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Towards Semantic Decision Table with Domain Ontologies

2007
Decision tables are a simple yet important and powerful tool to help implement the complex logic of many domains, e.g. the business decision supporting domain. However, often the definition of concepts, variables and rules that underlie the decision table remain or become implicit.
Tang, Yan, Meersman, Robert
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On Semantic Decision Tables

2009
Researchers have been investigating the study of decision tables for more than fifty years. As an important tool to support Information System Management, decision tables have many outstanding advantages, i.e. they are easily learned, readable and understandable by non-technical people.
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From Decision Tables to Semantic Decision Tables: a Trend in Traditional Decision Support Tools for Data and Knowledge Engineering?

2010
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.
Tang, Yan   +2 more
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Rule set reduction using augmented decision table and semantic subsumption techniques: application to cholesterol guidelines.

Proceedings. Symposium on Computer Applications in Medical Care, 1993
Clinical practice guidelines must comprehensively address all logically possible situations, but this completeness may result in sizable and cumbersome rule sets. We applied rule set reduction techniques to a 576-rule set regarding recommendations for medication treatment of hypercholesterolemia.
R N, Shiffman, R A, Greenes
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Using SOIQ(D) to Formalize Semantics within one Semantic Decision Table

2012
As an extension to decision tables, Semantic Decision Tables (SDTs) are considered as a powerful tool of modeling processes in various domains. An important motivation of consuming SDTs is to easily validate a decision table during the Validation and Verification (V&V) processes. An SDT contains a set of formal agreements called commitments.
Tang, Yan, Tran, Trung Kien
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A Self-Configuring Semantic Decision Table for Monitoring an Ontology-based Data Matching Strategy

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.
Tang, Yan, Meersman, Robert
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Use Semantic Decision Table (SDT) technology and prototype in the NoKeos Emergency response Modeling (ERM) tool

2010
Purpose This report is the final document produced for the internal project between VUB STARLab and FPC. It records the output of the research tasks concerning using STARLab's Semantic Decision Table (SDT) technology within the context of FPC\'s NoKeos ERM. It can be used to assess the usefulness of SDT, identify best practices for future collaborative
Tang, Yan, Criel, Xavier
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Semantic Decision Tables - A New, Promising and Practical Way of Organizing Your Business Semantics with Existing Decision Making Tools

2010
Researchers have been investigating the study of decision tables for more than fifty years. As an important tool to support Information System Management, it is widely used by non-technical business people. The interest of decision tables has been rising steadily.
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