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Descripción
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| Type inference for resources in Knowledge Graphs is a widely studied problem, for which di erent approaches have been proposed, in- cluding reasoning, statistical analysis, and the usage of the textual in- formation related to the resources. We focus on the latter, exploiting text classi?cation techniques for predicting semantic types from textual descriptions. In this paper we introduce NLP4Types, an online tool that combines di erent standard NLP techniques and classi?ers for predict types based on DBpedia abstracts, as well as to collect feedback from the users for those predictions. | |
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Internacional
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Si |
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Nombre congreso
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21st International Conference on Knowledge Engineering and Knowledge Management EKAW 2018 |
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Tipo de participación
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960 |
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Lugar del congreso
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Nancy, Francia |
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Revisores
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Si |
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ISBN o ISSN
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1613-0073 |
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DOI
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Fecha inicio congreso
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12/11/2018 |
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Fecha fin congreso
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16/11/2018 |
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Desde la página
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57 |
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Hasta la página
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60 |
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Título de las actas
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EKAW-PD 2018 Proceedings of the EKAW 2018 Posters and Demonstrations Session co-located with 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018) |