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Exploiting linked data and knowledge graphs in large organisations [electronic resource]

자료유형

E-Book(소장)

개인저자

Pan, Jeff Z.

서명 / 저자사항

Exploiting linked data and knowledge graphs in large organisations [electronic resource] / Jeff Z. Pan ... [et al.], editors.

발행사항

Cham : Springer, c2017.

형태사항

1 online resource (xviii, 266 p.) : ill. (some col.).

ISBN

9783319456522 9783319456546 (e-book)

요약

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.

일반주기

Title from e-Book title page.

내용주기

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

서지주기

Includes bibliographical references and index.

이용가능한 다른형태자료

Issued also as a book.

일반주제명

Knowledge representation (Information theory).

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URL

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020		▼a 9783319456546 (e-book)
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084		▼a 006.332 ▼2 DDCK
090		▼a 006.332
245	0 0	▼a Exploiting linked data and knowledge graphs in large organisations ▼h [electronic resource] / ▼c Jeff Z. Pan ... [et al.], editors.
260		▼a Cham : ▼b Springer, ▼c c2017.
300		▼a 1 online resource (xviii, 266 p.) : ▼b ill. (some col.).
500		▼a Title from e-Book title page.
504		▼a Includes bibliographical references and index.
505	0	▼a Part I Knowledge Graph Foundations & Architecture -- Part II Constructing, Understanding and Consuming Knowledge Graphs -- Part III Industrial Applications and Successful Stories.
520		▼a 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.
530		▼a Issued also as a book.
538		▼a Mode of access: World Wide Web.
650	0	▼a Knowledge representation (Information theory).
700	1	▼a Pan, Jeff Z.
856	4 0	▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-3-319-45654-6
945		▼a KLPA
991		▼a E-Book(소장)

소장정보

중앙도서관

No.	소장처	청구기호	등록번호	도서상태	반납예정일	예약	서비스
No. 1	소장처 중앙도서관/e-Book 컬렉션/	청구기호 CR 006.332	등록번호 E14018317	도서상태 대출불가(열람가능)	반납예정일	예약	서비스 M

컨텐츠정보

책소개

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.

New feature

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.

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Exploiting linked data and knowledge graphs in large organisations [electronic resource]

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