Alexandros Vassiliades, Nikos Zarkadas, Nick Bassiliades, and Theodore Patkos, "Onto-IKEA: A Knowledge Retrieval Framework based on IKEA Ontology", Twelfth International Conference on Formal Ontology in Information Systems, Bolzano, Italy

Author(s): Alexandros Vassiliades, Nikos Zarkadas, Nick Bassiliades, and Theodore Patkos

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Appeared In: Twelfth International Conference on Formal Ontology in Information Systems

Keywords: Knowledge Retrieval, Ontology, Object Feature

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Abstract: The evolution of Linked Open Data (LOD) has encouraged developers to create more and more context related ontologies. This advance is extremely important because Artificial Intelligence (AI) applications can access domain specific information that is in machine understandable format. In this paper, we present a knowledge retrieval framework which is based on our custom made IKEA ontology. The ontology is created with information from the IKEA dataset that we also created. The dataset contains information about household objects found in the IKEA website, relations between objects, and features such as dimensions, and material for the objects. Moreover, we provide a query interface that the user can use to address queries to the ontology.

See Also: The SoCoLA Project