SeDeS 2013 - Fourth International Workshop on Semantics and Decision Making (SeDeS’13)

Decision support has been gradually evolved in both the fields of theoretical decision support studies and practical assisting tools for decision makers since 1960’s. The goal of decision support is to enhance decision processes in an accurate and efficient manner. Its application fields vary from business processes, business information management, system analysis, robotics, medical decision support, programming, project management, eGovernment & eBusiness, eLearning & eTraining, market analysis, judicial support, smart objects and ubiquitous systems.
Ontology Engineering (OE) brings new synergy to decision support. It will change (and actually now is changing) the decision support landscape, as it will enable new breeds of decision models, DSS applications and systems to be developed. Its realm will be significantly extended. By enabling digital intelligence in everyday decision support flows with interoperability and shareability, decision tasks and decision making processes in our workplaces, our homes, our businesses and even our own routine lives, could be simplified in a more efficient, more accurate way and more comfortable way.
SeDeS presents the latest innovations and achievements of academic/business/governmental communities on Decision Support Systems (DSS). The workshop focuses on theory, systems, computer aided methods, models, algorithms, techniques, methodologies and applications related to supporting decision making.
Goals and Topics
The main goal of this workshop is to give an opportunity to researchers who are interested in decision support systems and using modern semantic technologies to meet and exchange research and implementation ideas. Research results concerning both theories and practices can be articulated. It also provides researchers an excellent opportunity to present their research ideas and experimental results in paper format. Relevant topics include (but are not limited to) theoretical and/or empirical exploration of semantics and/or decision support, as well as case studies and experience reports related to:
Theory/principles of decision support
? Decision trees
? Decision tables
? Bayes networks
? Decision models
? Fuzzy studies
? Rough set decision making
DSS for Innovation management
? DDS for R&D project evaluation
? DDS for start up companies evaluation
Medical decision making systems
? Clinical decision support system (CDSS)
? Knowledge-Based CDSS
? non-Knowledge-Based CDSS
Medical Image Interpretation support systems
? Computer-aided detection (CADe)
? Computer-aided diagnosis (CADx)
? Computer-aided simple triage (CAST)
? Computer-aided quantification (CADq)
Ontology and Decision Support System (DSS) for business intelligence (BI)
? Decision models of business information
? Business process modelling
? Event controlling
? Business rule modelling
? Business service modelling
? Workflow modelling
DSS for GRC (Governance Risk and Compliance) Management
? Operational risk DSS
? Financial risk DSS
? Actuarial DSS
DSS for BPM (Business Process Management)
? Business Process Generation and Modeling DSS
? Business Process Governance DSS
? Business Process Improvement DSS
Group Decision Making
? Policy making
? eGovernment modelling
? eBusiness modelling
? Pattern negotiation and analysis
? Group analysis methodologies and algorithms
Ontologies for business decision support systems
? Competency ontology
? eLearning and Training
? Business processes
? Ontology-based data mining
? Ontology-based data clustering
? Ontology-based searching
? Ontology matching
Industrial experiences
? DSS for smart house
? DSS for smart city
? Decision support for ubiquitous systems
? eGovernment
? eBusiness