PKAW 2012 : The 2012 Pacific Rim Knowledge Acquisition Workshop
Conference Series : Pacific Rim Knowledge Acquisition Workshop
Call For Papers
Topics of Interest
Papers are invited for consideration in all aspects of knowledge acquisition, engineering and management for intelligent systems, including (but not restricted to):
Fundamental views on knowledge that affect the knowledge acquisition process and the use of knowledge in knowledge engineering
Algorithmic approaches to knowledge acquisition
Tools and techniques for knowledge acquisition, knowledge maintenance and knowledge validation.
Evaluation of knowledge acquisition techniques, tools and methods
Knowledge acquisition and machine learning
Languages and frameworks for knowledge and knowledge modelling information systems or decision support systems
Methods and techniques for sharing and reusing knowledge
Distributed knowledge acquisition through infrastructures such as the internet and social networks
Ontology acquisition and the role of ontologies in knowledge acquisition
Knowledge authoring and semantic annotation
Knowledge acquisition from non-ontological sources
Mining the Semantic Web and the Web of Data
The role of agents in knowledge acquisition
Data mining and machine learning
Business Rules, Knowledge Acquisition and Software Engineering
Knowledge Acquisition for idea generation, creativity and innovation
Algorithmic approaches to machine intelligence
Tools and techniques for machine intelligence
Instructions for Paper Submission
Papers must follow the Springer Lecture Notes format. The paper should be between 10 to 15 pages long. For format templates, please see the Springer Website.. Submission will be via Easychair.. The site will be open soon.
Paper Submission: 30th April, 2012
Notification of Acceptance: 18th May, 2012
Camera Ready: 28th May, 2012
Each submission will be reviewed by at least two members from the program committee. Acceptance is based on the basis of relevance, originality, significance, soundness and clarity.
All accepted papers will be published in Springer Lecture Notes Series.