Onto-IKEA: A Knowledge Retrieval Framework based on IKEA Ontology Alexandros Vassiliades 1,2 , Nikos Zarkadas 1 , Nick Bassiliades 1 and Theodore Patkos 2 1 Aristotle University of Thessaloniki, School of Informatics, Thessaloniki, Greece 2 Foundation for Research and Technology, Institute of Computer Science, Heraklion, Greece 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 Artifcial Intelligence (AI) applications can access domain specifc 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. Keywords Knowledge Retrieval, Ontology, Object Feature 1. Introduction The evolution of LOD in the last twenty years allowed developers to construct context related ontologies (i.e., ontologies that can be used only in specifc environments, such as a household). The creation of context related ontologies seems to be the next step for allowing LOD to become the main knowledge representation mechanism for the Web. Our focus is on context related product ontologies, with features for the products (i.e., characteristics for the products). The idea of product ontologies has been given great attention recently and even generic techniques on how to create a product ontology were developed [1, 2]. This paper presents an ontology which was developed from a dataset that contains the information of the IKEA Greece website 1 . We present how we have collected the information from the IKEA website, how we have translated the information in a LOD format, and how we have developed a knowledge retrieval query interface to access the information in the ontology. Therefore, the issue we want to address is to provide a dataset and an ontology about real life FOIS 2021 Ontology Showcase, held at FOIS 2021 - 12th International Conference on Formal Ontology in Information Systems, September 13-17, 2021, Bolzano, Italy  valexande@csd.auth.gr (A. Vassiliades); nikozark@csd.auth.gr (N. Zarkadas); nbassili@csd.auth.gr (N. Bassiliades); patkos@ics.forth.gr (T. Patkos)  https://intelligence.csd.auth.gr/people/vassiliades-alexandros/ (A. Vassiliades); https://intelligence.csd.auth.gr/people/bassiliades/ (N. Bassiliades); https://www.csd.uoc.gr/~patkos/ (T. Patkos) © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings http://ceur-ws.org ISSN 1613-0073 CEUR Workshop Proceedings (CEUR-WS.org) 1 https://www.ikea.gr