INFORMATION RETRIEVAL - SPECIAL ISSUE
on
INFORMATION RETRIEVAL IN THE INTELLECTUAL PROPERTY DOMAIN
=== Deadline Extension / Final CALL FOR PAPERS ===
https://sites.google.com/site/sipatentir
IMPORTANT DATES
* NEW : Submissions due: 22 March 2013
* Reviewer feedback to authors: 15 May 2013
* Revised submissions due: 30 June 2013
* Notification of acceptance and final reviewer feedback: 31 August 2013
* Final submissions due: 30 September 2013
GUEST EDITORS
* Allan Hanbury, Vienna University of Technology, Austria
* Mihai Lupu, Vienna University of Technology, Austria
* Noriko Kando, National Institute of Informatics, Japan
* Barrou Diallo, European Patent Office, The Netherlands
* Stephen Adams, Magister Limited, UK
== SCOPE ==
Patent retrieval and intellectual property specialists in the 21st century face many challenges. They
must search very large numbers of documents in multiple languages, expressing complex
technological concepts through sophisticated legal clauses. Despite a great deal of theoretical
development in Information Retrieval techniques and Machine Translation approaches, advanced
search tools for patent professionals are still in their infancy.
Information Retrieval in the Intellectual Property domain is a cross cutting research area as it
contains domains such as multilingual information retrieval, image retrieval, language processing,
and text categorisation, clustering and mining. The main goal of the proposed special issue is to
present cutting-edge research results on open topics related to Information Retrieval in the
Intellectual Property domain in order to advance the current state-of-the-art.
Contributions are solicited in the following areas with application to the intellectual property
domain:
* Semantic annotation of patents
* Patent claim analysis
* Ontology engineering and ontology-based retrieval
* Corpus analysis
* Linguistic analysis
* Patent categorization
* Clustering and visualization
* Patent image search
* Bibliographic search, network analysis
* Machine translation
* Cross-lingual information retrieval
* Large-scale information retrieval experiments
* Parallel and distributed information retrieval
* Ranking strategies
* Query validation and query quality analysis
* Query expansion
* Interactive retrieval
* Session-based information retrieval
* User modelling
* Handling of noisy data (OCR/spelling/typing errors)
* XML retrieval
* Digital libraries for patent literature
* Case studies
* Challenges in patent search
* Information needs of the patent searcher
== DATASETS ==
In order to promote comparability of experimental results, it is encouraged that authors make use of
the following datasets, as well as the queries and relevance judgements available for these datasets:
* CLEF-IP 2011/2012 dataset
* TREC-CHEM 2011 dataset
* NTCIR patent test collections for patent IR, classification, mining and MT test
All of the above collections are available for research purposes.
== SUBMISSION ==
Papers should be appropriate for journal publication. Submissions should follow the guidelines set
out by the Information Retrieval journal.
Detailed submission instructions will be on the special issue website (see below).
All papers submitted to the special issue will be reviewed by at least 3 reviewers. Papers will appear
online on the Springer journal website soon after they are accepted.
== FURTHER INFORMATION ==
The latest information about the special issue can be found on the following website:
https://sites.google.com/site/sipatentir
== CONTACT ==
Please address all correspondence concerning this special issue to:
Dr. Allan Hanbury
Institute of Software Technology and Interactive Systems
Vienna University of Technology
Favoritenstr. 9-11/188
1040 Vienna, Austria
E-mail: [log in to unmask]
Tel: +43 1 58801 188310
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