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Titolo: | Exploiting Linked Data and Knowledge Graphs in Large Organisations / / edited by Jeff Z. Pan, Guido Vetere, Jose Manuel Gomez-Perez, Honghan Wu |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Edizione: | 1st ed. 2017. |
Descrizione fisica: | 1 online resource (XVIII, 266 p. 59 illus., 44 illus. in color.) |
Disciplina: | 006.3 |
Soggetto topico: | Artificial intelligence |
Data mining | |
Application software | |
Management information systems | |
Artificial Intelligence | |
Data Mining and Knowledge Discovery | |
Information Systems Applications (incl. Internet) | |
Business Information Systems | |
Persona (resp. second.): | PanJeff Z |
VetereGuido | |
Gomez-PerezJose Manuel | |
WuHonghan | |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | Part I Knowledge Graph Foundations & Architecture -- Part II Constructing, Understanding and Consuming Knowledge Graphs -- Part III Industrial Applications and Successful Stories. |
Sommario/riassunto: | This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge consumption and “standard” data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps. It provides concrete guidelines for effectively deploying linked-data graphs within and across business organizations. It is divided into three parts, focusing on the key technologies for constructing, understanding and employing knowledge graphs. Part 1 introduces basic background information and technologies, and presents a simple architecture to elucidate the main phases and tasks required during the lifecycle of knowledge graphs. Part 2 focuses on technical aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs. Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, and offers conclusions and future visions. |
Titolo autorizzato: | Exploiting Linked Data and Knowledge Graphs in Large Organisations |
ISBN: | 3-319-45654-7 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910163028403321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |