KG4IR: The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis

held in conjunction with ACM SIGIR 2017, Tokyo, Japan, August 11, 2017


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Large, publicly available knowledge graphs (KGs) have given rise to many successful improvements on traditional information retrieval tasks such as ad hoc document retrieval. This workshop focuses on the end-to-end utilization of knowledge graphs and semantics in text retrieval and other IR-related applications. Its scope covers the acquisition, the alignment, and the utilization of knowledge graphs and semantic resources for the purpose of optimizing end-to-end performance of a system that responds to a user’s information need. Examples of such technologies and applications include entity ranking, entity linking, entity-based retrieval models, entity recommendation, document filtering, knowledge graph population, and more. This workshop features discussions and presentations on innovative ideas for new methods, suggestions for shared tasks and benchmarks, position papers, as well as reports on practical experiences with KG technology both from academia and industry.

Topics of this workshop include but are not limited to:


This workshop features keynotes, a discussion panel, as well as poster and oral presentations.

Paper Proceedings


Workshop Program