2002 ModelingOntologiesForRoboticEnvironments

• (Chella & al, 2002) ⇒ Antonio Chella, Massimo Cossentino, Roberto Pirrone, Andrea Ruisi. (2002). "Modeling Ontologies for Robotic Environments." In: Proceedings of the 14th International Conference on Software Engineering and Knowledge Engineering (SEKE 2002). doi:10.1145/568760.568775

Subject Headings: Ontology, Robotics.

Quotes

• Keywords: Multi Agent Systems, Ontologies, Robotics.

Abstract

• On the basis of a multiple abstraction levels specification process, we developed a representational model for environmental robotic knowledge through the definition of a set of ontologies using a multi perspective approach. A general ontological model for typical indoor environments has been first developed, followed by its specialization using an implementation perspective. Actual software implementation of the ontology has been obtained via a XML-based markup language, used to build a repository for robotic environmental knowledge.

1. Introduction

• An ontology can be defined as a formally specified model of bodies of knowledge defining the concepts used to describe a domain and the relations that hold between them [4]. In the context of Artificial Intelligence, an ontology deals with what categories of real entities can be identified and how they are related. Knowledge-based system refer to entities and relations in the real world; to build such systems, a well-formalized global ontology is needed to specify what kinds of things exist, what their general properties are, and the interactions among them.

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