@inproceedings{Butz2005Modelling, title = {Modelling multiagent Bayesian networks with inclusion dependencies}, author = {C.J. Butz and F. Fang}, booktitle = {Intelligent Agent Technology, IEEE/WIC/ACM International Conference on}, pages = {455- 458}, year = 2005, url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1565582}, isbn = {0-7695-2416-8}, doi = {10.1109/IAT.2005.103}, description = {Welcome to IEEE Xplore 2.0: Modelling multiagent Bayesian networks with inclusion dependencies}, abstract = {Multiagent Bayesian networks (MABNs) are a powerful new framework for uncertainty management in a distributed environment. In a MABN, a collective joint probability distribution is defined by the conditional probability tables (CPTs) supplied by the individual agents. It is assumed, however, that CPTs supplied by individual agents agree on the variable domains, an assumption that does not necessarily hold in practice. In this paper, we suggest modelling MABNs with inclusion dependencies. Our approach is more flexible, and perhaps realistic, by allowing CPTs supplied by different agents to disagree on variable domains. Our main result is that the input CPTs define a joint probability distribution if and only if certain inclusion dependencies are satisfied. Other advantages, both practical and theoretical, of modelling MABNs with inclusion dependencies are discussed.}, biburl = {http://www.bibsonomy.org/bibtex/26e94fac1d40810ad460beb2cad9706a8/wnpxrz}, keywords = {toread proj:o4p imported bn bayesian av:attached} } @article{Gasevic2004Reusing, title = {Reusing Petri Nets Through the Semantic Web}, author = {Dragan Gašević and Vladan Devedžić}, journal = {The Semantic Web: Research and Applications}, pages = {284--298}, year = 2004, url = {http://www.springerlink.com/content/d504pjtde9qtwxef}, description = {SpringerLink - Book Chapter}, abstract = {The paper presents the Petri net ontology that should enable sharing Petri nets on the Semantic Web. Previous work on formal methods for representing Petri nets mainly defines tool-specific Petri net descriptions (i.e. metamodels) or formats for Petri net model interchange (i.e. syntax). However, such efforts do not provide a suitable model description for using Petri nets on the Semantic Web. This paper uses the Petri net UML model as a starting point for implementing the Petri net ontology. The UML model is then refined using the Protégé ontology development tool and the Ontology UML profile. Resulting Petri net models are represented on the Semantic Web is using XML-based ontology representation languages, Resource Description Framework (RDF) and Web Ontology Language (OWL). We implemented a Petri net software tool as well as tools for the Petri net Semantic Web infrastructure. ER -}, biburl = {http://www.bibsonomy.org/bibtex/2180c4d7d744a2f785f5a9c4e0161f285/wnpxrz}, keywords = {petri imported net av:attached ontology owl read semanticweb} } @inproceedings{guarino-n-1995-25-a, title = {Ontologies and {K}nowledge {B}ases: {T}owards a {T}erminological {C}larification}, author = {Nicola Guarino and P. Giaretta}, booktitle = {Towards {V}ery {L}arge {K}nowledge {B}ases: {K}nowledge {B}uilding and {K}nowledge {S}haring}, editor = {N. J. I. Mars}, pages = {25-32}, publisher = {#IOS#}, year = 1995, abstract = {The word "ontology" has recently gained a good popularity within the knowledge engineering community. {H}owever, its meaning tends to remain a bit vagua, as the term is used in very different ways. {L}imiting our attention to the various proposals made in the current debate in {AI}, we isolate a number of interpretations, which in our opinion deserve a suitable clarification. {W}e elucidatethe implications of such various interpretations, arguing for the need of clear terminological choices regarding the technical use of terms like "ontology", "conceptualization" and "ontological commitment". {A}fter some comments on the use "{O}ntology" (with the capital "o") as a term which denotes a philosophical discipline, we analyse the possible confusion between an ontology intended as a particular conceptual framework at the knowledge level and an ontology intended as a concrete artifact at the symbol level, to be used for a given purpose. {A} crucial point in this clarification e�ort is the careful analysis of {G}ruber's definition of an ontology as a specification of a conceptualization.}, biburl = {http://www.bibsonomy.org/bibtex/2fcdd690b58d350cb61b107bbd18b8221/wnpxrz}, keywords = {proj:et av:attached ontology toread proj:o4p} } @inproceedings{Yang2005, title = {OntoBayes: An Ontology-Driven Uncertainty Model}, address = {Washington, DC, USA}, author = {Yi Yang and Jacques Calmet}, booktitle = {CIMCA '05: Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-1 (CIMCA-IAWTIC'06)}, pages = {457--463}, publisher = {IEEE Computer Society}, year = 2005, url = {http://portal.acm.org/citation.cfm?id=1135162}, isbn = {0-7695-2504-0-01}, description = {OntoBayes}, abstract = {This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes use of probability and dependency-annotated OWL to represent uncertain information in BN structures. These extensions enhance knowledge representation in OWL and enable agents to act under uncertainty and complex structured open environments at the same time. This paper presents the underlying principles and scratches the surface of the decision theoretic agent system design based on "OntoBayes".}, biburl = {http://www.bibsonomy.org/bibtex/2c1fb3656c61df4131bf5f9c96e2f0817/wnpxrz}, keywords = {imported proj:o4p av:attached ontobayes toread av:paper 2008-01-18} }