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Entity-Oriented Search
Buch von Krisztian Balog
Sprache: Englisch

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Beschreibung
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 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.
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 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.
Über den Autor
Krisztian Balog is a full professor of Computer Science, heading the Information Access and Interaction (IAI) group at the Department of Electrical Engineering and Computer Science at the University of Stavanger. His general research interests lie in the use and development of information retrieval, information extraction, and machine learning techniques for intelligent information access tasks, and his current emphasis is on entity-oriented and semantic search, and novel evaluation methodologies. His work on entity retrieval has been very influential and has received numerous awards.
Zusammenfassung

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 for search

Shows how entity search can provide the basis for semantic search with rich and focused query responses

Inhaltsverzeichnis
1 Introduction.- 2 Meet the Data.- 3 Term-Based Models for Entity Ranking.- 4 Semantically Enriched Models for Entity Ranking.- 5 Entity Linking.- 6 Populating Knowledge Bases.- 7 Understanding Information Needs.- 8 Leveraging Entities in Document Retrieval.- 9 Utilizing Entities for an Enhanced Search Experience.- 10 Conclusions and Future Directions.
Details
Erscheinungsjahr: 2018
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: The Information Retrieval Series
Inhalt: xix
351 S.
73 s/w Illustr.
13 farbige Illustr.
351 p. 86 illus.
13 illus. in color.
ISBN-13: 9783319939339
ISBN-10: 3319939335
Sprache: Englisch
Herstellernummer: 978-3-319-93933-9
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Balog, Krisztian
Auflage: 1st ed. 2018
Hersteller: Springer International Publishing
The Information Retrieval Series
Maße: 241 x 160 x 26 mm
Von/Mit: Krisztian Balog
Erscheinungsdatum: 16.10.2018
Gewicht: 0,723 kg
Artikel-ID: 113722782
Über den Autor
Krisztian Balog is a full professor of Computer Science, heading the Information Access and Interaction (IAI) group at the Department of Electrical Engineering and Computer Science at the University of Stavanger. His general research interests lie in the use and development of information retrieval, information extraction, and machine learning techniques for intelligent information access tasks, and his current emphasis is on entity-oriented and semantic search, and novel evaluation methodologies. His work on entity retrieval has been very influential and has received numerous awards.
Zusammenfassung

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 for search

Shows how entity search can provide the basis for semantic search with rich and focused query responses

Inhaltsverzeichnis
1 Introduction.- 2 Meet the Data.- 3 Term-Based Models for Entity Ranking.- 4 Semantically Enriched Models for Entity Ranking.- 5 Entity Linking.- 6 Populating Knowledge Bases.- 7 Understanding Information Needs.- 8 Leveraging Entities in Document Retrieval.- 9 Utilizing Entities for an Enhanced Search Experience.- 10 Conclusions and Future Directions.
Details
Erscheinungsjahr: 2018
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: The Information Retrieval Series
Inhalt: xix
351 S.
73 s/w Illustr.
13 farbige Illustr.
351 p. 86 illus.
13 illus. in color.
ISBN-13: 9783319939339
ISBN-10: 3319939335
Sprache: Englisch
Herstellernummer: 978-3-319-93933-9
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Balog, Krisztian
Auflage: 1st ed. 2018
Hersteller: Springer International Publishing
The Information Retrieval Series
Maße: 241 x 160 x 26 mm
Von/Mit: Krisztian Balog
Erscheinungsdatum: 16.10.2018
Gewicht: 0,723 kg
Artikel-ID: 113722782
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