Semantic Search over the Web

Roberto De Virgilio is currently working at the Universita Roma Tre as a research/postdoctoral fellow. His research interests are data integration, Web-based information systems, XML data management, Semantic Web, data modelling and database design, and model management. He is the author of several papers on Web information systems management and Semantic Web technologies and organizer of several international events to promote research on Semantic Web Data Management field. Francesco Guerra is a faculty member at the University of Modena and Reggio Emilia where he received his Ph.D. in Information Engineering in 2004. His main research interests include the integration of heterogeneous information sources, Semantic Web and keyword-based searches. He has participated in several Italian and European projects and he was a reviewer for international conferences and journals. Yannis Velegrakis is a faculty member at the University of Trento, with expertise in Schema Mapping, Interoperability, Heterogeneous Information Integration, Semantic Web, View Management, Social Networking and Keyword searching. Prior to joining the University of Trento, he held a researcher position at ATT Research Labs (USA) and had also spent time as a visitor at the IBM Almaden Research Center, the Center of Advanced Studies of the IBM Toronto Lab, and the University of California, Santa-Cruz. He is a member of the editorial board of the Journal on Data Semantics, and a reviewer for many international conferences and journals.

• Introduction.- Part I Introduction toWeb of Data.- Topology of the Web of Data.- Storing and Indexing Massive RDF Data Sets.- Designing Exploratory Search Applications upon Web Data Sources.- Part II Search over the Web.- Path-oriented Keyword Search query over RDF.- Interactive Query Construction for Keyword Search on the SemanticWeb.- Understanding the Semantics of Keyword Queries on Relational DataWithout Accessing the Instance.- Keyword-Based Search over Semantic Data.- Semantic Link Discovery over Relational Data.- Embracing Uncertainty in Entity Linking.- The Return of the Entity-Relationship Model: Ontological Query Answering.- Linked Data Services and Semantics-enabled Mashup.- Part III Linked Data Search engines.- A Recommender System for Linked Data.- Flint: from Web Pages to Probabilistic Semantic Data.- Searching and Browsing Linked Data with SWSE.

"This book is the only one I have encountered that is deeply centered on data--or, more precisely, on effective and scalable methods and techniques for accessing information from the web, the world's largest and most volatile database. [...] It goes deeply into several different aspects of the topic. [...] The editors of this book have done a good job of covering interesting topics and making the book readable as a whole. The chapters present deep insight into the research results of top teams, as evidenced by several well-known names among the contributors." M. Bielikova, ACM Computing Reviews, August 2013