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COMSIS 2016 : Knowledge-based industrial applications | |||||||||||||||
Link: http://www.comsis.org/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Computer Science & Information Systems
ISSN: 1820-0214 (Print) 2406-1018 (Online). 2014 ISI Impact Factor: 0.477 http://www.comsis.org/ Knowledge-based industrial applications Knowledge-based technologies are gaining momentum and they are currently achieving a certain degree of maturity. They are especially valuable in situations in which the amount of available information is prohibitive for the intuition of an unaided human decision maker and in which precision and optimality are of importance. Knowledge-based systems can aid human cognitive deficiencies by integrating various sources of information, providing intelligent access to relevant knowledge, and aiding the process of structuring decisions. They can also support choice among well-defined alternatives and build on formal approaches, such as the methods of engineering economics, operations research, statistics analysis, and decision theory. They can also employ artificial intelligence methods to address heuristically problems that are intractable by formal techniques. They provide a consistent and reliable basis to face the challenges for organization, manipulation and visualization of the data and knowledge, playing a crucial role as the technological basis of the development of a large number of Computational Intelligence Systems. These technologies draw on standard and novel techniques from various disciplines within Computer Science, including Knowledge Engineering, Natural Language Processing, Decision Support Systems, Artificial Intelligence, Databases, Software Agents, etc. The methods and tools developed and integrated for this purpose are generic and have a very large application potential in a large amounts of fields like Information Retrieval, Semantic Searches, Information Integration, Information Interoperability, Bioinformatics, eHealth, eLearning, Software Engineering, eCommerce, eGovernment, Social Networks, eSupply Chain, etc. The design tools for management knowledge allow the industry to improve and learn from the experiences of their activities and employees. This Special Issue considers the following industrial sectors, but are not limited: Aerospace, Agriculture, Automotive, Banking, Business Services, Food Manufacturing, Mining and Mineral Extraction, National Government, Insurance, Energy Services and others. The goal of the Special Issue is to investigate and disseminate trends among innovative and high-quality research regarding the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced Knowledge-based methods and techniques and their application in industry. Every paper must report a proposal or application in industry. Topics of interest in this workshop include, but are not restricted to: • Knowledge Representation and Reasoning in industry • Knowledge Acquisition in industry • Knowledge-Based Implementation techniques and System Architectures • Application of Knowledge-Based Methods • Software Tools for Knowledge-Based Systems construction • Knowledge Acquisition & Representation • Ontological Engineering in industry • Ontology Sharing and Reuse in industry • Ontology Matching and Alignment in industry • Semantic Web Semantic Integration of heterogeneous data sources • Natural Language Processing in industry • Social Semantic Web • Knowledge-based Decision Support Systems in industry • Industrial linked Data Applications • Supply Chain Knowledge Management • Decision-Support mechanisms • Knowledge, Industry and Environment • Tools for Industrial Knowledge Management • Software to Modeling Knowledge in industry • Industrial applications and Case-studies Submission procedure Papers submitted must have not been published previously or under consideration for publication in other journals, though they may represent significant extensions of prior work. Authors should submit their paper via email: valencia@um.es, jorge.garcia@uacj.mx, galor@itorizaba.edu.mx and csanchez@itorizaba.edu.mx, and the subject of the email should be: “COMSIS SI Submission: KB applications”. In a first stage a preliminary selection of the submitted papers will be done by guest editors. Then authors will be notified if their paper has been selected a possible candidate to be published in two weeks. Then, all preselected submissions should be submitted through the submission platform. They will be peer-reviewed following the double-blind review process. The objective is to apply very high standards of acceptance while ensuring fair, timely and efficient review cycles. The acceptance process will focus on papers that address original scientific contributions in the form of theoretical and experimental research and case studies applying advanced Knowledge-based methods and techniques and their application in industry. Also, an abstract submission is mandatory to allow editors the assignment of the most suitable reviewers for each paper. Working schedule • Submission deadline: February 1st, 2016 • First selection of submissions; February 15th, 2016 • Completion of first‐round reviews: May 15th, 2016 • Revised papers: July 31st, 2016 • Target of the second (last) round of reviews: September, 15h, 2016 • Publication (tentative): End of 2016 Special Issue Editors Rafael Valencia-García, Universidad de Murcia, Spain (valencia@um.es) Jorge Luis Garcia-Alcaraz, Autonomous University of Ciudad Juarez, México (jorge.garcia@uacj.mx) Giner Alor-Hernández, Instituto Tecnológico de Orizaba, México (galor@itorizaba.edu.mx ) Cuauhtemoc Sanchez-Ramirez, Instituto Tecnológico de Orizaba, México (csanchez@itorizaba.edu.mx) |
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