Linked Enterprise Data
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Linking Enterprise Data
Author: David Wood
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-11-10
Enterprise data is growing at a much faster rate than traditional technologies allow. New enterprise architectures combining existing technologies are desperately needed. This book suggests a way forward by applying new techniques of the World Wide Web to enterprise information systems. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web and Linked Data research, standards development and adoption. Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. This book is divided into four sections: Benefits of applying Linked Data principles in enterprise settings, enterprise approval and support of Linked Data projects, specific Linked Data techniques and a number of real-world success stories from early enterprise adopters. Linking Enterprise Data targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems. Computer science graduate students and researchers focusing on enterprise information integration will also benefit.
Big, Open and Linked Data
This book examines the recent evolution of the concept of data as an economic and managerial phenomenon. The author first describes and discusses open data and then introduces the concept of linked data, with a focus on assets for reuse. Furthermore, he addresses the main challenges of big data. Value is identified as the main incentive for the adoption of linked data; accordingly, the next two chapters study sources of data value from a macroeconomic and micro economic perspective, respectively. This contributes to the systematization of important issues at the crossroads of enterprise data and data sharing: data ownership, personal data, and data privacy. In turn, the book reveals the role of innovation as a main vehicle for creating value by unifying big, open, and linked data. It studies the ways in which value can be created, transferred, and captured in the form of business models, before the closing chapter verifies the data unification model by combining open and linked geographical data with big data from a major telecom company.
Linked Enterprise Data
Author: Tassilo Pellegrini
language: de
Publisher: Springer-Verlag
Release Date: 2014-10-30
Betriebliches Informations- und Wissensmanagement steht zunehmend vor der Herausforderung verteilte Datenbestände zusammenzuführen und sinnvoll zu vernetzen. Hierbei gewinnen vor allem Semantic Web Technologien und darauf basierende Dienste an Bedeutung. Sie unterstützen die Herstellung vernetzter Wissensbasen und vereinfachen den Zugriff auf und die Veröffentlichung von verteilt vorliegenden Datensätzen sowohl innerhalb als auch außerhalb der Unternehmensgrenzen. Unter dem Begriff „Linked Enterprise Data“ demonstriert der vorliegende Band, wie Semantic Web Technologien in einer Organisation sinnvoll zum Einsatz gebracht werden können, um Mehrwert aus bestehenden Informationsbeständen zu generieren und die Fülle an qualitativ hochwertigen Datenquellen im World Wide Web für Produkt- und Service-Innovationen zu nutzen.