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