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dc.contributor.authorBenson, Christopher L.
dc.contributor.authorMagee, Christopher L.
dc.date.accessioned2013-11-21T16:34:57Z
dc.date.available2013-11-21T16:34:57Z
dc.date.issued2012-12
dc.date.submitted2012-08
dc.identifier.issn0138-9130
dc.identifier.issn1588-2861
dc.identifier.urihttp://hdl.handle.net/1721.1/82523
dc.description.abstractThis paper presents a relatively simple, objective and repeatable method for selecting sets of patents that are representative of a specific technological domain. The methodology consists of using search terms to locate the most representative international and US patent classes and determines the overlap of those classes to arrive at the final set of patents. Five different technological fields (computed tomography, solar photovoltaics, wind turbines, electric capacitors, electrochemical batteries) are used to test and demonstrate the proposed method. Comparison against traditional keyword searches and individual patent class searches shows that the method presented in this paper can find a set of patents with more relevance and completeness and no more effort than the other two methods. Follow on procedures to potentially improve the relevancy and completeness for specific domains are also defined and demonstrated. The method is compared to an expertly selected set of patents for an economic domain, and is shown to not be a suitable replacement for that particular use case. The paper also considers potential uses for this methodology and the underlying techniques as well as limitations of the methodology.en_US
dc.description.sponsorshipSUTD-MIT International Design Centeren_US
dc.language.isoen_US
dc.publisherSpringer Science + Business Media B.V.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s11192-012-0930-3en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceProf. Magee via Angie Locknaren_US
dc.titleA hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological fielden_US
dc.typeArticleen_US
dc.identifier.citationBenson, Christopher L., and Christopher L. Magee. “A hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological field.” Scientometrics 96, no. 1 (July 15, 2013): 69-82.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Divisionen_US
dc.contributor.approverMagee, Christopher L.en_US
dc.contributor.mitauthorBenson, Christopher L.en_US
dc.contributor.mitauthorMagee, Christopher L.en_US
dc.relation.journalScientometricsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsBenson, Christopher L.; Magee, Christopher L.en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5316-8358
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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