Onto-IKEA: A Knowledge Retrieval Framework based on IKEA Ontology

A. Vassiliades, N. Zarkadas, N. Bassiliades, Th. Patkos, "Onto-IKEA: A Knowledge Retrieval Framework based on IKEA Ontology", Ontology Showcase at the 12th International Conference on Formal Ontology in Information Systems (FOIS 2021), Bozen-Bolzano, Italy, 13-16 Sep 2021, Proceedings of the Joint Ontology Workshops 2021 (JOWO 2021), CEUR Workshop Proceedings, Vol. 2969.

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Author(s): A. Vassiliades, N. Zarkadas, N. Bassiliades, Th. Patkos

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Appeared In: Ontology Showcase at the 12th International Conference on Formal Ontology in Information Systems (FOIS 2021), Bozen-Bolzano, Italy, 13-16 Sep 2021, Proceedings of the Joint Ontology Workshops 2021 (JOWO 2021), CEUR Workshop Proceedings, Vol. 2969.

Keywords: Knowledge Retrieval, Ontology, Object Feature

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2021, Bassiliades, Patkos, Vassiliades, Zarkadas

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.