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A Multi-Matching Technique for Combining Similarity Measures in Ontology Integration Ahmed Khalifa Aloud A Thesis In the department of Computer Science and Software Engineering Presented in Partial
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Users who are involved in ontology integration and need to combine similarity measures can benefit from a multi-matching technique. This technique helps in efficiently aligning and integrating different ontologies by considering multiple similarity measures. It allows users to compare and match entities across ontologies based on various similarity criteria, enhancing the accuracy and effectiveness of ontology integration processes. Users from domains like information retrieval, data integration, knowledge engineering, and semantic web applications can find this technique valuable in their work.
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The multi-matching technique is a method used to combine similarity measures in ontology integration.
Users in the ENCS department are required to file this document.
The document should be filled out following the specific guidelines provided by the ENCS department.
The purpose of the document is to integrate and combine similarity measures in ontologies.
The document must include details on similarity measures used and their combination techniques.
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