A cooperative multi-agent platform for invention based on patent document analysis and ontology

Soo, Von-Wun; Lin, Szu-Yin; Yang, Shih-Yao; Lin, Shih-Neng; Cheng, Shian-Luen

doi:10.1016/j.eswa.2006.01.014

Cited by 71 publications

(40 citation statements)

References 8 publications

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“…Due to the large amounts of unstructured information available online, such techniques need to be made more efficient. 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].…”

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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“…Delen et al [4] designed and developed an intelligent decision support system for manufacturing to improve decision-making by managers for increasingly complex problem scenarios. Soo et al [5] presented a cooperative multi-agent platform to help industrial knowledge managers retrieve and analyze existing patent documents, and extract structured information from patents with the aid of ontology and natural language processing techniques. Hamdi [6] proposed a multi-agent customization system based on machine learning mechanism for web mining.…”

Section: Related Workmentioning

confidence: 99%

Ontology-based computational intelligent multi-agent and its application to CMMI assessment

Lee

Wang

2007

Appl Intell

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This study presents an ontology-based computational intelligent multi-agent system for Capability Maturity Model Integration (CMMI) assessment. An ontology model is developed to represent the CMMI domain knowledge that will be adopted by the computational intelligent multi-agent. The CMMI ontology is predefined by domain experts, and created by the ontology generating system. The computational intelligent multi-agent comprises a natural language processing agent, an ontological reasoning agent and a summary agent. The multi-agent deals with the evaluation reports from the natural language processing agent, infers the term relation strength between the ontology and the evaluation report, and then summarizes the main sentences of the evaluation report. The summary reports are meanwhile transmitted back to the domain expert, which makes the domain expert further adjust the CMMI ontology. Experimental results indicate that the ontology-based computational intelligent multi-agent can effectively summarize the evaluation reports for the CMMI assessment.

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“…A bio-specific patent retrieval engine that makes use of domain specific annotations is described in [13]. Several other techniques are based on ontologies and semantic web approaches [2], [4]- [6], [10], [11], [17], [18], [21], [24]. Information retrieval methods for case laws are presented in [7] and [14].…”

Section: Related Workmentioning

confidence: 99%

Developing a Comprehensive Patent Related Information Retrieval Tool

Taduri

Lau

et al. 2011

J. theor. appl. electron. commer. res.

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In recent years, there has been a massive growth of regulatory and related information available online. This information is distributed across many different domains creating a problem for accessing and managing this data. This paper proposes a framework to access information across two such domains -patents and court cases. The framework is designed to boost the value of a set of patents based on information available in court cases by identifying and cross-referencing mutual information in the two domains. We test our framework by constructing a use case involving the hormone erythropoietin. A corpus of 1150 patents (including 135 closely related patents) and 30 court cases is gathered. Challenges associated with such integration and future plans are briefly discussed.

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A cooperative multi-agent platform for invention based on patent document analysis and ontology

Cited by 71 publications

References 8 publications

An ontology to integrate multiple information domains in the patent system

An ontology to integrate multiple information domains in the patent system

Ontology-based computational intelligent multi-agent and its application to CMMI assessment

Developing a Comprehensive Patent Related Information Retrieval Tool

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