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Improving Semantic Interoperability in Health Care Through Translation and Contextualization of International Organization for Standardization 13940 (ContSys) in Estonia: Qualitative Document- and Artifact-Based Study. [PDF]

JMIR Form Res
Kankainen KJI, Metsallik J, Erm R, Piho G, Ross P.   +4 more
europepmc   +1 more source

Peptide language pragmatic analysis and two-stage hierarchical learning framework for therapeutic peptide prediction. [PDF]

BMC Biol
Yan K, Lu S, Chen S, Wang Y, Shaytan AK, Li Z, Liu B.   +6 more
europepmc   +1 more source

Sentiment classification optimization based on improved Senti-BERT and BiLSTM-Attention. [PDF]

PLoS One
Zhang J, Liu J, Xu Z.
europepmc   +1 more source

Right Hemisphere Functional Connectivity Increases in Proportion to Left Hemisphere Lesion Size, but Not Within the Language Network. [PDF]

Hum Brain Mapp
Vladyko N, DeMarco AT, Turkeltaub PE.
europepmc   +1 more source

Antigone

, 1947
Anouilh, Jean
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Semantics, Analysis and Simplification of DMN Decision Tables

Information Systems, 2018
Abstract The Decision Model and Notation (DMN) is a standard notation to capture decision logic in business applications. A central construct in DMN is that of a decision table. The increasing use of DMN decision tables to capture critical business knowledge raises the need to support analysis and refactoring tasks on these tables.
Diego Calvanese, Marlon Dumas, Ülari Laurson, Fabrizio Maria Maggi, Marco Montali, Irene Teinemaa   +5 more
openaire   +2 more sources

Use semantic decision tables to improve meaning evolution support systems

International Journal of Autonomous and Adaptive Communications Systems, 2008
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
Tang, Yan, Meersman, Robert
openaire   +6 more sources

On Constructing Semantic Decision Tables

2007
Decision tables are a widely used knowledge management tool in the decision making process. Ambiguity and conceptual reasoning difficulties arise while designing large decision tables in a collaborative environment. We introduce the notion of Semantic Decision Table (SDT), which enhances a decision table with explicit decision semantics by annotating ...
Tang, Yan, Meersman, Robert
openaire   +2 more sources

Semantic Decision Tables: Self-organizing and Reorganizable Decision Tables

2008
A Semantic Decision Table (SDT) provides a means to captureand examinedecision makers' concepts, as well as a tool for refiningtheir decision knowledge and facilitating knowledgesharingin a scalablemanner. One challenge SDT faces is to organize decision resources represented in a tabular format based on the user's needs at different levels.
Yan Tang, Robert Meersman, Jan Vanthienen   +2 more
openaire   +3 more sources

TOWARDS BUILDING SEMANTIC DECISION TABLES WITH DOMAIN ONTOLOGIES

Challenges in Information Technology Management, 2008
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
openaire   +2 more sources