| Exploiting Linked Data and Knowledge Graphs in Large Organisations 2017 Edition Contributor(s): Pan, Jeff Z. (Editor), Vetere, Guido (Editor), Gomez-Perez, Jose Manuel (Editor) |
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ISBN: 3319456520 ISBN-13: 9783319456522 Publisher: Springer OUR PRICE: $189.99 Product Type: Hardcover - Other Formats Published: February 2017 |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | Databases - Data Mining - Computers | Enterprise Applications - Business Intelligence Tools |
| Dewey: 005.7 |
| Physical Information: 0.69" H x 6.14" W x 9.21" (1.27 lbs) 266 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |