Abstract. Detection of synonyms in data modeling is considered as a significant problem, especially within the semantic evaluation of a conceptual data model. This paper presents an approach for synonyms detection in a system for conceptual data model semantic evaluation. It is based on automated reasoning in ontology mapping with conceptual data model with tool that formalizes ontology and conceptual data model and merges them with a set of reasoning rules. Reasoning was done with Prolog system. These rules are created for ontology-toconceptual data model mapping, as well for synonyms extraction. Examples of testing reasoning rules are also shown in the paper.Keywords: synonyms detection, conceptual data model, ontology, reasoning.
IntroductionResearch in information system design evaluation has recently received considerable attention in information technology community [1]. In the field of models in information system development [2] introduces a general metrics framework related to syntax, semantic and pragmatic aspect of a model quality evaluation. A comparative analysis and categorization of many systems analysis and design methods has been presented in [3]. Data quality research [4] is related to development of methodologies, frameworks and tools for measurement and improvement of data models and data in databases. Results in this field propose frameworks that define set of quality characteristics, metrics that could measure the level of quality characteristics achievement in particular case and the set of activities to perform in aim to perform measurement and metrics data processing.This paper presents the developed system for synonyms detection within the evaluation of conceptual data models, based on ontology mapping. In the synonyms detection, methods of the composite matching, combined with structural analysis were used.
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