SCOPEKnowledge Engineering (KE) refers to all technical, scientific and social aspects involved in building, maintaining and using knowledge-based systems. KE is a multidisciplinary field, bringing in concepts and methods from several computer science domains such as artificial intelligence, databases, expert systems, decision support systems and geographic information systems. From the software development point of view, KE uses principles that are strongly related to software engineering. KE is also related to mathematical logic, as well as strongly involved in cognitive science and socio-cognitive engineering where the knowledge is produced by humans and is structured according to our understanding of how human reasoning and logic works. Currently, KE is strongly related to the construction of shared knowledge bases or conceptual frameworks, often designated as ontologies.CONFERENCE TOPICS    * Knowledge Representation    * Knowledge Acquisition    * Context Analysis and Modeling    * Decision Support Systems    * Expert Systems    * Ontology Engineering    * Networked Ontologies    * Semantic Web    * Process Knowledge and Semantic Services    * Ontology Sharing and Reuse    * Ontology Matching and Alignment    * Knowledge Reengineering    * AI Programming    * Intelligent Problem Solving    * Natural Language Processing    * Human-machine Cooperation    * e-Business and Interoperability Issues    * Intelligent Multi-agent Systems    * Information Integration    * Virtual Enterprises    * Multi-cultural Information Systems    * Applications and Case-studies    * Domain Analysis and Modeling    * Metamodelling    * Education and Training IssuesIMPORTANT DATES› Conference date: 26-29 October, 2011Regular Paper Submission: May 10, 2011Authors Notification (regular papers): July 6, 2011Final Regular Paper Submission and Registration: July 22, 2011