2017
DOI: 10.1007/s00500-017-2859-1
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Ontology-based GFML agent for patent technology requirement evaluation and recommendation

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Cited by 11 publications
(4 citation statements)
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“…Patent information mining based on domain knowledge comprehensively mines patent technology information by constructing domain knowledge ontology, with the information in the patent text represented by the ontology. However, construction of domain knowledge requires a lot of manual participation, which is time-consuming and labor-intensive [17]. Patent information mining based on vector space models patent information as a vector in order to explore the spatial relationships between vectors, which has the advantage of identifying mature technology [18].…”
Section: Related Work 21 Methods Of Patent Information Miningmentioning
confidence: 99%
“…Patent information mining based on domain knowledge comprehensively mines patent technology information by constructing domain knowledge ontology, with the information in the patent text represented by the ontology. However, construction of domain knowledge requires a lot of manual participation, which is time-consuming and labor-intensive [17]. Patent information mining based on vector space models patent information as a vector in order to explore the spatial relationships between vectors, which has the advantage of identifying mature technology [18].…”
Section: Related Work 21 Methods Of Patent Information Miningmentioning
confidence: 99%
“…Graph-based recommendation gained popularity in recent years with its advantage in integrating rich metadata in patent documents. Lee et al [32] applied an ontology model and genetic fuzzy markup language by investigating the relationship among patent technology, patent owners and patent demanders. Considering the varied entities and relations involved in patent recommendation, researchers adopted heterogeneous network analysis for effective patent recommendation.…”
Section: Related Workmentioning
confidence: 99%
“…This framework provides a reference for accurately evaluating technology quality. Lee [6] proposed a soft computing-based approach to technical assessment, employing fuzzy set theory and genetic algorithms to implement a patent technology evaluation mechanism.…”
Section: Introductionmentioning
confidence: 99%