Overlay technology space map for analyzing design knowledge base of a technology domain: the case of hybrid electric vehicles View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-07

AUTHORS

Binyang Song, Bowen Yan, Giorgio Triulzi, Jeffrey Alstott, Jianxi Luo

ABSTRACT

A tangible understanding of the latent design knowledge base of a technology domain, i.e., the set of technologies and related design knowledge used to solve the specific problems of a domain, and how it evolves, can guide engineering design efforts in that domain. However, methods for extracting, analyzing and understanding the structure and evolutionary trajectories of a domain’s accumulated design knowledge base are still underdeveloped. This study introduces a network-based methodology for visualizing and analyzing the structure and expansion trajectories of the design knowledge base of a given technology domain. The methodology is centered on overlaying the total technology space, represented as a network of all known technologies based on patent data, with the specific knowledge positions and estimated expansion paths of a specific domain as a subgraph of the total network. We demonstrate the methodology via a case study of hybrid electric vehicles. The methodology may help designers understand the technology evolution trajectories of their domain and suggest next design opportunities or directions. More... »

PAGES

1-19

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00163-019-00312-w

DOI

http://dx.doi.org/10.1007/s00163-019-00312-w

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112587401


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Singapore University of Technology and Design", 
          "id": "https://www.grid.ac/institutes/grid.263662.5", 
          "name": [
            "Engineering Product Development Pillar, Singapore University of Technology and Design, 8 Somapah Road, 487372, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Song", 
        "givenName": "Binyang", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Singapore University of Technology and Design", 
          "id": "https://www.grid.ac/institutes/grid.263662.5", 
          "name": [
            "Engineering Product Development Pillar, Singapore University of Technology and Design, 8 Somapah Road, 487372, Singapore, Singapore", 
            "SUTD-MIT International Design Centre, 8 Somapah Road, 487372, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yan", 
        "givenName": "Bowen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidad de Los Andes", 
          "id": "https://www.grid.ac/institutes/grid.7247.6", 
          "name": [
            "SUTD-MIT International Design Centre, 8 Somapah Road, 487372, Singapore, Singapore", 
            "School of Management, Universidad de los Andes, Calle 21 #1-20, 110311, Bogot\u00e1, Colombia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Triulzi", 
        "givenName": "Giorgio", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Massachusetts Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.116068.8", 
          "name": [
            "SUTD-MIT International Design Centre, 8 Somapah Road, 487372, Singapore, Singapore", 
            "Massachusetts Institute of Technology, 77 Massachusetts Ave, 02139, Cambridge, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Alstott", 
        "givenName": "Jeffrey", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Singapore University of Technology and Design", 
          "id": "https://www.grid.ac/institutes/grid.263662.5", 
          "name": [
            "Engineering Product Development Pillar, Singapore University of Technology and Design, 8 Somapah Road, 487372, Singapore, Singapore", 
            "SUTD-MIT International Design Centre, 8 Somapah Road, 487372, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Luo", 
        "givenName": "Jianxi", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0167-2681(94)90094-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001502348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/cogs.12127", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006444464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/asi.23146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006734933"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11192-012-0923-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007587606", 
          "https://doi.org/10.1007/s11192-012-0923-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.techfore.2014.09.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010090125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.techfore.2014.09.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010090125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.techfore.2014.09.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010090125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00163-004-0047-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010252430", 
          "https://doi.org/10.1007/s00163-004-0047-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/asi.23664", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012315266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0048-7333(02)00004-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013170426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/asi.4630240406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014058264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/smj.384", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024198006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1024201905", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4471-4081-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024201905", 
          "https://doi.org/10.1007/978-1-4471-4081-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4471-4081-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024201905", 
          "https://doi.org/10.1007/978-1-4471-4081-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00163-014-0186-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024966209", 
          "https://doi.org/10.1007/s00163-014-0186-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.respol.2013.01.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026944524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00343404.2013.854878", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027936667"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1240474", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028974017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0048-7333(00)00135-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029635266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00163-012-0129-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030731321", 
          "https://doi.org/10.1007/s00163-012-0129-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1468-2257.2005.00273.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031142697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.respol.2014.04.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033173578"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/dsj.2015.2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033453885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijhcs.2007.07.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037681787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-19231-9_1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039616907", 
          "https://doi.org/10.1007/978-3-642-19231-9_1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-19231-9_1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039616907", 
          "https://doi.org/10.1007/978-3-642-19231-9_1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11192-016-2107-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039738485", 
          "https://doi.org/10.1007/s11192-016-2107-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11192-016-2107-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039738485", 
          "https://doi.org/10.1007/s11192-016-2107-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jebo.2004.03.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041095454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09654313.2012.755832", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043654637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00163-007-0028-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043759410", 
          "https://doi.org/10.1007/s00163-007-0028-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00163-007-0028-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043759410", 
          "https://doi.org/10.1007/s00163-007-0028-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0048-7333(96)00916-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044289859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00163-008-0043-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051092470", 
          "https://doi.org/10.1007/s00163-008-0043-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00163-008-0043-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051092470", 
          "https://doi.org/10.1007/s00163-008-0043-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1540-5885.2007.00272.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052000809"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0048-7333(82)90016-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054549387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/icc/dtu012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059655454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/5254.846285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061186327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tkde.2005.130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061661380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.4006145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062146476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.4007587", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062147914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.4023158", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062148480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.4023484", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062148803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.4028289", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062153600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mnsc.47.1.117.10671", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064722053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2189/asqu.53.2.333", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069268793"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2189/asqu.53.2.333", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069268793"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3102759", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070198501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/asi.23780", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084008895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.4037613", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091261919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1115/1.4037680", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091274539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/dsj.2017.21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092546613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/hicss.2007.427", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094280387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iccima.2007.40", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094414300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/vast.2009.5333564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095031048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/icdm.2010.108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095751119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2139/ssrn.2709238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102448447"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-07", 
    "datePublishedReg": "2019-03-07", 
    "description": "A tangible understanding of the latent design knowledge base of a technology domain, i.e., the set of technologies and related design knowledge used to solve the specific problems of a domain, and how it evolves, can guide engineering design efforts in that domain. However, methods for extracting, analyzing and understanding the structure and evolutionary trajectories of a domain\u2019s accumulated design knowledge base are still underdeveloped. This study introduces a network-based methodology for visualizing and analyzing the structure and expansion trajectories of the design knowledge base of a given technology domain. The methodology is centered on overlaying the total technology space, represented as a network of all known technologies based on patent data, with the specific knowledge positions and estimated expansion paths of a specific domain as a subgraph of the total network. We demonstrate the methodology via a case study of hybrid electric vehicles. The methodology may help designers understand the technology evolution trajectories of their domain and suggest next design opportunities or directions.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00163-019-00312-w", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1046064", 
        "issn": [
          "0934-9839", 
          "1435-6066"
        ], 
        "name": "Research in Engineering Design", 
        "type": "Periodical"
      }
    ], 
    "name": "Overlay technology space map for analyzing design knowledge base of a technology domain: the case of hybrid electric vehicles", 
    "pagination": "1-19", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "af9e9a6b6c320ee170142f12cfdfe7038a9069e2a1092c571d28608696904749"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00163-019-00312-w"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112587401"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00163-019-00312-w", 
      "https://app.dimensions.ai/details/publication/pub.1112587401"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:17", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000354_0000000354/records_11692_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00163-019-00312-w"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00163-019-00312-w'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00163-019-00312-w'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00163-019-00312-w'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00163-019-00312-w'


 

This table displays all metadata directly associated to this object as RDF triples.

248 TRIPLES      21 PREDICATES      75 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00163-019-00312-w schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Nabe08378de7046ec9160e3af17de3755
4 schema:citation sg:pub.10.1007/978-1-4471-4081-8
5 sg:pub.10.1007/978-3-642-19231-9_1
6 sg:pub.10.1007/s00163-004-0047-7
7 sg:pub.10.1007/s00163-007-0028-8
8 sg:pub.10.1007/s00163-008-0043-4
9 sg:pub.10.1007/s00163-012-0129-x
10 sg:pub.10.1007/s00163-014-0186-4
11 sg:pub.10.1007/s11192-012-0923-2
12 sg:pub.10.1007/s11192-016-2107-y
13 https://app.dimensions.ai/details/publication/pub.1024201905
14 https://doi.org/10.1002/asi.23146
15 https://doi.org/10.1002/asi.23664
16 https://doi.org/10.1002/asi.23780
17 https://doi.org/10.1002/asi.4630240406
18 https://doi.org/10.1002/smj.384
19 https://doi.org/10.1016/0048-7333(82)90016-6
20 https://doi.org/10.1016/0167-2681(94)90094-9
21 https://doi.org/10.1016/j.ijhcs.2007.07.004
22 https://doi.org/10.1016/j.jebo.2004.03.019
23 https://doi.org/10.1016/j.respol.2013.01.006
24 https://doi.org/10.1016/j.respol.2014.04.001
25 https://doi.org/10.1016/j.techfore.2014.09.009
26 https://doi.org/10.1016/s0048-7333(00)00135-9
27 https://doi.org/10.1016/s0048-7333(02)00004-5
28 https://doi.org/10.1016/s0048-7333(96)00916-x
29 https://doi.org/10.1017/dsj.2015.2
30 https://doi.org/10.1017/dsj.2017.21
31 https://doi.org/10.1080/00343404.2013.854878
32 https://doi.org/10.1080/09654313.2012.755832
33 https://doi.org/10.1093/icc/dtu012
34 https://doi.org/10.1109/5254.846285
35 https://doi.org/10.1109/hicss.2007.427
36 https://doi.org/10.1109/iccima.2007.40
37 https://doi.org/10.1109/icdm.2010.108
38 https://doi.org/10.1109/tkde.2005.130
39 https://doi.org/10.1109/vast.2009.5333564
40 https://doi.org/10.1111/cogs.12127
41 https://doi.org/10.1111/j.1468-2257.2005.00273.x
42 https://doi.org/10.1111/j.1540-5885.2007.00272.x
43 https://doi.org/10.1115/1.4006145
44 https://doi.org/10.1115/1.4007587
45 https://doi.org/10.1115/1.4023158
46 https://doi.org/10.1115/1.4023484
47 https://doi.org/10.1115/1.4028289
48 https://doi.org/10.1115/1.4037613
49 https://doi.org/10.1115/1.4037680
50 https://doi.org/10.1126/science.1240474
51 https://doi.org/10.1287/mnsc.47.1.117.10671
52 https://doi.org/10.2139/ssrn.2709238
53 https://doi.org/10.2189/asqu.53.2.333
54 https://doi.org/10.2307/3102759
55 schema:datePublished 2019-03-07
56 schema:datePublishedReg 2019-03-07
57 schema:description A tangible understanding of the latent design knowledge base of a technology domain, i.e., the set of technologies and related design knowledge used to solve the specific problems of a domain, and how it evolves, can guide engineering design efforts in that domain. However, methods for extracting, analyzing and understanding the structure and evolutionary trajectories of a domain’s accumulated design knowledge base are still underdeveloped. This study introduces a network-based methodology for visualizing and analyzing the structure and expansion trajectories of the design knowledge base of a given technology domain. The methodology is centered on overlaying the total technology space, represented as a network of all known technologies based on patent data, with the specific knowledge positions and estimated expansion paths of a specific domain as a subgraph of the total network. We demonstrate the methodology via a case study of hybrid electric vehicles. The methodology may help designers understand the technology evolution trajectories of their domain and suggest next design opportunities or directions.
58 schema:genre research_article
59 schema:inLanguage en
60 schema:isAccessibleForFree false
61 schema:isPartOf sg:journal.1046064
62 schema:name Overlay technology space map for analyzing design knowledge base of a technology domain: the case of hybrid electric vehicles
63 schema:pagination 1-19
64 schema:productId N3352609b2f55418ba84c5ddc3701d258
65 N53c6c9c71fe043f696fb57951f8b8371
66 Ne69e1b84deae46a2b62a3d9c22a521a9
67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112587401
68 https://doi.org/10.1007/s00163-019-00312-w
69 schema:sdDatePublished 2019-04-11T11:17
70 schema:sdLicense https://scigraph.springernature.com/explorer/license/
71 schema:sdPublisher N405b1a918f164322b1d162a932cd6ec4
72 schema:url https://link.springer.com/10.1007%2Fs00163-019-00312-w
73 sgo:license sg:explorer/license/
74 sgo:sdDataset articles
75 rdf:type schema:ScholarlyArticle
76 N162cfc705ce1491180c14699b2d31a4a schema:affiliation https://www.grid.ac/institutes/grid.263662.5
77 schema:familyName Luo
78 schema:givenName Jianxi
79 rdf:type schema:Person
80 N3352609b2f55418ba84c5ddc3701d258 schema:name doi
81 schema:value 10.1007/s00163-019-00312-w
82 rdf:type schema:PropertyValue
83 N405b1a918f164322b1d162a932cd6ec4 schema:name Springer Nature - SN SciGraph project
84 rdf:type schema:Organization
85 N498bc830d48d42d0898ded7b83850220 rdf:first N162cfc705ce1491180c14699b2d31a4a
86 rdf:rest rdf:nil
87 N53c6c9c71fe043f696fb57951f8b8371 schema:name readcube_id
88 schema:value af9e9a6b6c320ee170142f12cfdfe7038a9069e2a1092c571d28608696904749
89 rdf:type schema:PropertyValue
90 N752ab61777d1424ba59ef086e77ae1ea rdf:first N8194fb93c6754a8aa2aa155898545a8c
91 rdf:rest N7dc1f93504ea4b46830f311f0e588001
92 N7dc1f93504ea4b46830f311f0e588001 rdf:first Ndc167896e7d14122bc6b04eb6173fb9f
93 rdf:rest Nbd96ca7527f048689d504a758dd510cd
94 N8194fb93c6754a8aa2aa155898545a8c schema:affiliation https://www.grid.ac/institutes/grid.263662.5
95 schema:familyName Yan
96 schema:givenName Bowen
97 rdf:type schema:Person
98 N8f8840b7041c4ac7b0d852b11ff452b5 schema:affiliation https://www.grid.ac/institutes/grid.116068.8
99 schema:familyName Alstott
100 schema:givenName Jeffrey
101 rdf:type schema:Person
102 Nabe08378de7046ec9160e3af17de3755 rdf:first Ncb5d48dc251740f9b4f664a15439008c
103 rdf:rest N752ab61777d1424ba59ef086e77ae1ea
104 Nbd96ca7527f048689d504a758dd510cd rdf:first N8f8840b7041c4ac7b0d852b11ff452b5
105 rdf:rest N498bc830d48d42d0898ded7b83850220
106 Ncb5d48dc251740f9b4f664a15439008c schema:affiliation https://www.grid.ac/institutes/grid.263662.5
107 schema:familyName Song
108 schema:givenName Binyang
109 rdf:type schema:Person
110 Ndc167896e7d14122bc6b04eb6173fb9f schema:affiliation https://www.grid.ac/institutes/grid.7247.6
111 schema:familyName Triulzi
112 schema:givenName Giorgio
113 rdf:type schema:Person
114 Ne69e1b84deae46a2b62a3d9c22a521a9 schema:name dimensions_id
115 schema:value pub.1112587401
116 rdf:type schema:PropertyValue
117 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
118 schema:name Information and Computing Sciences
119 rdf:type schema:DefinedTerm
120 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
121 schema:name Artificial Intelligence and Image Processing
122 rdf:type schema:DefinedTerm
123 sg:journal.1046064 schema:issn 0934-9839
124 1435-6066
125 schema:name Research in Engineering Design
126 rdf:type schema:Periodical
127 sg:pub.10.1007/978-1-4471-4081-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024201905
128 https://doi.org/10.1007/978-1-4471-4081-8
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/978-3-642-19231-9_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039616907
131 https://doi.org/10.1007/978-3-642-19231-9_1
132 rdf:type schema:CreativeWork
133 sg:pub.10.1007/s00163-004-0047-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010252430
134 https://doi.org/10.1007/s00163-004-0047-7
135 rdf:type schema:CreativeWork
136 sg:pub.10.1007/s00163-007-0028-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043759410
137 https://doi.org/10.1007/s00163-007-0028-8
138 rdf:type schema:CreativeWork
139 sg:pub.10.1007/s00163-008-0043-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051092470
140 https://doi.org/10.1007/s00163-008-0043-4
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/s00163-012-0129-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030731321
143 https://doi.org/10.1007/s00163-012-0129-x
144 rdf:type schema:CreativeWork
145 sg:pub.10.1007/s00163-014-0186-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024966209
146 https://doi.org/10.1007/s00163-014-0186-4
147 rdf:type schema:CreativeWork
148 sg:pub.10.1007/s11192-012-0923-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007587606
149 https://doi.org/10.1007/s11192-012-0923-2
150 rdf:type schema:CreativeWork
151 sg:pub.10.1007/s11192-016-2107-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1039738485
152 https://doi.org/10.1007/s11192-016-2107-y
153 rdf:type schema:CreativeWork
154 https://app.dimensions.ai/details/publication/pub.1024201905 schema:CreativeWork
155 https://doi.org/10.1002/asi.23146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006734933
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1002/asi.23664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012315266
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1002/asi.23780 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084008895
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1002/asi.4630240406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014058264
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1002/smj.384 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024198006
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/0048-7333(82)90016-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054549387
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/0167-2681(94)90094-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001502348
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.ijhcs.2007.07.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037681787
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.jebo.2004.03.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041095454
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.respol.2013.01.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026944524
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.respol.2014.04.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033173578
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.techfore.2014.09.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010090125
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/s0048-7333(00)00135-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029635266
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/s0048-7333(02)00004-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013170426
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/s0048-7333(96)00916-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044289859
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1017/dsj.2015.2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033453885
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1017/dsj.2017.21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092546613
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1080/00343404.2013.854878 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027936667
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1080/09654313.2012.755832 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043654637
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1093/icc/dtu012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059655454
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1109/5254.846285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061186327
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1109/hicss.2007.427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094280387
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1109/iccima.2007.40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094414300
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1109/icdm.2010.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095751119
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1109/tkde.2005.130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061661380
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1109/vast.2009.5333564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095031048
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1111/cogs.12127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006444464
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1111/j.1468-2257.2005.00273.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031142697
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1111/j.1540-5885.2007.00272.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052000809
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1115/1.4006145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062146476
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1115/1.4007587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062147914
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1115/1.4023158 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062148480
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1115/1.4023484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062148803
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1115/1.4028289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062153600
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1115/1.4037613 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091261919
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1115/1.4037680 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091274539
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1126/science.1240474 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028974017
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1287/mnsc.47.1.117.10671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064722053
230 rdf:type schema:CreativeWork
231 https://doi.org/10.2139/ssrn.2709238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102448447
232 rdf:type schema:CreativeWork
233 https://doi.org/10.2189/asqu.53.2.333 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069268793
234 rdf:type schema:CreativeWork
235 https://doi.org/10.2307/3102759 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070198501
236 rdf:type schema:CreativeWork
237 https://www.grid.ac/institutes/grid.116068.8 schema:alternateName Massachusetts Institute of Technology
238 schema:name Massachusetts Institute of Technology, 77 Massachusetts Ave, 02139, Cambridge, MA, USA
239 SUTD-MIT International Design Centre, 8 Somapah Road, 487372, Singapore, Singapore
240 rdf:type schema:Organization
241 https://www.grid.ac/institutes/grid.263662.5 schema:alternateName Singapore University of Technology and Design
242 schema:name Engineering Product Development Pillar, Singapore University of Technology and Design, 8 Somapah Road, 487372, Singapore, Singapore
243 SUTD-MIT International Design Centre, 8 Somapah Road, 487372, Singapore, Singapore
244 rdf:type schema:Organization
245 https://www.grid.ac/institutes/grid.7247.6 schema:alternateName Universidad de Los Andes
246 schema:name SUTD-MIT International Design Centre, 8 Somapah Road, 487372, Singapore, Singapore
247 School of Management, Universidad de los Andes, Calle 21 #1-20, 110311, Bogotá, Colombia
248 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...