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Books > Computing & IT > Applications of computing > Artificial intelligence
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Entity-Oriented Search (Paperback, Softcover reprint of the original 1st ed. 2018)
Loot Price: R1,750
Discovery Miles 17 500
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Entity-Oriented Search (Paperback, Softcover reprint of the original 1st ed. 2018)
Series: The Information Retrieval Series, 39
Expected to ship within 10 - 15 working days
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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 and
sources 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 core task is examined in a
number of different variants, using both structured and
unstructured data collections, and numerous query formulations. In
turn, Part II is devoted to the role of entities in bridging
unstructured and structured data. Part III explores how entities
can enable search engines to understand the concepts, meaning, and
intent behind the query that the user enters into the search box,
and how they can provide rich and focused responses (as opposed to
merely a list of documents)-a process known as semantic search. The
final chapter concludes the book by discussing the limitations of
current approaches, and suggesting directions for future research.
Researchers and graduate students are the primary target audience
of this book. A general background in information retrieval is
sufficient to follow the material, including an understanding of
basic probability and statistics concepts as well as a basic
knowledge of machine learning concepts and supervised learning
algorithms.
General
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