Towards content-oriented patent document processing

Wanner, Leo; Baeza-Yates, Ricardo; Brügmann, Sören; Codina, Josep; Diallo, Barrou; Escorsa, Enric; Giereth, Mark; Kompatsiaris, Ioannis; Papadopoulos, Symeon; Pianta, Emanuele; Piella, Gemma; Puhlmann, Ingo; Rao, Gautam; Rotard, Martin; Schoester, Pia; Serafini, Luciano; Zervaki, Vasiliki

doi:10.1016/j.wpi.2007.03.008

Cited by 73 publications

(37 citation statements)

References 13 publications

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“…Several information retrieval methods have made use of domain specific ontologies such as bio ontologies to capture domain knowledge and in turn enhance retrieval [1], [3], [9], [10], [13]. Specifically related to the domain of patent documents, the PATEXPERT project has developed an ontology for the patent domain which focuses on the European patent system [4], [5], [11]. However, these methodologies focus on a single domain of knowledge, and hence are not applicable to a larger set of heterogeneous domains.…”

Section: B Related Workmentioning

confidence: 99%

An ontology to integrate multiple information domains in the patent system

Taduri

Lau

Law

et al. 2011

2011 IEEE International Symposium on Technology and Society (ISTAS)

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Abstract-In recent years, there has been an explosive growth in scientific and regulatory documents related to the patent system. Relevant information is siloed into many heterogeneous information domains making it very challenging to retrieve information across multiple domains. In this paper, we develop an ontology for the patent system to integrate information from the patent and court case domains. Through a use case erythropoietin, we demonstrate how this ontology can be used to enhance information retrieval across multiple domains.

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Section: B Related Workmentioning

confidence: 99%

An ontology to integrate multiple information domains in the patent system

Taduri

Lau

Law

et al. 2011

2011 IEEE International Symposium on Technology and Society (ISTAS)

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“…Many existing methods attempt to improve IR within a single information source [9,12,14,16,26,27,30,31]. However, these questions cannot be answered from any single information source.…”

Section: Background and Motivationmentioning

confidence: 99%

A patent system ontology for facilitating retrieval of patent related information

Taduri

Lau

Law

et al. 2012

Proceedings of the 6th International Conference on Theory and Practice of Electronic Governance

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The recent years have seen a tremendous growth in research and developments in science and technology, and an emphasis in obtaining Intellectual Property (IP) protection for one's innovations. Information pertaining to IP for science and technology is siloed into many diverse sources and consists of laws, regulations, patents, court litigations, scientific publications, and more. Although a great deal of legal and scientific information is now available online, the scattered distribution of the information, combined with the enormous sizes and complexities, makes any attempt to gather relevant IP-related information on a specific technology a daunting task. This paper describes a knowledge-based software framework to facilitate retrieval of patents and related information across multiple diverse and uncoordinated information sources in the US patent system. The document corpus covers issued US patents, court litigations, scientific publications, and patent file wrappers in the biomedical technology domain.

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“…This step involves parsing the description, with the aim of finding a concept which represents the image category. Detected concepts are taken from the patent figures ontology (Figure 5), which provides a formal structure of the figure categories [21]. The main parent concept is Figure, which is considered as a special kind of image which is found in patent documents.…”

Section: Visual and Textual Metadata Extraction And Indexingmentioning

confidence: 99%

Towards content-based patent image retrieval: A framework perspective

Vrochidis

Papadopoulos

Moumtzidou

et al. 2010

World Patent Information

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In this article, we discuss the potential benefits, the requirements and the challenges involved in patent image retrieval and subsequently, we propose a framework that encompasses advanced image analysis and indexing techniques to address the need for content-based patent image search and retrieval. The proposed framework involves the application of document image pre-processing, image feature and textual metadata extraction in order to support effectively content-based image retrieval in the patent domain. To evaluate the capabilities of our proposal, we implemented a patent image search engine. Results based on a series of interaction modes, comparison with existing systems and a quantitative evaluation of our engine provide evidence that image processing and indexing technologies are currently mature to be integrated in real-world patent retrieval applications.

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Towards content-oriented patent document processing

Cited by 73 publications

References 13 publications

An ontology to integrate multiple information domains in the patent system

An ontology to integrate multiple information domains in the patent system

A patent system ontology for facilitating retrieval of patent related information

Towards content-based patent image retrieval: A framework perspective

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