PerFedPat: An integrated federated system for patent search

Abstract We present PerFedPat, an interactive patent search system based on the federated search approach and the ezDL framework. PerFedPat provides core services to search, using a federated method, multiple online patent resources (currently Espacenet, Google patents, Patentscope and the MAREC collection), thus providing parallel access to multiple patent sources. PerFedPat hides complexity from the end user who uses a common single query tool for querying all patent datasets at the same time. PerFedPat provides cores services such as Boolean and fielded search, merging, grouping and filtering of results, and offers support for query history and search sessions. The second innovative feature of PerFedPat is that it has a pluggable and extensible architecture and it enables the use of multiple search tools which are integrated in PerFedPat. Currently tools are integrated for IPC classification search, faceted navigation, clustering of search results and machine translation of queries. As a result the system is able to provide a rich, personalized information seeking experience for different types of patent searches, potentially exploiting techniques from diverse areas such as distributed information retrieval, semantic search, machine learning and human–computer interaction. The system is available for download from the internet.

[1]  Allan Hanbury,et al.  Patent Retrieval , 2013, Found. Trends Inf. Retr..

[2]  Marcia J. Bates,et al.  Idea tactics , 1980, IEEE Transactions on Professional Communication.

[3]  Norbert Fuhr An infrastructure for supporting the evaluation of interactive information retrieval , 2011, DESIRE '11.

[4]  Norbert Fuhr,et al.  A probability ranking principle for interactive information retrieval , 2008, Information Retrieval.

[5]  Marc Krier,et al.  Automatic categorisation applications at the European patent office , 2002 .

[6]  W. G. Vijvers The international patent classification as a search tool , 1990 .

[7]  Marcia J. Bates,et al.  Information search tactics , 1979, J. Am. Soc. Inf. Sci..

[8]  Norbert Fuhr,et al.  Evaluating different methods of estimating retrieval quality for resource selection , 2003, SIGIR.

[9]  Bernd Wolter It takes all kinds to make a world – Some thoughts on the use of classification in patent searching , 2012 .

[10]  Kristin Whitman Intellogist: An online community dedicated to comparing major patent search systems , 2011 .

[11]  Norbert Fuhr,et al.  ezDL: An Interactive Search and Evaluation System , 2012, OSIR@SIGIR.

[12]  Michail Salampasis Rethinking the Search Experience: What Professional Search Systems Could Do Better? , 2013, MTSR.

[13]  Georgios Paltoglou,et al.  Multilayer Collection Selection and Search of Topically Organized Patents , 2013 .

[14]  Yannis Tzitzikas,et al.  Exploratory Patent Search with Faceted Search and Configurable Entity Mining , 2013 .

[15]  John Tait,et al.  CLEF-IP 2009: Retrieval Experiments in the Intellectual Property Domain , 2009, CLEF.

[16]  Wim Vanderbauwhede,et al.  Search system requirements of patent analysts , 2010, SIGIR '10.

[17]  Eiichiro Sumita,et al.  Overview of the Patent Machine Translation Task at the NTCIR-10 Workshop , 2011, NTCIR.

[18]  Dietmar Dirnberger A guide to efficient keyword, sequence and classification search strategies for biopharmaceutical drug-centric patent landscape searches - A human recombinant insulin patent landscape case study , 2011 .

[19]  Wolfgang G. Stock,et al.  Intellectual property information: A comparative analysis of main information providers , 2006 .

[20]  Ricardo Oltra-Garcia,et al.  Efficient situation specific and adaptive search strategies: Training material for new patent searchers , 2012 .

[21]  Fulvio Corno,et al.  Review of the state-of-the-art in patent information and forthcoming evolutions in intelligent patent informatics , 2010 .

[22]  Luo Si,et al.  A language modeling framework for resource selection and results merging , 2002, CIKM '02.

[23]  Nicholas J. Belkin,et al.  An exploration of the relationships between work task and interactive information search behavior , 2010 .

[24]  Milad Shokouhi,et al.  Federated Search , 2011, Found. Trends Inf. Retr..

[25]  Jacek Gwizdka,et al.  Task and user effects on reading patterns in information search , 2011, Interact. Comput..

[26]  Mihai Lupu The status of retrieval evaluation in the patent domain , 2011, PaIR '11.

[27]  Georgios Paltoglou,et al.  Report on the CLEF-IP 2012 Experiments: Search of Topically Organized Patents , 2012, CLEF.

[28]  Fredric C. Gey,et al.  Experiments on Cross-language and Patent Retrieval at NTCIR-3 Workshop , 2002, NTCIR.

[29]  Stephen Adams Using the International Patent Classification in an online environment , 2000 .

[30]  Pertti Vakkari,et al.  Changes in relevance criteria and problem stages in task performance , 2000, J. Documentation.

[31]  Michael R. Genesereth,et al.  Software agents , 1994, CACM.