Abstract
In order for ontology-based applications to be deployed in real-life scenarios, significant volumes of data are required to populate the underlying models. Populating ontologies manually is a time-consuming and error-prone task and, thus, research has shifted its attention to automatic ontology population methodologies. However, the majority of the proposed approaches and tools focus on analysing natural language text and often neglect other more appropriate sources of information, such as the already structured and semantically rich sets of Linked Data. The paper presents PROPheT, a novel ontology population tool for retrieving instances from Linked Data sources and subsequently inserting them into an OWL ontology. The tool, to the best of our knowledge, offers entirely novel ontology population functionality to a great extent and has already been positively received according to user evaluation.
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Notes
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The tool has been developed in the context of the PERICLES FP7 project: http://www.pericles-project.eu/.
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List of SPARQL endpoints available at https://www.w3.org/wiki/SparqlEndpoints.
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dbo is the prefix for a specific DBpedia URI, that is http://dbpedia.org/ontology/.
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The search process offers options such as Exact match, Contains term and case sensitivity.
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The exact entry in LinkedMDB is http://data.linkedmdb.org/resource/film/43338.
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Name of instance was retrieved from instance of “The Godfather” movie in LinkedMDB.
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Acknowledgments
This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 601138.
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Mitzias, P. et al. (2016). User-Driven Ontology Population from Linked Data Sources. In: Ngonga Ngomo, AC., Křemen, P. (eds) Knowledge Engineering and Semantic Web. KESW 2016. Communications in Computer and Information Science, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-319-45880-9_3
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