Web Information Systems Engineering -- WISE 2013: 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part II [Paperback]

This book constitutes the proceedings of the 14th International Conference on Web Information Systems Engineering, WISE 2013, held in Nanjing, China, in October 2013. The 48 full papers, 29 short papers, and 10 demo and 5 challenge papers, presented in the two-volume proceedings LNCS 8180 and 8181, were carefully reviewed and selected from 198 submissions. They are organized in topical sections named: Web mining; Web recommendation; Web services; data engineering and database; semi-structured data and modeling; Web data integration and hidden Web; challenge; social Web; information extraction and multilingual management; networks, graphs and Web-based business processes; event processing, Web monitoring and management; and innovative techniques and creations.An Evaluation of Aggregation Techniques in Crowdsourcing.- Propagated Opinion Retrieval in Twitter.- Diversifying Tag Selection Result for Tag Clouds by Enhancing both Coverage and Dissimilarity.- Community Detection in Multi-relational Social Networks.- Community Detection in Social Media by Leveraging Interactions and Intensities.- A Novel and Model Independent Approach for Efficient Influence Maximization in Social Networks.- iPLUG: Personalized List Recommendation in Twitter.- The Irreducible Spine(s) of Undirected Networks.- SocWeb: Efficient Monitoring of Social Network Activities.- A Multiple Feature Integration Model to Infer Occupation from Social Media Records.- Recommending Interesting Landmarks Based on Geo-tags from Photo Sharing Sites.- Topical Discussions on Unstructured Microblogs: Analysis from a Geographical Perspective.- Discovering Correlated Entities from News Archives.- High Quality Microblog Extraction Based on Multiple Features Fusion and Time-Frequency Transformation.- Exploiting Structural Similarity for Automatic Information Extraction from Lists.- A Minwise Hashing Method for Addressing Relationship Extraction from Text.- Generating a Conceptual Representation of a Legacy Web Applicatlãf