OntHoS — an Ontology for Hospital Scenarios

The goal of this paper is to present an ontology for hospital scenarios (called OntHoS). It was developed by a couple of research projects dealing with the application of agent systems in hospital scenarios. The aim of OntHoS is to establish a basis for a description of these scenarios and to facilitate their inter-operability. Therefore, we classify types of ontologies and approaches to ontology design, we focus on constructing a domain ontology and discuss the proceeding as well as the encountered problems. Finally, an overview about the future work is given, focussing especially on opening the scope to task ontologies for special project-specific purposes

[1]  Barry Smith,et al.  Philosophy and the Cognitive Sciences , 1994 .

[2]  Nicola Guarino,et al.  Ontologies and Knowledge Bases. Towards a Terminological Clarification , 1995 .

[3]  Nicola Guarino.  UNDERSTANDING, BUILDING, AND USING ONTOLOGIES , 1997 .

[4]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993 .

[5]  Stefan Decker,et al.  Creating Semantic Web Contents with Protégé-2000 , 2001, IEEE Intell. Syst..

[6]  Nicolaas J. I. Mars,et al.  Towards very large knowledge bases, knowledge building and knowledge sharing 1995 , 1995 .

[7]  Donald Ervin Knuth,et al.  The Art of Computer Programming, Volume II: Seminumerical Algorithms , 1970 .

[8]  Nicola Guarino,et al.  The Ontological Level , 1994 .

[9]  Mark A. Musen,et al.  The Knowledge Model of Protégé-2000: Combining Interoperability and Flexibility , 2000, EKAW.

[10]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[11]  Henrik Eriksson,et al.  Knowledge modeling at the millennium : The design and evolution of Protégé-2000 , 1999 .

[12]  Vladan Devedzic.  Ontologies: borrowing from software patterns , 1999, INTL.

[13]  Donald E. Knuth,et al.  The art of computer programming. Vol.2: Seminumerical algorithms , 1981 .

[14]  Daniel G. Bobrow,et al.  Making ontologies work for resolving redundancies across documents , 2002, CACM.

[15]  Franziska Klügl-Frohnmeyer,et al.  From Simulated to Real Environments: How to Use SeSAm for Software Development , 2003, MATES.

[16]  B. McCarl,et al.  Economics , 1870, The Indian medical gazette.

[17]  Frank Puppe,et al.  XPS-99: Knowledge-Based Systems. Survey and Future Directions , 1999, Lecture Notes in Computer Science.

[18]  Michael Gruninger,et al.  ONTOLOGY Applications and Design , 2002 .

[19]  Richard Fikes,et al.  Tools for Assembling Modular Ontologies in Ontolingua , 1997, AAAI/IAAI.

[20]  Nicola Guarino,et al.  Evaluating ontological decisions with OntoClean , 2002, CACM.

[21]  K. D. Joshi,et al.  A collaborative approach to ontology design , 2002, CACM.

[22]  Rudi Studer,et al.  Knowledge Engineering: Survey and Future Directions , 1999, XPS.

[23]  Natalya F. Noy,et al.  Component-Based Support for Building Knowledge-Acquisition Systems , 2000 .

[24]  Henry M. Kim,et al.  Predicting how ontologies for the semantic web will evolve , 2002, CACM.