03980nam 22006015 450 991016302840332120200705143814.03-319-45654-710.1007/978-3-319-45654-6(CKB)3710000001045309(DE-He213)978-3-319-45654-6(MiAaPQ)EBC4799365(PPN)198872496(EXLCZ)99371000000104530920170202d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierExploiting Linked Data and Knowledge Graphs in Large Organisations /edited by Jeff Z. Pan, Guido Vetere, Jose Manuel Gomez-Perez, Honghan Wu1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (XVIII, 266 p. 59 illus., 44 illus. in color.) 3-319-45652-0 Includes bibliographical references and index.Part I Knowledge Graph Foundations & Architecture -- Part II Constructing, Understanding and Consuming Knowledge Graphs -- Part III Industrial Applications and Successful Stories.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.Artificial intelligenceData miningApplication softwareManagement information systemsArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Business Information Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/522030Artificial intelligence.Data mining.Application software.Management information systems.Artificial Intelligence.Data Mining and Knowledge Discovery.Information Systems Applications (incl. Internet).Business Information Systems.006.3Pan Jeff Zedthttp://id.loc.gov/vocabulary/relators/edtVetere Guidoedthttp://id.loc.gov/vocabulary/relators/edtGomez-Perez Jose Manueledthttp://id.loc.gov/vocabulary/relators/edtWu Honghanedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910163028403321Exploiting Linked Data and Knowledge Graphs in Large Organisations2540312UNINA