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Source: http://www.uni-hildesheim.de/konvens2014/pages/IPaMin%20Call%20for%20Papers.html
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.
Scope
Topics include but are not limited to:
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
The workshop provides a forum for scientific discussion and the exchange of ideas. The workshop wants to attract both practitioners from industry as well as academic researchers. A practical track for the presentation of innovative products, structured information needs or best practice in patent mining are also welcome.
Co-Located Event
The International Workshop on Patent Mining will be 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.
Program Chairs
Hanmin Jung, Korean Institute of Science and Technology Information (KISTI) Korea
Thomas Mandl, University of Hildesheim, Germany
Sa-kwang Song, Korean Institute of Science and Technology Information (KISTI) Korea
Christa Womser-Hacker, University of Hildesheim, Germany
Shuo Xu, Institute of Scientific and Technical Information of China (ISTIC), China
Lijun Zhu, Institute of Scientific and Technical Information of China (ISTIC), China
Deadlines
Submissions 1. July 2014
Notification 1. August 2014
Camera Ready Contributions 30. August 2014
Types of Submissions
Full Papers (6 pages)
Short Papers (2-4 pages): Position papers or work in progress
Demonstration (2 pages): Presentation of systems or prototypes
Submissions need to be made in English and should be in PDF format
Submissions need to follow the ACM format.
Submissions will be accepted via the EasyChair System.
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