| Title |
Current Challenges in Patent Information Retrieval / edited by Mihai Lupu, Katja Mayer, Noriko Kando, Anthony J. Trippe. |
| Edition |
Second edition 2017. |
| OCLC |
978-3-662-53817-3 |
| ISBN |
9783662538173 |
| ISBN/ISSN |
10.1007/978-3-662-53817-3 doi |
| Publisher |
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2017. |
| Description |
XIII, 455 pages 88 illustrations, 44 illustrations in color. : online resource. |
|
text file PDF rda |
| LC Subject heading/s |
Computer science.
|
|
Information storage and retrieval.
|
|
Text processing (Computer science)
|
|
Application software.
|
|
Commercial law.
|
Other
Subject heading/s |
Computer Science.
|
|
Information Storage and Retrieval.
|
|
Document Preparation and Text Processing.
|
|
Computer Appl. in Administrative Data Processing.
|
|
Commercial Law.
|
| Contents |
Introduction -- Evaluation of Patent Retrieval -- High Recall Search -- Special Topics in Patent Retrieval -- Future. . |
| Summary |
This second edition provides a systematic introduction to the work and views of the emerging patent-search research and innovation communities as well as an overview of what has been achieved and, perhaps even more importantly, of what remains to be achieved. It revises many of the contributions of the first edition and adds a significant number of new ones. The first part Introduction to Patent Searching includes two overview chapters on the peculiarities of patent searching and on contemporary search technology respectively, and thus sets the scene for the subsequent parts. The second part on Evaluating Patent Retrieval then begins with two chapters dedicated to patent evaluation campaigns, followed by two chapters discussing complementary issues from the perspective of patent searchers and from the perspective of related domains, notably legal search. High Recall Search includes four completely new chapters dealing with the issue of finding only the relevant documents in a reasonable time span. The last (and with six papers the largest) part on Special Topics in Patent Information Retrieval covers a large spectrum of research in the patent field, from classification and image processing to translation. Lastly, the book is completed by an outlook on open issues and future research. Several of the chapters have been jointly written by intellectual property and information retrieval experts. However, members of both communities with a background different to that of the primary author have reviewed the chapters, making the book accessible to both the patent search community and to the information retrieval research community. It also not only offers the latest findings for academic researchers, but is also a valuable resource for IP professionals wanting to learn about current IR approaches in the patent domain. |
| Restrictions |
Unlimited user license access. |
|
