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https://ceur-ws.org/Vol-1437/ipamin2015_preface.pdf
Preface: Second International Workshop on Patent Mining and
its Applications (IPaMin 2015)
Lijun Zhu Thomas Mandl Hanmin Jung Shuo Xu
Institute of Scientific and Information Science Korea Institute of Science and Institute of Scientific and
Technical Information of China University of Hildesheim Technology Information Technical Information of China
(ISTIC) Marienburger Platz 22 (KISTI) (ISTIC)
No 5, Fuxing Rd. Haidian Germany 245 aehak-ro,Yuseong-gu, No 5, Fuxing Rd. Haidian
District, Beijing 100038 mandl@unihildesheim.de Daejeon,305-806 District, Beijing 100038
China Korea China
zhulj@istic.ac.cn jhm@kisti.re.kr xush@istic.ac.cn
Trend mining
1. MOTIVATION
The importance of exploiting knowledge in patents is constantly Prescriptive Analytics
increasing. A large percentage of the most recent technical
knowledge is only available in patent documents. Patent mining Approaches to deal with patent terminology
and the automatic analysis of large numbers of patents are Visualization to support human mining tasks
necessary to identify trends in research and development.
Applications include the identification of potential areas of User interfaces for patent mining
investment, avoiding duplicating efforts, competitor analysis, Issues on developing benchmarks for patent mining
patent landscape mapping, intellectual property (IP) risk
management, and so on. Lifecycle models of technology applied to mining
approaches
Advanced methods in information technology bear much potential
for improving access to patents and to gain knowledge form Advanced Information Retrieval Approaches using Patent
patents. Analytics
This workshop wants to identify current innovative research in Large scale big data analytics on scientific texts which
patent mining and build a map of research and needs. Another could be applied to patents
topic will be the discussion about evaluation approaches to patent
mining. Several important initiatives have dealt with information Innovative products for patent mining
retrieval from patents (NTCIR, CLEF-IP, TREC Chem). However, Complex event processing
there are few benchmarks for evaluating applications with
vaguely defined goals as involved in patent mining. Data management for patent mining
Some of the basic assumptions for information retrieval and text Automatic construction of technical function matrix
mining need to be revisited for patent mining. Due to the nature of
patent documents, innovative approaches need to be taken for Competitor analysis
automatic analysis of patents and in general for big data analytics Applications based on data mining and analytics
of scientific content.
3. ORGANISATION
2. WORKSHOP SCOPE The Second International Workshop on Patent Mining and its
Topics include but are not limited to: Applications is held in Yulong International Hotel, Beijing, China.
Patent Analytics The workshop provides a forum for scientific discussion and the
exchange of ideas. The workshop wants to attract both
Information extraction from patent documents practitioners from industry as well as academic researchers. A
Modelling and representation of patent documents practical track for the presentation of innovative products,
structured information needs or best practice in patent mining are
Temporal modelling based on patents also welcome.
The next IPaMin workshop will take place in Korea in 2016.
Further events are planned.
Copyright © 2015 for the individual papers by the papers' authors.
Copying permitted for private and academic purposes.
This volume is published and copyrighted by its editors.
Published at Ceur-ws.org 4. ACKNOWLEDGMENTS
Proceedings of the Second International Workshop on Patent Mining We greatly acknowledge the efforts of the members of the
and its Applications (IPAMIN). May 27–28, 2015, Beijing, China. programme committee, namely:
Name Organization Country Korean Institute of Science and
Beijing University of Seungwoo Lee Technology Information Korea
Yongping Du China (KISTI)
Technology
Norbert Fuhr University of Duisburg-Essen Germany Johannes CNGL, Dublin City University
Ireland
Leveling (DCU)
Ying Guo Beijing Institute of Technology China
Steffen
Rene Hackl- University of Stuttgart Germany
FIZ Karlsruhe Germany Lohmann
Sommer
Vienna University of
Institute of Scientific and Florina Piroi Austria
Technology, ISIS, IFS
Hongqi Han Technical Information of China China
(ISTIC) China Patent Information
Zhijun Ren China
Center
China Patent Information
Bin Hong China Michael
Center FIZ Karlsruhe Germany
Schwantner
Korean Institute of Science and
Myunggwon Shunji Shimizu Tokyo University of Science Japan
Technology Information Korea
Hwang
(KISTI) Xuefeng Wang Beijing Institute of Technology China
Sunghae Jun Cheongju University Korea Institute of Scientific and
Yunliang
In-Su Kang Kyungsung University Korea Technical Information of China China
Zhang
(ISTIC)
Korean Institute of Science and
Taehong Kim Technology Information Korea Institute of Scientific and
Junsheng
(KISTI) Technical Information of China China
Zhang
(ISTIC)
Steffen Koch Universität Stuttgart Germany