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Record Nr. |
UNINA9910299349103321 |
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Autore |
Balog Krisztian |
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Titolo |
Entity-Oriented Search [[electronic resource] /] / by Krisztian Balog |
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Pubbl/distr/stampa |
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Cham, : Springer Nature, 2018 |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XIX, 351 p. 86 illus., 13 illus. in color.) |
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Collana |
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The Information Retrieval Series, , 1871-7500 ; ; 39 |
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Disciplina |
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Soggetti |
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Information storage and retrieval |
Artificial intelligence |
Mathematical statistics |
Application software |
Information Storage and Retrieval |
Artificial Intelligence |
Probability and Statistics in Computer Science |
Information Systems Applications (incl. Internet) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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, |
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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. |
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2. |
Record Nr. |
UNINA9910831805803321 |
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Autore |
Weber Vanessa |
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Titolo |
Die Digitale Stadt : Kuratierte Daten für urbane Kollaborationen / / Gesa Ziemer, Vanessa Weber |
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Pubbl/distr/stampa |
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Bielefeld : , : transcript Verlag, , [2022] |
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©2022 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (194 p.) |
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Collana |
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Disciplina |
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Soggetti |
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SOCIAL SCIENCE / Sociology / Urban |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Frontmatter -- Inhalt -- Statt einer Einleitung: Das Projekt »Finding Places« -- Bildstrecke: Die Projekte des »City Science Lab« und »UNITAC Hamburg« -- 1 Umrisse des Forschungsfeldes »Digital City Science« -- 2 Von der Smart City zur digitalen Stadt: Eine Rekonstruktion des Diskursfeldes -- 3 Die Kunst des Kuratierens in der Kunst -- 4 Zwischen Datenmanagement und »Data Curation« -- 5 Projekte zur digitalen Stadt: Laboratorien zur Erforschung ihrer Zukünfte -- 6 Die Kunst des Zusammenarbeitens: Praktiken und Werkzeuge -- In Widersprüche eingelassen: Die digitale Stadt und ihre Projekte -- Literaturverzeichnis -- Danksagung |
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Sommario/riassunto |
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Big Data können wie nie zuvor durch neue Technologien miteinander verknüpft werden - was enormes Potenzial für die Stadtentwicklung birgt. Doch wie lassen sich diese Daten kuratieren, damit sowohl die Bürger*innen als auch die Expert*innen der Stadtentwicklung besser zusammenarbeiten können? Vanessa Weber und Gesa Ziemer analysieren den technisch getriebenen Smart-City-Diskurs kritisch und stellen dabei den konkreten Nutzen für die Menschen ins Zentrum ihrer Überlegungen. Sie beschreiben Praktiken des »City Science Labs«, in dem datenbasierte Werkzeuge zur Entscheidungsfindung in urbanen Reallaboren erprobt und angewendet werden, und diskutieren konkrete Beispiele. |
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