Modern Web data is highly structured in terms of entities and relations from large knowledge resources, geo-temporal references and social network structure, resulting in a massive multidimensional graph. This graph essentially unifies both the searcher and the information resources that played a fundamentally different role in traditional IR, and "Graph Search" offers major new ways to access relevant information. Graph search affects both query formulation (complex queries about entities and relations building on the searcher's context) as well as result exploration and discovery (slicing and dicing the information using the graph structure) in a completely personalized way. This new graph based approach introduces great opportunities, but also great challenges, in terms of data quality and data integration, user interface design, and privacy. We view the notion of "graph search" as searching information from your personal point of view (you are the query) over a highly structured and curated information space. This goes beyond the traditional two-term queries and ten blue links results that users are familiar with, requiring a highly interactive session covering both query formulation and result exploration. The workshop will attract a range of research working on this and related topics, and work together on one of the greatest challenges in the years to come.
More info at http://humanities.uva.nl/~kamps/gsb15/
Omar Alonso is a senior technical lead at Microsoft Corporation in Mountain View, as part of the http://bing. com/ social search team. He has organized numerous workshops, including the three workshops on Exploiting Semantic Annotations for IR (ECIR'08, WSDM'09, CIKM'11,CIKM'14). His research interests are temporal retrieval, text mining, exploratory search, IR and databases, domain engineering, sense-making, information visualization, crowdsourcing and human-based computation.
University of California, Berkeley
Marti Hearst is a professor at UC Berkeley (School of Information and the Computer Science Division). She organized a great number of conferences and workshops, including workshops on Search and Social Media (WSDM'09-'10), and the international conference on Weblogs and Social Media (ICWSM'10), and on Learning at Scale (L@S'14). Her primary research interests are user interfaces for search engines, information visualization, natural language processing, and improving MOOCs.
University of Amsterdam
Jaap Kamps is a tenured faculty member at the University of Amsterdam. He is prolific organizer of workshops, on Focused Retrieval (SIGIR'07 and SIGIR'08), on the Future of IR Evaluation (SIGIR'09), on the Simulation of Interaction (SIGIR'10), on Supporting Complex Tasks (SIGIR'11, ECIR'15), and on Exploiting Semantic Annotation in IR (CIKM'10-'14). In addition, he organized various tracks, on XML Retrieval (INEX'07-'14 as part of CLEF in '12-'14), on Contextual Suggestion (TREC '12-'15), and on Social Book Search (CLEF'15, previously a main track in INEX). His research interests span all facets of information storage and retrieval, a common element is the combination of textual information with additional structure, such as document structure, Web-link structure, and/or contextual information, such as metadata, anchors, tags, or clicks.