Maturing Pay-as-you-go Data Quality Management: Towards Decision Support for Paying the Larger Bills View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

Jan van Dijk , Mortaza S. Bargh , Sunil Choenni , Marco Spruit

ABSTRACT

Data quality management is a great challenge in today’s world due to increasing proliferation of abundant and heterogeneous datasets. All organizations that realize and maintain data intensive advanced applications should deal with data quality related problems on a daily basis. In these organization data quality related problems are registered in natural languages and subsequently the organizations rely on ad-hoc, non-systematic, and expensive solutions to categorize and resolve registered problems. In this contribution we present a formal description of an innovative data quality resolving architecture to semantically and dynamically map the descriptions of data quality related problems to data quality attributes. Through this mapping, we reduce complexity – as the dimensionality of data quality attributes is far smaller than that of the natural language space – and enable data analysts to directly use the methods and tools proposed in literature. Another challenge in data quality management is to choose appropriate solutions for addressing data quality problems due to lack of insight in the long-term or broader effects of candidate solutions. This difficulty becomes particularly prominent in flexible architectures where loosely linked data are integrated (e.g., data spaces or in open data settings). We present also a decision support framework for the solution choosing process to evaluate cost-benefit values of candidate solutions. The paper reports on a proof of concept tool of the proposed architecture and its evaluation. More... »

PAGES

102-124

References to SciGraph publications

  • 2009. Measuring and Comparing Effectiveness of Data Quality Techniques in ACTIVE FLOW AND COMBUSTION CONTROL 2018
  • 2010. The Algebra of Lexical Semantics in THE MATHEMATICS OF LANGUAGE
  • 2010. Public Safety Mashups to Support Policy Makers in ELECTRONIC GOVERNMENT AND THE INFORMATION SYSTEMS PERSPECTIVE
  • 2012. Consistency in Distributed Systems in GUIDE TO RELIABLE DISTRIBUTED SYSTEMS
  • 2007. Learning for Semantic Parsing in COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING
  • Book

    TITLE

    Data Management Technologies and Applications

    ISBN

    978-3-319-62910-0
    978-3-319-62911-7

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-62911-7_6

    DOI

    http://dx.doi.org/10.1007/978-3-319-62911-7_6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1090297176


    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/2008/0806", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information Systems", 
            "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": "Ministry of Security and Justice", 
              "id": "https://www.grid.ac/institutes/grid.436193.a", 
              "name": [
                "Ministry of Security and Justice"
              ], 
              "type": "Organization"
            }, 
            "familyName": "van Dijk", 
            "givenName": "Jan", 
            "id": "sg:person.013314300650.28", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013314300650.28"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ministry of Security and Justice", 
              "id": "https://www.grid.ac/institutes/grid.436193.a", 
              "name": [
                "Ministry of Security and Justice"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bargh", 
            "givenName": "Mortaza S.", 
            "id": "sg:person.011203754455.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011203754455.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ministry of Security and Justice", 
              "id": "https://www.grid.ac/institutes/grid.436193.a", 
              "name": [
                "Ministry of Security and Justice", 
                "Rotterdam University of Technology"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Choenni", 
            "givenName": "Sunil", 
            "id": "sg:person.011404474413.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011404474413.34"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Utrecht University", 
              "id": "https://www.grid.ac/institutes/grid.5477.1", 
              "name": [
                "Utrecht University"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Spruit", 
            "givenName": "Marco", 
            "id": "sg:person.01221154341.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221154341.40"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1145/505248.506010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000595061"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.im.2013.05.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000656630"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1541880.1541883", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004686590"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2757401.2757425", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013908347"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-02144-2_17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019027600", 
              "https://doi.org/10.1007/978-3-642-02144-2_17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-02144-2_17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019027600", 
              "https://doi.org/10.1007/978-3-642-02144-2_17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/07421222.1996.11518099", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030081599"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4471-2416-0_15", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032736821", 
              "https://doi.org/10.1007/978-1-4471-2416-0_15"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-70939-8_28", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037715645", 
              "https://doi.org/10.1007/978-3-540-70939-8_28"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-70939-8_28", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037715645", 
              "https://doi.org/10.1007/978-3-540-70939-8_28"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-14322-9_14", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039307099", 
              "https://doi.org/10.1007/978-3-642-14322-9_14"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-14322-9_14", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039307099", 
              "https://doi.org/10.1007/978-3-642-14322-9_14"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2691195.2691264", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040928899"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.giq.2015.11.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044287500"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.giq.2015.11.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044287500"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/240455.240479", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044546974"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-15172-9_22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052081306", 
              "https://doi.org/10.1007/978-3-642-15172-9_22"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-15172-9_22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052081306", 
              "https://doi.org/10.1007/978-3-642-15172-9_22"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1504/ijiq.2015.071672", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1067465414"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4218/etrij.06.0105.0026", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072378136"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1075093069", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1079193722", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/07421222.2003.11045770", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085538019"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5220/0005982300310042", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099446960"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2017", 
        "datePublishedReg": "2017-01-01", 
        "description": "Data quality management is a great challenge in today\u2019s world due to increasing proliferation of abundant and heterogeneous datasets. All organizations that realize and maintain data intensive advanced applications should deal with data quality related problems on a daily basis. In these organization data quality related problems are registered in natural languages and subsequently the organizations rely on ad-hoc, non-systematic, and expensive solutions to categorize and resolve registered problems. In this contribution we present a formal description of an innovative data quality resolving architecture to semantically and dynamically map the descriptions of data quality related problems to data quality attributes. Through this mapping, we reduce complexity \u2013 as the dimensionality of data quality attributes is far smaller than that of the natural language space \u2013 and enable data analysts to directly use the methods and tools proposed in literature. Another challenge in data quality management is to choose appropriate solutions for addressing data quality problems due to lack of insight in the long-term or broader effects of candidate solutions. This difficulty becomes particularly prominent in flexible architectures where loosely linked data are integrated (e.g., data spaces or in open data settings). We present also a decision support framework for the solution choosing process to evaluate cost-benefit values of candidate solutions. The paper reports on a proof of concept tool of the proposed architecture and its evaluation.", 
        "editor": [
          {
            "familyName": "Francalanci", 
            "givenName": "Chiara", 
            "type": "Person"
          }, 
          {
            "familyName": "Helfert", 
            "givenName": "Markus", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-319-62911-7_6", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-319-62910-0", 
            "978-3-319-62911-7"
          ], 
          "name": "Data Management Technologies and Applications", 
          "type": "Book"
        }, 
        "name": "Maturing Pay-as-you-go Data Quality Management: Towards Decision Support for Paying the Larger Bills", 
        "pagination": "102-124", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-319-62911-7_6"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "69cb286e75e3f488845dfa0b1765ca8cdb3bc24282a201531b62a17e2a7dbd52"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1090297176"
            ]
          }
        ], 
        "publisher": {
          "location": "Cham", 
          "name": "Springer International Publishing", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-319-62911-7_6", 
          "https://app.dimensions.ai/details/publication/pub.1090297176"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T20:44", 
        "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/v90/0000000001_0000000264/records_8687_00000600.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-319-62911-7_6"
      }
    ]
     

    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.10.1007/978-3-319-62911-7_6'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-62911-7_6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-62911-7_6'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-62911-7_6'


     

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

    155 TRIPLES      23 PREDICATES      46 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-319-62911-7_6 schema:about anzsrc-for:08
    2 anzsrc-for:0806
    3 schema:author N39d75f7fcb1b4bf593be17cd893591e5
    4 schema:citation sg:pub.10.1007/978-1-4471-2416-0_15
    5 sg:pub.10.1007/978-3-540-70939-8_28
    6 sg:pub.10.1007/978-3-642-02144-2_17
    7 sg:pub.10.1007/978-3-642-14322-9_14
    8 sg:pub.10.1007/978-3-642-15172-9_22
    9 https://app.dimensions.ai/details/publication/pub.1075093069
    10 https://app.dimensions.ai/details/publication/pub.1079193722
    11 https://doi.org/10.1016/j.giq.2015.11.005
    12 https://doi.org/10.1016/j.im.2013.05.009
    13 https://doi.org/10.1080/07421222.1996.11518099
    14 https://doi.org/10.1080/07421222.2003.11045770
    15 https://doi.org/10.1145/1541880.1541883
    16 https://doi.org/10.1145/240455.240479
    17 https://doi.org/10.1145/2691195.2691264
    18 https://doi.org/10.1145/2757401.2757425
    19 https://doi.org/10.1145/505248.506010
    20 https://doi.org/10.1504/ijiq.2015.071672
    21 https://doi.org/10.4218/etrij.06.0105.0026
    22 https://doi.org/10.5220/0005982300310042
    23 schema:datePublished 2017
    24 schema:datePublishedReg 2017-01-01
    25 schema:description Data quality management is a great challenge in today’s world due to increasing proliferation of abundant and heterogeneous datasets. All organizations that realize and maintain data intensive advanced applications should deal with data quality related problems on a daily basis. In these organization data quality related problems are registered in natural languages and subsequently the organizations rely on ad-hoc, non-systematic, and expensive solutions to categorize and resolve registered problems. In this contribution we present a formal description of an innovative data quality resolving architecture to semantically and dynamically map the descriptions of data quality related problems to data quality attributes. Through this mapping, we reduce complexity – as the dimensionality of data quality attributes is far smaller than that of the natural language space – and enable data analysts to directly use the methods and tools proposed in literature. Another challenge in data quality management is to choose appropriate solutions for addressing data quality problems due to lack of insight in the long-term or broader effects of candidate solutions. This difficulty becomes particularly prominent in flexible architectures where loosely linked data are integrated (e.g., data spaces or in open data settings). We present also a decision support framework for the solution choosing process to evaluate cost-benefit values of candidate solutions. The paper reports on a proof of concept tool of the proposed architecture and its evaluation.
    26 schema:editor N1a70df55e9d9496eadc2b840316aca9a
    27 schema:genre chapter
    28 schema:inLanguage en
    29 schema:isAccessibleForFree false
    30 schema:isPartOf N0ba02da15afa43a280a3032c17b969f5
    31 schema:name Maturing Pay-as-you-go Data Quality Management: Towards Decision Support for Paying the Larger Bills
    32 schema:pagination 102-124
    33 schema:productId N3fc07ec27f644d5eb0b954db80f6d5f0
    34 N688de3a55272461590d0be3c8aafb3cc
    35 N8ad98ca5afe14b5fa4a6ea261bdba860
    36 schema:publisher N5f5705b7cfcf4edebf8c6151063f9082
    37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090297176
    38 https://doi.org/10.1007/978-3-319-62911-7_6
    39 schema:sdDatePublished 2019-04-15T20:44
    40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    41 schema:sdPublisher N5c8aa96e268f497f989f37d0e132b4eb
    42 schema:url http://link.springer.com/10.1007/978-3-319-62911-7_6
    43 sgo:license sg:explorer/license/
    44 sgo:sdDataset chapters
    45 rdf:type schema:Chapter
    46 N0ba02da15afa43a280a3032c17b969f5 schema:isbn 978-3-319-62910-0
    47 978-3-319-62911-7
    48 schema:name Data Management Technologies and Applications
    49 rdf:type schema:Book
    50 N1a70df55e9d9496eadc2b840316aca9a rdf:first N57f4ef6ae29149cbb5ce5c889338ed9c
    51 rdf:rest N2a7c2725c2eb4479bc14acd044df0942
    52 N2a7c2725c2eb4479bc14acd044df0942 rdf:first Ncb26e58366a749aebc4a794a04a83e9b
    53 rdf:rest rdf:nil
    54 N39d75f7fcb1b4bf593be17cd893591e5 rdf:first sg:person.013314300650.28
    55 rdf:rest Nb1b1abe5195a4fe68aa6d9045793165d
    56 N3fc07ec27f644d5eb0b954db80f6d5f0 schema:name readcube_id
    57 schema:value 69cb286e75e3f488845dfa0b1765ca8cdb3bc24282a201531b62a17e2a7dbd52
    58 rdf:type schema:PropertyValue
    59 N57f4ef6ae29149cbb5ce5c889338ed9c schema:familyName Francalanci
    60 schema:givenName Chiara
    61 rdf:type schema:Person
    62 N595b9e1ebe3e4817954570a09c359a4d rdf:first sg:person.011404474413.34
    63 rdf:rest N9c009309f1e3494b86c9509e19e25788
    64 N5c8aa96e268f497f989f37d0e132b4eb schema:name Springer Nature - SN SciGraph project
    65 rdf:type schema:Organization
    66 N5f5705b7cfcf4edebf8c6151063f9082 schema:location Cham
    67 schema:name Springer International Publishing
    68 rdf:type schema:Organisation
    69 N688de3a55272461590d0be3c8aafb3cc schema:name dimensions_id
    70 schema:value pub.1090297176
    71 rdf:type schema:PropertyValue
    72 N8ad98ca5afe14b5fa4a6ea261bdba860 schema:name doi
    73 schema:value 10.1007/978-3-319-62911-7_6
    74 rdf:type schema:PropertyValue
    75 N9c009309f1e3494b86c9509e19e25788 rdf:first sg:person.01221154341.40
    76 rdf:rest rdf:nil
    77 Nb1b1abe5195a4fe68aa6d9045793165d rdf:first sg:person.011203754455.06
    78 rdf:rest N595b9e1ebe3e4817954570a09c359a4d
    79 Ncb26e58366a749aebc4a794a04a83e9b schema:familyName Helfert
    80 schema:givenName Markus
    81 rdf:type schema:Person
    82 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    83 schema:name Information and Computing Sciences
    84 rdf:type schema:DefinedTerm
    85 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    86 schema:name Information Systems
    87 rdf:type schema:DefinedTerm
    88 sg:person.011203754455.06 schema:affiliation https://www.grid.ac/institutes/grid.436193.a
    89 schema:familyName Bargh
    90 schema:givenName Mortaza S.
    91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011203754455.06
    92 rdf:type schema:Person
    93 sg:person.011404474413.34 schema:affiliation https://www.grid.ac/institutes/grid.436193.a
    94 schema:familyName Choenni
    95 schema:givenName Sunil
    96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011404474413.34
    97 rdf:type schema:Person
    98 sg:person.01221154341.40 schema:affiliation https://www.grid.ac/institutes/grid.5477.1
    99 schema:familyName Spruit
    100 schema:givenName Marco
    101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221154341.40
    102 rdf:type schema:Person
    103 sg:person.013314300650.28 schema:affiliation https://www.grid.ac/institutes/grid.436193.a
    104 schema:familyName van Dijk
    105 schema:givenName Jan
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013314300650.28
    107 rdf:type schema:Person
    108 sg:pub.10.1007/978-1-4471-2416-0_15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032736821
    109 https://doi.org/10.1007/978-1-4471-2416-0_15
    110 rdf:type schema:CreativeWork
    111 sg:pub.10.1007/978-3-540-70939-8_28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037715645
    112 https://doi.org/10.1007/978-3-540-70939-8_28
    113 rdf:type schema:CreativeWork
    114 sg:pub.10.1007/978-3-642-02144-2_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019027600
    115 https://doi.org/10.1007/978-3-642-02144-2_17
    116 rdf:type schema:CreativeWork
    117 sg:pub.10.1007/978-3-642-14322-9_14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039307099
    118 https://doi.org/10.1007/978-3-642-14322-9_14
    119 rdf:type schema:CreativeWork
    120 sg:pub.10.1007/978-3-642-15172-9_22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052081306
    121 https://doi.org/10.1007/978-3-642-15172-9_22
    122 rdf:type schema:CreativeWork
    123 https://app.dimensions.ai/details/publication/pub.1075093069 schema:CreativeWork
    124 https://app.dimensions.ai/details/publication/pub.1079193722 schema:CreativeWork
    125 https://doi.org/10.1016/j.giq.2015.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044287500
    126 rdf:type schema:CreativeWork
    127 https://doi.org/10.1016/j.im.2013.05.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000656630
    128 rdf:type schema:CreativeWork
    129 https://doi.org/10.1080/07421222.1996.11518099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030081599
    130 rdf:type schema:CreativeWork
    131 https://doi.org/10.1080/07421222.2003.11045770 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085538019
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1145/1541880.1541883 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004686590
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1145/240455.240479 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044546974
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1145/2691195.2691264 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040928899
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1145/2757401.2757425 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013908347
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1145/505248.506010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000595061
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1504/ijiq.2015.071672 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067465414
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.4218/etrij.06.0105.0026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072378136
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.5220/0005982300310042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099446960
    148 rdf:type schema:CreativeWork
    149 https://www.grid.ac/institutes/grid.436193.a schema:alternateName Ministry of Security and Justice
    150 schema:name Ministry of Security and Justice
    151 Rotterdam University of Technology
    152 rdf:type schema:Organization
    153 https://www.grid.ac/institutes/grid.5477.1 schema:alternateName Utrecht University
    154 schema:name Utrecht University
    155 rdf:type schema:Organization
     




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


    ...