Results 221 to 230 of about 4,902,245 (262)

Semantic Data Selections and Mining in Decision Tables

2011
This article concerns the integration of selected concepts and methods, which are characteristic for rough sets, with techniques used in relational databases. The aim is to improve the efficiency in the realization of complex computational operations. In this paper we have presented implementations of algorithms of core attributes selection, the method
Krzysztof Czajkowski, Mieczyslaw Drabowski   +1 more
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A Tool for Reducing Implementation Defects for Requirements based on Large Decision Tables Towards a Semantic Gap Reduction

2020 8th International Conference in Software Engineering Research and Innovation (CONISOFT), 2020
The growth and complexity of Information Systems demands tools and methodologies aiming to reduce the time for development as well as to improve the quality of such systems. The use of business rules to model the behavior of information systems is an adopted technique in software engineering.
Ricardo Tlamatini Olvera Ochoa, Gerardo Padilla Zarate   +1 more
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Adding Semantics to Decision Tables

2011
The study of decision tables has been investigated for more than fifty years. Research interests range largely from programming to control systems, robotics, database, and so forth. Modern ontology technologies provide a promising solution to the decision support reasoning and collaborative decision support. This article proposes a new approach to data
Tang, Yan, Meersman, Robert, Vanthienen, Jan   +2 more
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Towards Directly Applied Ontological Constraints in a Semantic Decision Table

2011
Decision tables have been a powerful tool for business people since a long time ago. A semantic decision table (SDT) is a decision table properly annotated with domain ontologies. It contains a set of formal agreements called commitments, which is a result from group decision making processes involving a community of business stakeholders.
Tang, Yan, Meersman, Robert
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A self-configuring semantic decision table For parameterizing an ontology-based data matching strategy

2011 FIFTH INTERNATIONAL CONFERENCE ON RESEARCH CHALLENGES IN INFORMATION SCIENCE, 2011
a semantic decision table (SDT), which is a decision table annotated with an ontology (or ontologies), is a means to ensure the completeness and correctness of a decision table. It can be used to store the parameters of a matching strategy. In principle, SDTs can be used to configure any kinds of strategies, functions or algorithm.
Yan Tang, Robert Meersman, Jan Demey
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Towards freely and correctly adjusted Dijkstra's algorithm with semantic decision tables for ontology based data matching

2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), 2010
Researches on ontology based data matching have been recently explored. In this paper, we will focus on how to adapt Dijkstra's algorithm for matching two data sets and how to freely adjust the parameters of Dijkstra's algorithm by the end users. A novel approach of using semantic decision tables for the adjustment will be presented and discussed. This
Tang, Yan, Zhao, Gang, De Baer, Peter, Meersman, Robert   +3 more
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On Conducting a Decision Group to Construct Semantic Decision Tables

2007
Semantic Decision Table (SDT) was introduced to support collaborative decision making. Semantics, a group of decision makers, mutual understanding and collaborative environment(s) are at the heart of SDT. In practice, it is rather difficult to construct SDT within a decision group.
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Towards Using Semantic Decision Tables for Organizing Data Semantics

2010
In the ITEA2 Do-It-Yourself Smart Experiences project (DIY-SE), we are required to design an ontology-based ambient computing environment to support users to DIY their personalized solutions. In this paper, we illustrate how to manage data semantics using Semantic Decision Table (SDT).
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Directly Applied ORM Constraints for Validating and Verifying Semantic Decision Tables

2011
A semantic decision table (SDT) is a decision table properly annotated with domain ontologies. In this paper, we focus on validation and verification issues (V&V) for SDT. We use Semantic Decision Rule Language (SDRule-L), which is an extension to the Object-Role Modeling language (ORM/ORM2) for modeling SDT commitments.
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Towards Group Decision Making via Semantic Decision Tables and Blackboards.

2013
Information infrastructures become increasingly decentralized. In these environments, coming up with coherent collective decision systems is difficult, especially in environments where central authorities are lacking. In this paper, we explore the idea of using artifacts called Blackboards for Decision Tables to support collaborative and incremental ...
Vasquez Paulus, Cristian Guillermo, Tang, Yan   +1 more
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