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Preface: First International Workshop on Patent Mining and Its Applications (IPaMin 2014)

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Preface: First International Workshop on Patent Mining and Its Applications (IPaMin 2014)

Hanmin Jung

Korea Institute of Science and

Technology Information (KISTI)

245 Daehak-ro, Yuseong-gu, Daejeon,

305-806, Korea

jhm@kisti.re.kr

Thomas Mandl

Information Science University of

Hildesheim Marienburger Platz 22

Germany

mandl@uni- hildesheim.de

Christa Womser- Hacker

Information Science University of

Hildesheim Marienburger Platz 22

Germany

womser@uni- hildesheim.de

Shuo Xu

Information Techno- logy Support Center Institute of Scientific

and Technical Information of China

(ISTIC) China

xush@istic.ac.cn

1. MOTIVATION

The importance of exploiting knowledge in patents is constantly increasing. A large percentage of the most recent technical knowledge is only available in patent documents.

Patent mining and the automatic analysis of large numbers of patents are necessary to identify trends in research and development. Applications include the identification of potential areas of investment, avoiding duplicating efforts, competitor analysis, and patent landscape mapping.

Advanced methods in information technology bear much potential for improving access to patents and to gain knowledge form patents.

This workshop wants to identify current innovative research in patent mining and build a map of research and needs. Another topic will be the discussion about evaluation approaches to patent mining. Several important initiatives have dealt with information retrieval from patents (NTCIR, CLEF-IP, TREC Chem).

However, there are few benchmarks for evaluating applications with vaguely defined goals as involved in patent mining.

Some of the basic assumptions for information retrieval and text mining need to be revisited for patent mining. Due to the nature of patent documents, innovative approaches need to be taken for automatic analysis of patents and in general for big data analytics of scientific content.

2. WORKSHOP SCOPE

The topics of the workshop include but were not limited to the following:

 Patent Analytics

 Information extraction from patents

 Modeling of patent documents

 Temporal modelling based on patents

 Trend mining

 Prescriptive Analytics

 Approaches to deal with patent terminology

 Visualization to support human mining tasks

 User interfaces for patent mining

 Issues on developing benchmarks for patent mining

 Lifecycle models of technology applied to mining approaches

 Advanced Information Retrieval Approaches using Patent Analytics

 Large scale big data analytics on scientific texts which could be applied to patents

 Innovative products for patent mining

 Complex Event Processing

 Data management for patent mining

 Applications based on data mining and analytics Copyright © 2014 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

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.

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3. ORGANISATION

The International Workshop on Patent Mining was a Satellite Event of KONVENS, the Conference on Natural Language Processing ("Konferenz zur Verarbeitung Natürlicher Sprache").

KONVENS seeks to offer a broad perspective on current research and developments within the interdisciplinary field of natural language processing. It provides a forum for researchers from all disciplines relevant to this field of research to present their work:

http://www.uni-hildesheim.de/konvens2014

The next IPAMIn workshop will take place in Asia in 2015.

Further events are planned.

4. ACKNOWLEDGEMENTS

We greatly acknowledge the efforts of the members of the programme committee, namely:

 Norbert Fuhr, University of Duisburg-Essen, Germany

 Yongping Du, Beijing University of Technology, China

 Sung Pil Choi, Department of Library and Information Science, Kyonggi University, Korea

 In-Su Kang, Kyungsung University, Busan, Korea

 Jie Gui, Institute of Scientific and Technical Information of China (ISTIC), Beijing, China

 Rene Hackl-Sommer, FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, Germany

 Myunggwon Hwang, Korea Insititute of Science and Technology Information (KISTI), Daejon, Korea

 Taehong Kim, Korea Insititute of Science and Technology Information (KISTI), Daejon, Korea

 Steffen Koch, University of Stuttgart, Germany

 Johannes Leveling, CNGL, Dublin City University (DCU), Ireland

 Yiao Liu, Institute of Scientific and Technical Information of China (ISTIC), China

 Steffen Lohmann, University of Stuttgart, Germany

 Florina Piroi, Vienna University of Technology, ISIS, IFS, Austria

 Shunji Shimizu, Department of Electrical Systems, Tokyo University of Science, Japan

 Sa-kwang Song, Korean Institute of Science and Technology Information (KISTI), Daejon, Korea

 Michael Schwantner, FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, Germany

 Seungwoo Lee, Korean Institute of Science and Technology Information (KISTI), Daejon, Korea

 Yunliang Zhang, Institute of Scientific and Technical Information of China (ISTIC), Beijing, China

 Junsheng Zhang, Institute of Scientific and Technical Information of China (ISTIC), Beijing, China

 Lijun Zhu, Institute of Scientific and Technical Information of China (ISTIC), Beijing, China

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