtrees from a tree structured database such as XML. Using the method the common structure among the different representations can be automatically extracted. Our focus is on knowledge matching at the structural level and we use a set of example XML schema documents from the same domain to evaluate the method. We discuss some important issues that arise when applying tree mining algorithms for detection of common document structures. The experiments demonstrate the usefulness of the approach. 2007 Conference Paper http://hdl.handle.net/20.500.11937/12500 10.1109/GRC.2007.158 http://doi.ieeecomputersociety.org/10.1109/GRC.2007.158 IEEE Computer Society fulltext |
| spellingShingle | Hadzic, Fedja Dillon, Tharam S. Chang, Elizabeth Tree mining application to matching of hetereogeneous knowledge |
| title | Tree mining application to matching of hetereogeneous knowledge |
| title_full | Tree mining application to matching of hetereogeneous knowledge |
| title_fullStr | Tree mining application to matching of hetereogeneous knowledge |
| title_full_unstemmed | Tree mining application to matching of hetereogeneous knowledge |
| title_short | Tree mining application to matching of hetereogeneous knowledge |
| title_sort | tree mining application to matching of hetereogeneous knowledge |
| url | http://doi.ieeecomputersociety.org/10.1109/GRC.2007.158 http://hdl.handle.net/20.500.11937/12500 |