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dc.contributor.authorMurphy, Jeremy
dc.contributor.authorOtto, Kevin
dc.contributor.authorJensen, Dan
dc.contributor.authorWood, Kristin
dc.contributor.authorFu, Katherine K
dc.contributor.authorYang, Maria C.
dc.date.accessioned2017-05-22T13:32:23Z
dc.date.available2017-05-22T13:32:23Z
dc.date.issued2014-08
dc.identifier.isbn978-0-7918-4631-5
dc.identifier.urihttp://hdl.handle.net/1721.1/109240
dc.description.abstractDesign-by-analogy is an effective approach to innovative concept generation, but can be elusive at times due to the fact that few methods and tools exist to assist designers in systematically seeking and identifying analogies from general data sources, databases, or repositories, such as patent databases. A new method for extracting analogies from data sources has been developed to provide this capability. Building on past research, we utilize a functional vector space model to quantify analogous similarity between a design problem and the data source of potential analogies. We quantitatively evaluate the functional similarity between represented design problems and, in this case, patent descriptions of products. We develop a complete functional vocabulary to map the patent database to applicable functionally critical terms, using document parsing algorithms to reduce text descriptions of the data sources down to the key functions, and applying Zipf’s law on word count order reduction to reduce the words within the documents. The reduction of a document (in this case a patent) into functional analogous words enables the matching to novel ideas that are functionally similar, which can be customized in various ways. This approach thereby provides relevant sources of design-by-analogy inspiration. Although our implementation of the technique focuses on functional descriptions of patents and the mapping of these functions to those of the design problem, resulting in a set of analogies, we believe that this technique is applicable to other analogy data sources as well. As a verification of the approach, an original design problem for an automated window washer illustrates the distance range of analogical solutions that can be extracted, extending from very near-field, literal solutions to far-field cross-domain analogies. Finally, a comparison with a current patent search tool is performed to draw a contrast to the status quo and evaluate the effectiveness of this work.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (grant number CMMI-0855510)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (grant number CMMI-0855326)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (grant number CMMI-0855293)en_US
dc.description.sponsorshipSUTD-MIT International Design Centre (IDC)en_US
dc.language.isoen_US
dc.publisherAmerican Society of Mechanical Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1115/DETC2014-34491en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAmerican Society of Mechanical Engineers (ASME)en_US
dc.titleFacilitating Design-by-Analogy: Development of a Complete Functional Vocabulary and Functional Vector Approach to Analogical Searchen_US
dc.typeArticleen_US
dc.identifier.citationMurphy, Jeremy, Katherine Fu, Kevin Otto, Maria Yang, Dan Jensen, and Kristin Wood. “Facilitating Design-by-Analogy: Development of a Complete Functional Vocabulary and Functional Vector Approach to Analogical Search.” Volume 2A: 40th Design Automation Conference (August 17, 2014).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.mitauthorFu, Katherine K
dc.contributor.mitauthorYang, Maria
dc.relation.journalVolume 2A: 40th Design Automation Conferenceen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsMurphy, Jeremy; Fu, Katherine; Otto, Kevin; Yang, Maria; Jensen, Dan; Wood, Kristinen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-7776-3423
mit.licensePUBLISHER_POLICYen_US


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