Interestingness of Traces in Declarative Process Mining: The Janus LTLp Approach View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-08-11

AUTHORS

Alessio Cecconi , Claudio Di Ciccio , Giuseppe De Giacomo , Jan Mendling

ABSTRACT

Declarative process mining is the set of techniques aimed at extracting behavioural constraints from event logs. These constraints are inherently of a reactive nature, in that their activation restricts the occurrence of other activities. In this way, they are prone to the principle of ex falso quod libet: they can be satisfied even when not activated. As a consequence, constraints can be mined that are hardly interesting to users or even potentially misleading. In this paper, we build on the observation that users typically read and write temporal constraints as if-statements with an explicit indication of the activation condition. Our approach is called Janus, because it permits the specification and verification of reactive constraints that, upon activation, look forward into the future and backwards into the past of a trace. Reactive constraints are expressed using Linear-time Temporal Logic with Past on Finite Traces (LTLp). To mine them out of event logs, we devise a time bi-directional valuation technique based on triplets of automata operating in an on-line fashion. Our solution proves efficient, being at most quadratic w.r.t. trace length, and effective in recognising interestingness of discovered constraints. More... »

PAGES

121-138

References to SciGraph publications

  • 2015. Generating Event Logs Through the Simulation of Declare Models in ENTERPRISE AND ORGANIZATIONAL MODELING AND SIMULATION
  • 2003. LTL with Past and Two-Way Very-Weak Alternating Automata in MATHEMATICAL FOUNDATIONS OF COMPUTER SCIENCE 2003
  • 2016. Semantical Vacuity Detection in Declarative Process Mining in BUSINESS PROCESS MANAGEMENT
  • 2012. Efficient Discovery of Understandable Declarative Process Models from Event Logs in ACTIVE FLOW AND COMBUSTION CONTROL 2018
  • 2003-02. Vacuity detection in temporal model checking in INTERNATIONAL JOURNAL ON SOFTWARE TOOLS FOR TECHNOLOGY TRANSFER
  • 1995. Mona: Monadic second-order logic in practice in TOOLS AND ALGORITHMS FOR THE CONSTRUCTION AND ANALYSIS OF SYSTEMS
  • 2012. Declarative Modelling and Safe Distribution of Healthcare Workflows in FOUNDATIONS OF HEALTH INFORMATICS ENGINEERING AND SYSTEMS
  • 2011. Monitoring Business Process Compliance Using Compliance Rule Graphs in ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2011
  • 1985. The glory of the past in LOGICS OF PROGRAMS
  • 1989. The declarative past and imperative future in TEMPORAL LOGIC IN SPECIFICATION
  • 2001. Data Mining for Association Rules and Sequential Patterns, Sequential and Parallel Algorithms in NONE
  • Book

    TITLE

    Business Process Management

    ISBN

    978-3-319-98647-0
    978-3-319-98648-7

    From Grant

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-98648-7_8

    DOI

    http://dx.doi.org/10.1007/978-3-319-98648-7_8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1106097249


    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": "Vienna University of Economics and Business", 
              "id": "https://www.grid.ac/institutes/grid.15788.33", 
              "name": [
                "Vienna University of Economics and Business, Vienna, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cecconi", 
            "givenName": "Alessio", 
            "id": "sg:person.015225545750.28", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015225545750.28"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Vienna University of Economics and Business", 
              "id": "https://www.grid.ac/institutes/grid.15788.33", 
              "name": [
                "Vienna University of Economics and Business, Vienna, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Di Ciccio", 
            "givenName": "Claudio", 
            "id": "sg:person.016473360606.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016473360606.42"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sapienza University of Rome", 
              "id": "https://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Sapienza University of Rome, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "De Giacomo", 
            "givenName": "Giuseppe", 
            "id": "sg:person.07466761671.93", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07466761671.93"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Vienna University of Economics and Business", 
              "id": "https://www.grid.ac/institutes/grid.15788.33", 
              "name": [
                "Vienna University of Economics and Business, Vienna, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mendling", 
            "givenName": "Jan", 
            "id": "sg:person.016060535047.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016060535047.44"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1145/302405.302672", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000753717"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-51803-7_36", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008799353", 
              "https://doi.org/10.1007/3-540-51803-7_36"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-31095-9_18", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011418389", 
              "https://doi.org/10.1007/978-3-642-31095-9_18"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-24626-0_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013344568", 
              "https://doi.org/10.1007/978-3-319-24626-0_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-45138-9_38", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015760590", 
              "https://doi.org/10.1007/978-3-540-45138-9_38"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-45138-9_38", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015760590", 
              "https://doi.org/10.1007/978-3-540-45138-9_38"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s100090100062", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021735214", 
              "https://doi.org/10.1007/s100090100062"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-32355-3_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026461595", 
              "https://doi.org/10.1007/978-3-642-32355-3_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.is.2016.09.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028097580"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1571-0661(05)80366-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029195200"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2629447", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036104124"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-25109-2_7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036673498", 
              "https://doi.org/10.1007/978-3-642-25109-2_7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.is.2013.12.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036914716"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-15648-8_16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042959172", 
              "https://doi.org/10.1007/3-540-15648-8_16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.apal.2010.01.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048157251"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-60630-0_5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049101012", 
              "https://doi.org/10.1007/3-540-60630-0_5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4613-0085-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052159289", 
              "https://doi.org/10.1007/978-1-4613-0085-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4613-0085-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052159289", 
              "https://doi.org/10.1007/978-1-4613-0085-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-45348-4_10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084898960", 
              "https://doi.org/10.1007/978-3-319-45348-4_10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.24963/ijcai.2017/189", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1096024802"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.is.2017.12.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099665097"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-08-11", 
        "datePublishedReg": "2018-08-11", 
        "description": "Declarative process mining is the set of techniques aimed at extracting behavioural constraints from event logs. These constraints are inherently of a reactive nature, in that their activation restricts the occurrence of other activities. In this way, they are prone to the principle of ex falso quod libet: they can be satisfied even when not activated. As a consequence, constraints can be mined that are hardly interesting to users or even potentially misleading. In this paper, we build on the observation that users typically read and write temporal constraints as if-statements with an explicit indication of the activation condition. Our approach is called Janus, because it permits the specification and verification of reactive constraints that, upon activation, look forward into the future and backwards into the past of a trace. Reactive constraints are expressed using Linear-time Temporal Logic with Past on Finite Traces (LTLp). To mine them out of event logs, we devise a time bi-directional valuation technique based on triplets of automata operating in an on-line fashion. Our solution proves efficient, being at most quadratic w.r.t. trace length, and effective in recognising interestingness of discovered constraints.", 
        "editor": [
          {
            "familyName": "Weske", 
            "givenName": "Mathias", 
            "type": "Person"
          }, 
          {
            "familyName": "Montali", 
            "givenName": "Marco", 
            "type": "Person"
          }, 
          {
            "familyName": "Weber", 
            "givenName": "Ingo", 
            "type": "Person"
          }, 
          {
            "familyName": "vom Brocke", 
            "givenName": "Jan", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-319-98648-7_8", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3940730", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": {
          "isbn": [
            "978-3-319-98647-0", 
            "978-3-319-98648-7"
          ], 
          "name": "Business Process Management", 
          "type": "Book"
        }, 
        "name": "Interestingness of Traces in Declarative Process Mining: The Janus LTLp Approach", 
        "pagination": "121-138", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-319-98648-7_8"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "76ee70b2453c9a8a769cb8034a18fc784a2f86fbada96e9400f9ede78ab515fd"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1106097249"
            ]
          }
        ], 
        "publisher": {
          "location": "Cham", 
          "name": "Springer International Publishing", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-319-98648-7_8", 
          "https://app.dimensions.ai/details/publication/pub.1106097249"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-16T05:00", 
        "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/v90/0000000325_0000000325/records_100797_00000000.jsonl", 
        "type": "Chapter", 
        "url": "https://link.springer.com/10.1007%2F978-3-319-98648-7_8"
      }
    ]
     

    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.10.1007/978-3-319-98648-7_8'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-98648-7_8'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-98648-7_8'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-98648-7_8'


     

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

    174 TRIPLES      23 PREDICATES      45 URIs      19 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-319-98648-7_8 schema:about anzsrc-for:08
    2 anzsrc-for:0806
    3 schema:author N111f1d7f492b4a1db7a29d70d5b6e626
    4 schema:citation sg:pub.10.1007/3-540-15648-8_16
    5 sg:pub.10.1007/3-540-51803-7_36
    6 sg:pub.10.1007/3-540-60630-0_5
    7 sg:pub.10.1007/978-1-4613-0085-4
    8 sg:pub.10.1007/978-3-319-24626-0_2
    9 sg:pub.10.1007/978-3-319-45348-4_10
    10 sg:pub.10.1007/978-3-540-45138-9_38
    11 sg:pub.10.1007/978-3-642-25109-2_7
    12 sg:pub.10.1007/978-3-642-31095-9_18
    13 sg:pub.10.1007/978-3-642-32355-3_3
    14 sg:pub.10.1007/s100090100062
    15 https://doi.org/10.1016/j.apal.2010.01.002
    16 https://doi.org/10.1016/j.is.2013.12.005
    17 https://doi.org/10.1016/j.is.2016.09.005
    18 https://doi.org/10.1016/j.is.2017.12.002
    19 https://doi.org/10.1016/s1571-0661(05)80366-4
    20 https://doi.org/10.1145/2629447
    21 https://doi.org/10.1145/302405.302672
    22 https://doi.org/10.24963/ijcai.2017/189
    23 schema:datePublished 2018-08-11
    24 schema:datePublishedReg 2018-08-11
    25 schema:description Declarative process mining is the set of techniques aimed at extracting behavioural constraints from event logs. These constraints are inherently of a reactive nature, in that their activation restricts the occurrence of other activities. In this way, they are prone to the principle of ex falso quod libet: they can be satisfied even when not activated. As a consequence, constraints can be mined that are hardly interesting to users or even potentially misleading. In this paper, we build on the observation that users typically read and write temporal constraints as if-statements with an explicit indication of the activation condition. Our approach is called Janus, because it permits the specification and verification of reactive constraints that, upon activation, look forward into the future and backwards into the past of a trace. Reactive constraints are expressed using Linear-time Temporal Logic with Past on Finite Traces (LTLp). To mine them out of event logs, we devise a time bi-directional valuation technique based on triplets of automata operating in an on-line fashion. Our solution proves efficient, being at most quadratic w.r.t. trace length, and effective in recognising interestingness of discovered constraints.
    26 schema:editor Nd29084bcb45147eeb455be1d35d8e9e4
    27 schema:genre chapter
    28 schema:inLanguage en
    29 schema:isAccessibleForFree false
    30 schema:isPartOf N60171e447b39454a9cb46a13fb4d4be4
    31 schema:name Interestingness of Traces in Declarative Process Mining: The Janus LTLp Approach
    32 schema:pagination 121-138
    33 schema:productId N4ae4a677795c4244804129ab0d728215
    34 Naf14ef2735b6489daf7aa86ce2df4372
    35 Nb6a8d8f152af41de95c12558384449f7
    36 schema:publisher Na1f038f3aaef492594024e8577883a59
    37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106097249
    38 https://doi.org/10.1007/978-3-319-98648-7_8
    39 schema:sdDatePublished 2019-04-16T05:00
    40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    41 schema:sdPublisher Neddb332827a741a5a0b18e3e0a123749
    42 schema:url https://link.springer.com/10.1007%2F978-3-319-98648-7_8
    43 sgo:license sg:explorer/license/
    44 sgo:sdDataset chapters
    45 rdf:type schema:Chapter
    46 N0475eeb2b2f64392a054991ffdc505a7 schema:familyName vom Brocke
    47 schema:givenName Jan
    48 rdf:type schema:Person
    49 N0495488de37c4a2f8e8489304e090709 rdf:first N0475eeb2b2f64392a054991ffdc505a7
    50 rdf:rest rdf:nil
    51 N111f1d7f492b4a1db7a29d70d5b6e626 rdf:first sg:person.015225545750.28
    52 rdf:rest Nfd431060f5d349758441a896a261f0d6
    53 N2edc2d76386946cbb76c3d5d766467c1 rdf:first sg:person.07466761671.93
    54 rdf:rest N9f6adb69375a4e9e910eeab28d4d95f8
    55 N4147d61b77b64b4a81573e4c890ec02e schema:familyName Montali
    56 schema:givenName Marco
    57 rdf:type schema:Person
    58 N4569840138794f5a9c52a1cbfdfa5d42 rdf:first N4147d61b77b64b4a81573e4c890ec02e
    59 rdf:rest N5b7174f63022435696fecb9a449a7bce
    60 N4ae4a677795c4244804129ab0d728215 schema:name doi
    61 schema:value 10.1007/978-3-319-98648-7_8
    62 rdf:type schema:PropertyValue
    63 N5514467629ce471db531c1e19126f766 schema:familyName Weske
    64 schema:givenName Mathias
    65 rdf:type schema:Person
    66 N5b7174f63022435696fecb9a449a7bce rdf:first Nf4e90f086de1495e9254d3b13b523a57
    67 rdf:rest N0495488de37c4a2f8e8489304e090709
    68 N60171e447b39454a9cb46a13fb4d4be4 schema:isbn 978-3-319-98647-0
    69 978-3-319-98648-7
    70 schema:name Business Process Management
    71 rdf:type schema:Book
    72 N9f6adb69375a4e9e910eeab28d4d95f8 rdf:first sg:person.016060535047.44
    73 rdf:rest rdf:nil
    74 Na1f038f3aaef492594024e8577883a59 schema:location Cham
    75 schema:name Springer International Publishing
    76 rdf:type schema:Organisation
    77 Naf14ef2735b6489daf7aa86ce2df4372 schema:name dimensions_id
    78 schema:value pub.1106097249
    79 rdf:type schema:PropertyValue
    80 Nb6a8d8f152af41de95c12558384449f7 schema:name readcube_id
    81 schema:value 76ee70b2453c9a8a769cb8034a18fc784a2f86fbada96e9400f9ede78ab515fd
    82 rdf:type schema:PropertyValue
    83 Nd29084bcb45147eeb455be1d35d8e9e4 rdf:first N5514467629ce471db531c1e19126f766
    84 rdf:rest N4569840138794f5a9c52a1cbfdfa5d42
    85 Neddb332827a741a5a0b18e3e0a123749 schema:name Springer Nature - SN SciGraph project
    86 rdf:type schema:Organization
    87 Nf4e90f086de1495e9254d3b13b523a57 schema:familyName Weber
    88 schema:givenName Ingo
    89 rdf:type schema:Person
    90 Nfd431060f5d349758441a896a261f0d6 rdf:first sg:person.016473360606.42
    91 rdf:rest N2edc2d76386946cbb76c3d5d766467c1
    92 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    93 schema:name Information and Computing Sciences
    94 rdf:type schema:DefinedTerm
    95 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    96 schema:name Information Systems
    97 rdf:type schema:DefinedTerm
    98 sg:grant.3940730 http://pending.schema.org/fundedItem sg:pub.10.1007/978-3-319-98648-7_8
    99 rdf:type schema:MonetaryGrant
    100 sg:person.015225545750.28 schema:affiliation https://www.grid.ac/institutes/grid.15788.33
    101 schema:familyName Cecconi
    102 schema:givenName Alessio
    103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015225545750.28
    104 rdf:type schema:Person
    105 sg:person.016060535047.44 schema:affiliation https://www.grid.ac/institutes/grid.15788.33
    106 schema:familyName Mendling
    107 schema:givenName Jan
    108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016060535047.44
    109 rdf:type schema:Person
    110 sg:person.016473360606.42 schema:affiliation https://www.grid.ac/institutes/grid.15788.33
    111 schema:familyName Di Ciccio
    112 schema:givenName Claudio
    113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016473360606.42
    114 rdf:type schema:Person
    115 sg:person.07466761671.93 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
    116 schema:familyName De Giacomo
    117 schema:givenName Giuseppe
    118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07466761671.93
    119 rdf:type schema:Person
    120 sg:pub.10.1007/3-540-15648-8_16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042959172
    121 https://doi.org/10.1007/3-540-15648-8_16
    122 rdf:type schema:CreativeWork
    123 sg:pub.10.1007/3-540-51803-7_36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008799353
    124 https://doi.org/10.1007/3-540-51803-7_36
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1007/3-540-60630-0_5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049101012
    127 https://doi.org/10.1007/3-540-60630-0_5
    128 rdf:type schema:CreativeWork
    129 sg:pub.10.1007/978-1-4613-0085-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052159289
    130 https://doi.org/10.1007/978-1-4613-0085-4
    131 rdf:type schema:CreativeWork
    132 sg:pub.10.1007/978-3-319-24626-0_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013344568
    133 https://doi.org/10.1007/978-3-319-24626-0_2
    134 rdf:type schema:CreativeWork
    135 sg:pub.10.1007/978-3-319-45348-4_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084898960
    136 https://doi.org/10.1007/978-3-319-45348-4_10
    137 rdf:type schema:CreativeWork
    138 sg:pub.10.1007/978-3-540-45138-9_38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015760590
    139 https://doi.org/10.1007/978-3-540-45138-9_38
    140 rdf:type schema:CreativeWork
    141 sg:pub.10.1007/978-3-642-25109-2_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036673498
    142 https://doi.org/10.1007/978-3-642-25109-2_7
    143 rdf:type schema:CreativeWork
    144 sg:pub.10.1007/978-3-642-31095-9_18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011418389
    145 https://doi.org/10.1007/978-3-642-31095-9_18
    146 rdf:type schema:CreativeWork
    147 sg:pub.10.1007/978-3-642-32355-3_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026461595
    148 https://doi.org/10.1007/978-3-642-32355-3_3
    149 rdf:type schema:CreativeWork
    150 sg:pub.10.1007/s100090100062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021735214
    151 https://doi.org/10.1007/s100090100062
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.1016/j.apal.2010.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048157251
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.1016/j.is.2013.12.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036914716
    156 rdf:type schema:CreativeWork
    157 https://doi.org/10.1016/j.is.2016.09.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028097580
    158 rdf:type schema:CreativeWork
    159 https://doi.org/10.1016/j.is.2017.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099665097
    160 rdf:type schema:CreativeWork
    161 https://doi.org/10.1016/s1571-0661(05)80366-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029195200
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1145/2629447 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036104124
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1145/302405.302672 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000753717
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.24963/ijcai.2017/189 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096024802
    168 rdf:type schema:CreativeWork
    169 https://www.grid.ac/institutes/grid.15788.33 schema:alternateName Vienna University of Economics and Business
    170 schema:name Vienna University of Economics and Business, Vienna, Austria
    171 rdf:type schema:Organization
    172 https://www.grid.ac/institutes/grid.7841.a schema:alternateName Sapienza University of Rome
    173 schema:name Sapienza University of Rome, Rome, Italy
    174 rdf:type schema:Organization
     




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


    ...