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
An ontology engineering methodology for DOGMA
Applied Ontology - Ontological Foundations of Conceptual Modelling
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
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
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Meaning evolution support systems (MESSs) have been recently introduced as a real time, scalable, community-based cooperative systems to support the ontology evolution. In this paper, we intend to address the problems of accuracy and effectiveness by using Semantic Decision Tables (SDTs). A SDT 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 'MESS') are developed at VUB STARLab as a collection of MESS. We embed SDTs in DOGMA-MESS to illustrate our approach. SDTs play the roles in both top-down and bottom-up processes 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.