In this paper an object-centric perspective on planning domain definition is presented along with an overview of GIPO (graphical interface for planning with objects), a supporting tools environment. It is argued that the object-centric view assists the domain developer in conceptualizing the domain's structure, and we show how GIPO enables the developer to capture that conceptualization at an appropriate and matching conceptual level. GIPO is an experimental environment which provides a platform for exploring and demonstrating the range and scope of tools required to support the knowledge engineering aspects of creating and validating planning systems, both for classical pre-condition planning and hierarchical planning. GIPO embodies the objectcentric view, leading to a range of benefits typically associated with object-oriented methods in other fields of software engineering such as highly visual development methods, code reuse and efficient, reliable development.
Abstract. In this paper we present an overview of the principle components of GIPO, an environment to support knowledge acquisition for AI Planning. GIPO assists in the knowledge formulation of planning domains, and in prototyping planning problems within these domains. GIPO features mixedinitiative components such as generic type composition, an operator induction facility, and various plan animation and validation tools. We outline the basis of the main tools, and show how an engineer might use them to formulate a domain model. Throughout the paper we illustrate the formulation process using the Hiking Domain.
Ontology design is a crucial task for the Semantic Web. In the literature, methodologies have been proposed to develop ontologies, however the phase between knowledge gathering and knowledge coding remains challenging. In this paper, we propose a dynamic ontology design based on dynamic design notations for a systematic identification of the relations between domain concepts. For this purpose, we propose the use of the Unified Modeling Language (UML) and the Business Process Modeling Notation (BPMN), and the mapping of the related dynamic notations to the ontology domain. Our approach has been successfully validated in a study case of an ontology with a publication repository domain.
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