Matching XML documents at structural and conceptual level using subtree patterns
Knowledge matching is an important problem for many emerging applications in many areas including scientific knowledge management, ontology matching, e-commerce, and enterprise application integration. Matching the concepts of heterogeneous knowledge representations is very challenging due to the di...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Book Chapter |
| Published: |
IGI Global
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/28069 |
| _version_ | 1848752436522516480 |
|---|---|
| author | Pan, Qi Hua Hadzic, Fedja Dillon, Tharam |
| author2 | Andrea Tagarelli |
| author_facet | Andrea Tagarelli Pan, Qi Hua Hadzic, Fedja Dillon, Tharam |
| author_sort | Pan, Qi Hua |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Knowledge matching is an important problem for many emerging applications in many areas including scientific knowledge management, ontology matching, e-commerce, and enterprise application integration. Matching the concepts of heterogeneous knowledge representations is very challenging due to the difficulty of taking contextual information into account and detecting complex matches. In this chapter, we describe a knowledge matching approach that uses subtree patterns to utilize structural information for matching at the conceptual and structural level. Initially, the algorithm does not take any syntactic information into account, but rather forms candidate mappings according to their structural/contextual relationships in the knowledge structures, which are then validated using online dictionaries and string similarity measures. The approach will then automatically extract the knowledge structure that is shared among all the matched knowledge representations. Experimental evaluation is performed on a number of real world XML schemas, which demonstrates the effectiveness of the proposed approach. |
| first_indexed | 2025-11-14T08:08:36Z |
| format | Book Chapter |
| id | curtin-20.500.11937-28069 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:08:36Z |
| publishDate | 2011 |
| publisher | IGI Global |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-280692017-01-30T13:02:56Z Matching XML documents at structural and conceptual level using subtree patterns Pan, Qi Hua Hadzic, Fedja Dillon, Tharam Andrea Tagarelli Knowledge matching is an important problem for many emerging applications in many areas including scientific knowledge management, ontology matching, e-commerce, and enterprise application integration. Matching the concepts of heterogeneous knowledge representations is very challenging due to the difficulty of taking contextual information into account and detecting complex matches. In this chapter, we describe a knowledge matching approach that uses subtree patterns to utilize structural information for matching at the conceptual and structural level. Initially, the algorithm does not take any syntactic information into account, but rather forms candidate mappings according to their structural/contextual relationships in the knowledge structures, which are then validated using online dictionaries and string similarity measures. The approach will then automatically extract the knowledge structure that is shared among all the matched knowledge representations. Experimental evaluation is performed on a number of real world XML schemas, which demonstrates the effectiveness of the proposed approach. 2011 Book Chapter http://hdl.handle.net/20.500.11937/28069 IGI Global restricted |
| spellingShingle | Pan, Qi Hua Hadzic, Fedja Dillon, Tharam Matching XML documents at structural and conceptual level using subtree patterns |
| title | Matching XML documents at structural and conceptual level using subtree patterns |
| title_full | Matching XML documents at structural and conceptual level using subtree patterns |
| title_fullStr | Matching XML documents at structural and conceptual level using subtree patterns |
| title_full_unstemmed | Matching XML documents at structural and conceptual level using subtree patterns |
| title_short | Matching XML documents at structural and conceptual level using subtree patterns |
| title_sort | matching xml documents at structural and conceptual level using subtree patterns |
| url | http://hdl.handle.net/20.500.11937/28069 |