SeCoP 2018 - The 5th International Symposium on Semantic Computing and Personalization

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 is 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 5th International Symposium on Semantic Computing and Personalization (SeCoP) in conjunction with DASFAA 2018 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
Deep learning for multimedia applications
Artificial intelligence for web 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
Educational data mining and learning analytics
Massive online open courseware and content modeling
All papers accepted by DASFAA 2018 workshops will be will be published in a combined volume of Lecture Notes in Computer Science series published by Springer, and indexed by both LNCS and DBLP.