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Exploiting Linked Data and Knowledge Graphs in Large Organisations
Buch von Jeff Z. Pan (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor

About the Editors:

Jeff Z. Pan is a Reader (Professor) at University of Aberdeen. He is the Chief Scientist of the EC Marie Curie K-Drive project and has edited many books/proceedings on Semantic Technologies and Linked Data. He is well known for his work on knowledge construction, reasoning and exploitation.

Guido Vetere leads the IBM Center for Advanced Studies Italy. He has led/worked in many research and development projects in KR, NLP and ontology. He also leads Senso Comune ([...] a collaborative initiative for building an open KB of the Italian language.

Jose Manuel Gomez-Perez is the Director R&D at Expert System Iberia (ESI). His expertise is on supporting users in creating, sharing, and accessing knowledge. He has a long experience in European R&D projects, privately-funded technology transfer activities and R&D projects.

Honghan Wu is a data scientist in NIHR Maudsley Biomedical Research Centre at King's College London. His current research focus is on annotating, analysing and searching large scale healthcare data by utilising Knowledge Graph techniques.

Zusammenfassung

Addresses the topic of exploiting enterprise linked data with a focus on knowledge construction and accessibility within enterprises

Focuses on the key technologies for constructing, understanding and employing knowledge graphs

Written for academic researchers, knowledge engineers, and IT professionals who are interested in learning about experiences of using knowledge graphs in enterprises and large organisations

Includes supplementary material: [...]

Inhaltsverzeichnis

Part I Knowledge Graph Foundations & Architecture.- Part II Constructing, Understanding and Consuming Knowledge Graphs.- Part III Industrial Applications and Successful Stories.

Details
Erscheinungsjahr: 2017
Fachbereich: Anwendungs-Software
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 284
Inhalt: xviii
266 S.
15 s/w Illustr.
44 farbige Illustr.
266 p. 59 illus.
44 illus. in color.
ISBN-13: 9783319456522
ISBN-10: 3319456520
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Redaktion: Pan, Jeff Z.
Wu, Honghan
Gomez-Perez, Jose Manuel
Vetere, Guido
Herausgeber: Jeff Z Pan/Guido Vetere/Jose Manuel Gomez-Perez et al
Auflage: 1st ed. 2017
Hersteller: Springer International Publishing
Springer International Publishing AG
Maße: 241 x 160 x 21 mm
Von/Mit: Jeff Z. Pan (u. a.)
Erscheinungsdatum: 09.02.2017
Gewicht: 0,594 kg
preigu-id: 108394258
Über den Autor

About the Editors:

Jeff Z. Pan is a Reader (Professor) at University of Aberdeen. He is the Chief Scientist of the EC Marie Curie K-Drive project and has edited many books/proceedings on Semantic Technologies and Linked Data. He is well known for his work on knowledge construction, reasoning and exploitation.

Guido Vetere leads the IBM Center for Advanced Studies Italy. He has led/worked in many research and development projects in KR, NLP and ontology. He also leads Senso Comune ([...] a collaborative initiative for building an open KB of the Italian language.

Jose Manuel Gomez-Perez is the Director R&D at Expert System Iberia (ESI). His expertise is on supporting users in creating, sharing, and accessing knowledge. He has a long experience in European R&D projects, privately-funded technology transfer activities and R&D projects.

Honghan Wu is a data scientist in NIHR Maudsley Biomedical Research Centre at King's College London. His current research focus is on annotating, analysing and searching large scale healthcare data by utilising Knowledge Graph techniques.

Zusammenfassung

Addresses the topic of exploiting enterprise linked data with a focus on knowledge construction and accessibility within enterprises

Focuses on the key technologies for constructing, understanding and employing knowledge graphs

Written for academic researchers, knowledge engineers, and IT professionals who are interested in learning about experiences of using knowledge graphs in enterprises and large organisations

Includes supplementary material: [...]

Inhaltsverzeichnis

Part I Knowledge Graph Foundations & Architecture.- Part II Constructing, Understanding and Consuming Knowledge Graphs.- Part III Industrial Applications and Successful Stories.

Details
Erscheinungsjahr: 2017
Fachbereich: Anwendungs-Software
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 284
Inhalt: xviii
266 S.
15 s/w Illustr.
44 farbige Illustr.
266 p. 59 illus.
44 illus. in color.
ISBN-13: 9783319456522
ISBN-10: 3319456520
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Redaktion: Pan, Jeff Z.
Wu, Honghan
Gomez-Perez, Jose Manuel
Vetere, Guido
Herausgeber: Jeff Z Pan/Guido Vetere/Jose Manuel Gomez-Perez et al
Auflage: 1st ed. 2017
Hersteller: Springer International Publishing
Springer International Publishing AG
Maße: 241 x 160 x 21 mm
Von/Mit: Jeff Z. Pan (u. a.)
Erscheinungsdatum: 09.02.2017
Gewicht: 0,594 kg
preigu-id: 108394258
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