Knowledge Graphs: Methodology, Tools and Selected Use Cases
暫譯: 知識圖譜：方法論、工具與選定案例

Fensel, Dieter, Şimşek, Umutcan, Angele, Kevin

Knowledge Graphs: Methodology, Tools and Selected Use Cases

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商品描述

This book describes methods and tools that empower information providers to build and maintain knowledge graphs, including those for manual, semi-automatic, and automatic construction; implementation; and validation and verification of semantic annotations and their integration into knowledge graphs. It also presents lifecycle-based approaches for semi-automatic and automatic curation of these graphs, such as approaches for assessment, error correction, and enrichment of knowledge graphs with other static and dynamic resources.
Chapter 1 defines knowledge graphs, focusing on the impact of various approaches rather than mathematical precision. Chapter 2 details how knowledge graphs are built, implemented, maintained, and deployed. Chapter 3 then introduces relevant application layers that can be built on top of such knowledge graphs, and explains how inference can be used to define views on such graphs, making it a useful resource for open and service-oriented dialog systems. Chapter 4 discusses applications of knowledge graph technologies for e-tourism and use cases for other verticals. Lastly, Chapter 5 provides a summary and sketches directions for future work. The additional appendix introduces an abstract syntax and semantics for domain specifications that are used to adapt schema.org to specific domains and tasks.
To illustrate the practical use of the approaches presented, the book discusses several pilots with a focus on conversational interfaces, describing how to exploit knowledge graphs for e-marketing and e-commerce. It is intended for advanced professionals and researchers requiring a brief introduction to knowledge graphs and their implementation.

 

商品描述(中文翻譯)

本書描述了使資訊提供者能夠建立和維護知識圖譜的方法和工具，包括手動、半自動和自動構建；實施；以及語義註釋的驗證和確認及其與知識圖譜的整合。它還提出了基於生命週期的方法，用於這些圖譜的半自動和自動策展，例如評估、錯誤修正和利用其他靜態和動態資源來豐富知識圖譜的方法。

第一章定義了知識圖譜，重點在於各種方法的影響，而非數學精確性。第二章詳細說明了知識圖譜的構建、實施、維護和部署。第三章介紹了可以建立在這些知識圖譜之上的相關應用層，並解釋了如何利用推理來定義這些圖譜的視圖，使其成為開放和服務導向對話系統的有用資源。第四章討論了知識圖譜技術在電子旅遊中的應用及其他垂直領域的使用案例。最後，第五章提供了總結並勾勒未來工作的方向。附錄部分介紹了一種抽象語法和語義，用於將 schema.org 調整到特定領域和任務。

為了說明所提出方法的實際應用，本書討論了幾個以對話介面為重點的試點，描述了如何利用知識圖譜進行電子行銷和電子商務。該書旨在為需要簡要介紹知識圖譜及其實施的高級專業人士和研究人員提供參考。

作者簡介

Dieter Fensel is the director of the STI Innsbruck research group at the University of Innsbruck's Department of Computer Science. He has written over 300 scientific publications, including books, journals and conference papers, and workshop contributions. As one of the pioneers of research in the Semantic Web, he co-founded major scientific events such as the Extended Semantic Web Conference (ESWC) and the International Semantic Web Conference (ISWC). His research interests currently focus on the development of knowledge graphs and various aspects of the knowledge graph lifecycle. He has successfully applied his research in industry by co-founding companies like seekda (now part of Kognitiv) and Onlim, which are active in conversational interfaces and knowledge graphs. The book has been co-authored under his guidance, by his team of researchers at STI Innsbruck (Kevin Angele, Elwin Huaman, Elias Kärle, Oleksandra Panasiuk and Umutcan Şimşek) and Onlim GmbH (Alexander Wahler, Jürgen Umbrich and Ioan Toma).

 

作者簡介(中文翻譯)

Dieter Fensel 是因斯布魯克大學計算機科學系 STI Innsbruck 研究小組的主任。他已發表超過 300 篇科學出版物，包括書籍、期刊、會議論文和工作坊貢獻。作為語義網研究的先驅之一，他共同創辦了多個重要的科學活動，如擴展語義網會議 (Extended Semantic Web Conference, ESWC) 和國際語義網會議 (International Semantic Web Conference, ISWC)。他目前的研究興趣集中在知識圖譜的開發及其生命周期的各個方面。他成功地將其研究應用於產業，並共同創辦了如 seekda（現為 Kognitiv 的一部分）和 Onlim 等公司，這些公司專注於對話介面和知識圖譜。本書在他的指導下，由 STI Innsbruck 的研究團隊（Kevin Angele、Elwin Huaman、Elias Kärle、Oleksandra Panasiuk 和 Umutcan Şimşek）以及 Onlim GmbH（Alexander Wahler、Jürgen Umbrich 和 Ioan Toma）共同撰寫。

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