research-article

The patents retrieval prototype in the MOLTO project

Authors:

Milen Chechev,

Meritxell Gonzàlez,

Lluís Màrquez,

Cristina España-BonetAuthors Info & Claims

WWW '12 Companion: Proceedings of the 21st International Conference on World Wide Web

Pages 231 - 234

https://doi.org/10.1145/2187980.2188016

Published: 16 April 2012 Publication History

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Abstract

This paper describes the patents retrieval prototype developed within the MOLTO project. The prototype aims to provide a multilingual natural language interface for querying the content of patent documents. The developed system is focused on the biomedical and pharmaceutical domain and includes the translation of the patent claims and abstracts into English, French and German. Aiming at the best retrieval results of the patent information and text content, patent documents are preprocessed and semantically annotated. Then, the annotations are stored and indexed in an OWLIM semantic repository, which contains a patent specific ontology and others from different domains. The prototype, accessible online at http://molto-patents.ontotext.com, presents a multilingual natural language interface to query the retrieval system. In MOLTO, the multilingualism of the queries is addressed by means of the GF Tool, which provides an easy way to build and maintain controlled language grammars for interlingual translation in limited domains. The abstract representation obtained from the GF is used to retrieve both the matched RDF instances and the list of patents semantically related to the user's search criteria. The online interface allows to browse the retrieved patents and shows on the text the semantic annotations that explain the reason why any particular patent has matched the user's criteria.

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Cited By

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Charbel NSallaberry CLaborie SChbeir R(2023)FEED2SEARCH: a framework for hybrid-molecule based semantic searchInternational Journal of General Systems10.1080/03081079.2023.219517352:3(343-383)Online publication date: 24-Apr-2023
https://doi.org/10.1080/03081079.2023.2195173
Zhang LLi LLi T(2015)Patent MiningACM SIGKDD Explorations Newsletter10.1145/2783702.278370416:2(1-19)Online publication date: 21-May-2015
https://dl.acm.org/doi/10.1145/2783702.2783704

Index Terms

The patents retrieval prototype in the MOLTO project
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Information & Contributors

Information

Published In

WWW '12 Companion: Proceedings of the 21st International Conference on World Wide Web

April 2012

1250 pages

ISBN:9781450312301

DOI:10.1145/2187980

General Chairs:
Alain Mille
Université de Lyon, France
,
Fabien Gandon
INRIA, France
,
Jacques Misselis
HP, France
,
Program Chairs:
Michael Rabinovich
Case Western Reserve University, USA
,
Steffen Staab
University of Koblenz-Landau, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 April 2012

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WWW 2012

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Univ. de Lyon

WWW 2012: 21st World Wide Web Conference 2012

April 16 - 20, 2012

Lyon, France

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Cited By

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Charbel NSallaberry CLaborie SChbeir R(2023)FEED2SEARCH: a framework for hybrid-molecule based semantic searchInternational Journal of General Systems10.1080/03081079.2023.219517352:3(343-383)Online publication date: 24-Apr-2023
https://doi.org/10.1080/03081079.2023.2195173
Zhang LLi LLi T(2015)Patent MiningACM SIGKDD Explorations Newsletter10.1145/2783702.278370416:2(1-19)Online publication date: 21-May-2015
https://dl.acm.org/doi/10.1145/2783702.2783704

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Recommendations

Assessing the Impact of Vocabulary Similarity on Multilingual Information Retrieval for Bantu Languages

Software patents: a replication study

Multilingual Information Retrieval Using Machine Translation, Relevance Feedback and Decompounding