Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Formal ontology, conceptual analysis and knowledge representation
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Information modeling and relational databases: from conceptual analysis to logical design
Information modeling and relational databases: from conceptual analysis to logical design
Data modelling versus ontology engineering
ACM SIGMOD Record
Representing and reasoning about mappings between domain models
Eighteenth national conference on Artificial intelligence
Ontological Engineering
Preface: tutorial on ontological engineering
New Generation Computing - Quantum computing
On conducting a decision group to construct semantic decision tables
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems - Volume Part I
Organizing meaning evolution supporting systems using semantic decision tables
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Architecting ontology for scalability and versatility
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
DOGMA-MESS: a meaning evolution support system for interorganizational ontology engineering
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
On constructing semantic decision tables
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
Using SOIQ(D) to formalize semantics within a semantic decision table
RuleML'12 Proceedings of the 6th international conference on Rules on the Web: research and applications
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Meaning Evolution Support Systems have been recently introduced as a real-time, scalable, community-basedcooperative systems to support the ontology evolution. In this paper, we intend to address the problems of accuracyand effectivenessin Meaning Evolution Support Systems in general. We use Semantic Decision Tables to tackle these problems. A Semantic Decision Table separates general decision rules from the processes, bootstraps policies and template dependencies in the whole system. Recently, DOGMA-MESS ("Developing Ontology Grounded Methodology and Applications" framework based "Meaning Evolution Support Systems") is developed at VUB STARLab as a collection of meaning evolution support systems. We embed Semantic Decision Tables in DOGMA-MESS to illustrate our approach. Semantic Decision Tables play the roles in both top-downand bottom-upprocesses of the meaning evolution cycle. The decision rules that consist of templates dependency rules are mainly responsible for the top-down process execution. The bottom-up process execution relies on the ones that contain the concept lifting algorithms.