Designing and Building Enterprise Knowledge Graphs (設計與建構企業知識圖譜)

Juan Sequeda , Ora Lassila

  • 出版商: Morgan & Claypool
  • 出版日期: 2021-08-05
  • 售價: $2,800
  • 貴賓價: 9.5$2,660
  • 語言: 英文
  • 頁數: 168
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1636391745
  • ISBN-13: 9781636391748
  • 相關分類: Text-mining
  • 立即出貨 (庫存=1)

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商品描述

This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice. It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies.

Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge.

In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean? This book provides the answers.

商品描述(中文翻譯)

本書是一本實踐中設計和建立知識圖譜的指南,重點在於將企業關聯式數據庫與知識圖譜相連接的映射模式,以及負責知識圖譜的組織角色和結合數據和人員的流程的原則性框架。本書的內容適用於使用屬性圖或RDF圖技術構建的知識圖譜。

知識圖譜正在實現創建智能系統的願景,這些系統可以在大規模上集成知識和數據。科技巨頭已經採用知識圖譜作為下一代企業數據和元數據管理、搜索、推薦、分析、智能代理等基礎。我們現在觀察到越來越多的企業正在尋求採用知識圖譜來獲得競爭優勢。

為了使企業能夠設計和建立知識圖譜,他們需要了解存儲在關聯式數據庫中的關鍵數據。企業如何成功地採用知識圖譜來集成數據和知識,而不會讓事情變得太複雜?本書提供了答案。

作者簡介

Juan Sequeda is the Principal Scientist at data.world. He joined through the acquisition of Capsenta, a company he founded as a spin-off from his research. Juan's goal is to reliably create knowledge from inscrutable data. His academic and industry work has been on designing and building knowledge graphs for enterprise data integration where he has researched and developed technologies for semantic and graph data virtualization, ontology and graph data modeling and schema mapping, and data integration methodologies. Juan serves as a bridge between academia and industry through standardization committees, like serving as the co-chair of the Property Graph Schema Working Group and a past member of the Graph Query Languages task force of the Linked Data Benchmark Council (LDBC), as well as a past invited expert member and standards editor at the World Wide Web Consortium (W3C).

Juan holds a Ph.D. in Computer Science from The University of Texas at Austin. He is the recipient of the NSF Graduate Research Fellowship, 2nd place in the 2013 Semantic Web Challenge for his work on ConstituteProject.org, Best Student Research Paper at International Semantic Web Conference 2014, and the 2015 Best Transfer and Innovation Project awarded by the Institute for Applied Informatics.


 

Ora Lassila is a Principal Graph Technolgist in the Amazon Neptune graph database team. Earlier, he was a Managing Director at State Street, heading efforts to adopt ontologies and graph databases. Before that, he worked as a technology architect at Pegasystems, as an architect and technology strategist at Nokia Location & Commerce (later renamed HERE), and prior to that as a Research Fellow at the Nokia Research Center. He was an elected member of the Advisory Board of the World Wide Web Consortium (W3C) in 1998-2013, and represented Nokia in the W3C Advisory Committee in 1998-2002. In 1996-1997 he was a Visiting Scientist at MIT Laboratory for Computer Science, working with W3C and launching the Resource Description Framework (RDF) standard; he served as a co-editor of the original RDF Model and Syntax specification. Much of his research work at the Nokia Research Center focused on the Semantic Web and particularly its applications to mobile and ubiquitous computing. He collaborated with several U.S. universities, and was an active participant in the DARPA Agent Markup Language (DAML) program.

作者簡介(中文翻譯)

Juan Sequeda是data.world的首席科學家。他通過Capsenta的收購加入了該公司,Capsenta是他從研究中創立的一家公司。Juan的目標是從難以理解的數據中可靠地創建知識。他在學術界和工業界的工作主要集中在設計和構建企業數據集成的知識圖形上,他在該領域研究和開發了語義和圖形數據虛擬化、本體和圖形數據建模和模式映射以及數據集成方法論等技術。Juan通過標準化委員會在學術界和工業界之間搭建了橋樑,例如擔任Property Graph Schema Working Group的聯合主席,以及Linked Data Benchmark Council (LDBC)的Graph Query Languages task force的成員和World Wide Web Consortium (W3C)的邀請專家成員和標準編輯。

Juan擁有德克薩斯大學奧斯汀分校的計算機科學博士學位。他曾獲得NSF研究生研究獎學金、2013年語義網挑戰賽第二名(因其在ConstituteProject.org上的工作)、2014年國際語義網會議最佳學生研究論文獎以及2015年應用信息學研究所頒發的最佳轉移和創新項目獎。

Ora Lassila是亞馬遜海王星圖形數據庫團隊的首席圖形技術專家。在此之前,他曾是State Street的董事總經理,負責採用本體論和圖形數據庫。在此之前,他曾在Pegasystems擔任技術架構師,在Nokia Location & Commerce(後來更名為HERE)擔任架構師和技術策略師,以及在Nokia研究中心擔任研究員。他曾當選為1998年至2013年世界廣泛網絡聯盟(W3C)的諮詢委員會成員,並在1998年至2002年代表Nokia參加W3C諮詢委員會。在1996年至1997年期間,他曾在麻省理工學院計算機科學實驗室擔任訪問科學家,與W3C合作並推出了資源描述框架(RDF)標準;他曾擔任原始RDF模型和語法規範的聯合編輯。他在Nokia研究中心的許多研究工作都集中在語義網和特別是其在移動和普遍計算中的應用上。他與幾所美國大學合作,並是DARPA代理人標記語言(DAML)計劃的積極參與者。