Preface: First International Workshop on Patent Mining and Its Applications (IPaMin 2014) Hanmin Jung Thomas Mandl Christa Womser- Shuo Xu Korea Institute of Information Science Hacker Information Techno- Science and University of Information Science logy Support Center Technology Hildesheim University of Institute of Scientific Information (KISTI) Marienburger Platz 22 Hildesheim and Technical 245 Daehak-ro, Germany Marienburger Platz 22 Information of China Yuseong-gu, Daejeon, mandl@uni- Germany (ISTIC) 305-806, Korea hildesheim.de womser@uni- China jhm@kisti.re.kr hildesheim.de xush@istic.ac.cn 1. MOTIVATION The importance of exploiting knowledge in patents is constantly increasing. A large percentage of the most recent 2. WORKSHOP SCOPE The topics of the workshop include but were not limited to technical knowledge is only available in patent documents. the following: Patent mining and the automatic analysis of large numbers of patents are necessary to identify trends in research and  Patent Analytics development. Applications include the identification of potential areas of investment, avoiding duplicating efforts, competitor  Information extraction from patents analysis, and patent landscape mapping.  Modeling of patent documents Advanced methods in information technology bear much  Temporal modelling based on patents potential for improving access to patents and to gain knowledge form patents.  Trend mining This workshop wants to identify current innovative research in  Prescriptive Analytics patent mining and build a map of research and needs. Another topic will be the discussion about evaluation approaches to patent  Approaches to deal with patent terminology mining. Several important initiatives have dealt with information  Visualization to support human mining tasks retrieval from patents (NTCIR, CLEF-IP, TREC Chem). However, there are few benchmarks for evaluating applications  User interfaces for patent mining with vaguely defined goals as involved in patent mining.  Issues on developing benchmarks for patent mining Some of the basic assumptions for information retrieval and text  Lifecycle models of technology applied to mining mining need to be revisited for patent mining. Due to the nature approaches of patent documents, innovative approaches need to be taken for automatic analysis of patents and in general for big data analytics  Advanced Information Retrieval Approaches using of scientific content. Patent Analytics  Large scale big data analytics on scientific texts which could be applied to patents  Innovative products for patent mining  Complex Event Processing Copyright © 2014 for the individual papers by the papers' authors. Copying permitted for private and academic purposes.  Data management for patent mining This volume is published and copyrighted by its editors. Published at CEUR-WS.org  Applications based on data mining and analytics Proceedings of the 1st International Workshop on Patent Mining and Its Applications (IPaMin 2014). Hildesheim, Oct. 7, 2014. At KONVENS 2014, Oct. 8.-10, 2014, Hildesheim, Germany. 3. ORGANISATION  Myunggwon Hwang, Korea Insititute of Science and The International Workshop on Patent Mining was a Satellite Technology Information (KISTI), Daejon, Korea Event of KONVENS, the Conference on Natural Language  Taehong Kim, Korea Insititute of Science and Processing ("Konferenz zur Verarbeitung Natürlicher Sprache"). Technology Information (KISTI), Daejon, Korea KONVENS seeks to offer a broad perspective on current research  Steffen Koch, University of Stuttgart, Germany and developments within the interdisciplinary field of natural language processing. It provides a forum for researchers from all  Johannes Leveling, CNGL, Dublin City University disciplines relevant to this field of research to present their work: (DCU), Ireland http://www.uni-hildesheim.de/konvens2014  Yiao Liu, Institute of Scientific and Technical The next IPAMIn workshop will take place in Asia in 2015. Information of China (ISTIC), China Further events are planned.  Steffen Lohmann, University of Stuttgart, Germany  Florina Piroi, Vienna University of Technology, ISIS, IFS, Austria 4. ACKNOWLEDGEMENTS  Shunji Shimizu, Department of Electrical Systems, We greatly acknowledge the efforts of the members of the Tokyo University of Science, Japan programme committee, namely:  Sa-kwang Song, Korean Institute of Science and  Norbert Fuhr, University of Duisburg-Essen, Technology Information (KISTI), Daejon, Korea Germany  Michael Schwantner, FIZ Karlsruhe – Leibniz Institute  Yongping Du, Beijing University of Technology, China for Information Infrastructure, Germany  Sung Pil Choi, Department of Library and Information  Seungwoo Lee, Korean Institute of Science and Science, Kyonggi University, Korea Technology Information (KISTI), Daejon, Korea  In-Su Kang, Kyungsung University, Busan, Korea  Yunliang Zhang, Institute of Scientific and Technical  Jie Gui, Institute of Scientific and Technical Information of China (ISTIC), Beijing, China Information of China (ISTIC), Beijing, China  Junsheng Zhang, Institute of Scientific and Technical  Rene Hackl-Sommer, FIZ Karlsruhe – Leibniz Institute Information of China (ISTIC), Beijing, China for Information Infrastructure, Germany  Lijun Zhu, Institute of Scientific and Technical Information of China (ISTIC), Beijing, China