International Journal of Knowledge and Web Intelligence – IJKWI
IJKWI proposes and fosters discussion on the techniques, systems, methods and applications that help the World Wide Web to transform from a static data and information repository into an interactive, dynamic, transparent and secure knowledge and service network. The Web has become a ubiquitous tool for finding and sharing information, and conducting business, learning and entertainment. IJKWI is committed to deepening the understanding of enabling technologies for applying and developing the Web as a global information repository as well as computational, cognitive and social foundations of the Web.
The objectives of IJKWI are to present and stimulate the future development of new models, new methodologies, and new tools for building a variety of embodiments of Web-based systems and applications. The journal also aims to promote and coordinate developments in the fields of data mining, artificial intelligence, information retrieval, knowledge engineering and machine learning, with an emphasis on making the Web a richer, friendlier, and more intelligent resource that we can all share and explore.
IJKWI provides a vehicle to help professionals, academics, researchers and practitioners, working in the field of web intelligence, data mining, machine learning, artificial intelligence, information retrieval and knowledge engineering, to disseminate information and to learn from each other’s work.
IJKWI publishes original papers, review papers, technical reports, survey papers, case studies, conference reports, book reviews, notes, commentaries, and issues. Special issues devoted to important topics in knowledge and web intelligence will occasionally be published.
Suitable topics include, but are not limited to:
- Intelligently searching and navigating the Web
- Personalised access to the Web and recommender systems
- Innovations, applications and issues in the domain of intelligent technologies (artificial intelligence, data mining and machine learning) for the Web
- XML data mining, querying and management
- Ontology generation, learning and reasoning
- Semantic Web and Web 2.0
- Web usage, content and structure mining
- Web-based decision support systems
- Intelligent human-web interaction
- Social network analysis and Web blog mining
Specific Notes for Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper was not originally copyrighted and if it has been completely re-written).
All papers are refereed through a double blind process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Submission of Papers web-page.
You may send one copy in the form of an MS Word file attached to an e-mail (details of file formats in Author Guidelines) to Dr Richi Nayak or Prof. Lakhmi C. Jain, below