Entities are natural units for organizing information in a meaningful way. Their importance has been recognized for a long time in the fields of databases (DB) and natural language processing (NLP), but it is only recently that their significance and role have been established in information retrieval (IR). Many information needs revolve around entities, their properties, and/or the relations between them. Entities can be used to enrich the search result page to enable direct answers or serendipitous results. They also play a major role in bridging unstructured and structured data sources.
The growing importance of entities is evidenced by numerous workshops, tutorials, evaluation benchmarking campaigns, journal special issues, surveys, and dedicated sessions at major IR conferences. The remarkable resources being devoted to Google’s Knowledge Graph, Facebook’s Entity graph, and Microsoft’s Satori underline the significance of entities in industrial development.
Despite the substantial level of interest, currently there is no comprehensive reference material available on the subject–this book aims to fill that gap.
The book aims to cover all facets of entity-oriented search (where “search” can be interpreted in the broadest sense of information access) from a unified point of view and provide a coherent and comprehensive overview of the state-of-the-art.
The book is currently being finalized with a target publication date of 2018 Q2.