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Titlebook: Entity-Oriented Search; Krisztian Balog Book‘‘‘‘‘‘‘‘ 2018 The Editor(s) (if applicable) and the Author(s) 2018 Open Access.Information ret

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發(fā)表于 2025-3-21 19:47:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Entity-Oriented Search
編輯Krisztian Balog
視頻videohttp://file.papertrans.cn/312/311660/311660.mp4
概述The first book on a rapidly developing area, providing a coherent and comprehensive overview of the state of the art.Details how entities can bridge the gap between unstructured and structured data fo
叢書名稱The Information Retrieval Series
圖書封面Titlebook: Entity-Oriented Search;  Krisztian Balog Book‘‘‘‘‘‘‘‘ 2018 The Editor(s) (if applicable) and the Author(s) 2018 Open Access.Information ret
描述This open access book?covers 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 provides a coherent and comprehensive overview of the state of the art. It represents the first synthesis of research in this broad and rapidly developing area. Selected topics are discussed in-depth, the goal being to establish fundamental techniques and methods as a basis for future research and development. Additional topics are treated at a survey level only, containing numerous pointers to the relevant literature. A roadmap for future research, based on open issues and challenges identified along the way, rounds out the book..The book is divided into three main parts, sandwiched between introductory and concluding chapters. The first two chapters introduce readers to the basic concepts, provide an overview of entity-oriented search tasks, and present the various types andsources of data that will be used throughout the book. Part I deals with the core task of entity ranking: given a textual query, possibly enriched with additional elements or structural hints, return a ranked list of entities. This cor
出版日期Book‘‘‘‘‘‘‘‘ 2018
關(guān)鍵詞Open Access; Information retrieval; Retrieval models and ranking; Semantic search; Web searching and inf
版次1
doihttps://doi.org/10.1007/978-3-319-93935-3
isbn_softcover978-3-030-06749-6
isbn_ebook978-3-319-93935-3Series ISSN 1871-7500 Series E-ISSN 2730-6836
issn_series 1871-7500
copyrightThe Editor(s) (if applicable) and the Author(s) 2018
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https://doi.org/10.1007/978-3-030-01294-6ese facts. We start this chapter by giving a brief overview of the broader problem area of extracting structured information from unstructured data. Then, we present a two-step approach that facilitates knowledge base population. In step one, an incoming document stream is filtered to identify docum
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Herizons of Translation: Nicole Brossardically enriched representations of search queries with the help of knowledge repositories. Specifically, we (1) identify the types or categories of entities that are targeted by the query, (2) recognize specific entity mentions in queries and annotate them with unique identifiers from the underlying
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David B. Williams,C. Barry Cartering web, mobile, and enterprise search; question answering; and personal digital assistants. Entities have also become a meeting point for several research communities, including that of information retrieval, natural language processing, databases, and the Semantic Web. This final chapter concludes
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