The 4th International Workshop on
Semantic Computing and Personalization

Workshop Topics

As the development of World Wide Web, social networks, wikis and social tagging communities are becoming more and more popular. The above user-generated data gives a new ground to extend the focus of the Semantic Web by engaging it in other communities, where semantics can play an important role. Along with the interaction between users and computers, more and more personalized information are potentially mined from the Web by using semantic computing technology, such as ontology engineering for social network and personalization, mining user reviews, learners and courses modeling, user profiling in social network, sentiment analysis for user opinion mining and so on. Connecting semantic computing and personalized can enhance classic information management and retrieval approaches. It combines data mining with semantic computing as a promising direction and offers opportunities for developing novel algorithms and tools ranging from text and multimedia. In many scenarios of social networking, massive online open courses (MOOCs), social tags and wikis, semantic computing, personalization and recommendation are core functionalities.

The 4th International Workshop on Semantic Computing and Personalization (SeCoP) in conjunction with DASFAA 2017 will bring together the academia, researchers and industrial practitioners from computer science, information systems, psychology, behavior science and organization science discipline, and provide a forum for recent advances in the field of semantic computing and personalization, from the perspectives of information management and mining.

Topics of interest include, but are not limited to the exploitation of the Web of Data, the identification of semantics underlying social annotations of multimedia contents, and the application of semantic-based techniques and technologies in research fields related to (but not limited):

  • Content-based recommendation and collaborative filtering
  • Personalized content browsing and searching
  • Deep learning for semantic computing and personalization
  • Big data applications and systems
  • Community identification and exploitation
  • Social networks analysis for collaborative recommendation
  • User modeling based on social tagging information
  • Context-aware personalized information access and delivery
  • Mobile and ubiquitous multimedia content access and delivery
  • Sentiment analysis and opinion mining
  • Micro-blog and Review content mining and analysis
  • Personalized and context-aware ontology
  • E-learning systems and learner profiling
  • Massive online open courseware and content modeling

Accepted papers will be published in the conference proceedings to be published as a volume of Springer's Lecture Notes in Computer Science series (EI compendex).