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Knowledge Discovery from the Web


Special issue call for papers from Information Discovery and Delivery

Guest editor(s): 
 
Assistant Professor Hui Shi
Computer Information Systems, California State Polytechnic University, Pomona;  
 
Email: huishi@cpp.edu
 
Assistant Professor Hao Ji
Computer Science, California State Polytechnic University, Pomona;  
 
Email: hji@cpp.edu
 
Assistant Professor Dazhi Chong
School of Management, California Lutheran University
 
Email: dchong@callutheran.edu

Knowledge is defined as facts, information, descriptions or skills acquired through experience or education. Valid, useful knowledge can help people make better predictions, support decision making and improve people’s lives. Knowledge Discovery focuses on searching and extracting useful knowledge from data, databases and documents with different methodologies. The goal of Knowledge Discovery is mainly to uncover hidden relationships between data with techniques from artificial intelligence, mathematics, statistics, and algorithms. 

The objectives of the proposed special issue are to explore:

1) Existing and novel techniques to extract and present knowledge from the web;

2) Advanced ways to organize and maintain Digital Libraries to facilitate Knowledge Discovery;

3) Knowledge Discovery applications in Business;

4) New challenges and technologies which have been brought to the area of knowledge discovery.
 

We invite original articles related to Knowledge Discovery from the Web, which include but are not limited to:

  • Information Visualization techniques in Knowledge Discovery from the Web including social media, online database, digital library, etc.
  • Information extraction and text-mining approaches for semantic enrichment of Digital Libraries
  • Ontology driven Knowledge Discovery from the Web
  • Applications of Semantic Web in Digital Libraries
  • Automatic categorization and clustering of scientific publications
  • Academic recommender systems
  • privacy-preserving data mining and knowledge discovery
  • data mining, knowledge discovery and security
  • Knowledge discovery for enabling smart Internet of Things


Submissions should comply with the journal author guidelines which are here. They should be made through ScholarOne Manuscripts, the online submission and peer review system. Registration and access is available here