Special issue on soft computing for knowledge management and web applications

Chang-Shing Lee, Hung-Yu Kao
2017 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
The researches on the soft computing techniques for knowledge management and web applications have been spread widely to be critical areas, such as intelligent techniques in soft computing, web intelligence, ontology, intelligent agent, real-world automatic control robots, and so on. This special issue contains seven papers that consider different aspects of research on soft computing for knowledge management and web applications. These papers cover clustering analysis, financial forecast,
more » ... se textual entailment, preventive care system with learning communication robots, linguistic-based entity matching in linked data, ontologies in engineering, and topic detection. The first paper, "Particle swarm optimization algorithm with environmental factors for clustering analysis," by Song et al., presents an environment factor-inspired particle swarm optimization algorithm (EPSO) for clustering analysis. The experimental results indicate that EPSO performs better than state-of-the-art clustering algorithms in most cases. The second paper, "Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm" of Kampouridis and Otero, presents an evolutionary dynamic data investment evaluator (EDDIE) to improve the predictability of a genetic programming finan-Communicated by C.-S. Lee. B Chang-Shing Lee
doi:10.1007/s00500-016-2392-7 fatcat:svrlc5fj4bdn5du54qwuzmv7hy