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Abstract
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| We describe an approach to ?nd similarities between RDF datasets, which may be applicable to tasks such as link discovery, dataset summarization or dataset understanding. Our approach builds on the assumption that similar datasets should have a similar structure and include semantically similar resources and relationships. It is based on the combination of Frequent Subgraph Mining (FSM) techniques, used to synthesize the datasets and ?nd similarities among them. The result of this work can be applied for easing the task of data interlinking and for promoting data reusing in the Semantic Web | |
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International
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Si |
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Congress
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4th Workshop on Intelligent Exploration of Semantic Data (IESD 2015) at ISWC2015 |
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960 |
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Place
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Bethlehem, Estados Unidos |
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Reviewers
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Si |
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ISBN/ISSN
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CDP08UPM |
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Start Date
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12/10/2015 |
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End Date
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12/10/2015 |
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From page
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1 |
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To page
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13 |
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Proceedings of the 4th International Workshop on Intelligent Exploration of Semantic Data (IESD 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015) CEUR-Vol XXX |