An Evidence Theory-Based Approach to Handling Conflicting Temporal Data in OWL 2 View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-07-30

AUTHORS

Nassira Achich, Fatma Ghorbel, Sonda Ammar Bouhamed, Fayçal Hamdi, Elisabeth Métais, Faiez Gargouri, Haithem Kharfia, Bilel Gargouri

ABSTRACT

Temporal data (TD) in Semantic Web are affected by different types of imperfections principally conflict. In the literature, most of the proposed approaches deal with perfect TD. However, to our knowledge, there is no approach to dealing with conflicting TD. In this paper, we propose an approach to represent and reason about quantitative conflicting TD (i.e., time intervals and points) and associated qualitative relations (e.g., “before”). This approach is based on evidence theory and it is three folds. (i) For the representation, the mass function of the conflicting temporal data is estimated, through the believability measures estimated based on our previous DBE_ALZ approach. Then, an ontology-based representation for the handled TD associated with the obtained mass function is proposed. (ii) For the reasoning, our approach relies on the Allen’s interval relations. First, we extend this algebra to reason about conflicting temporal relations. The resulting interval relations preserve the properties of the original algebra. Second, we adapt the proposed relations to define new ones relating a time interval and a time point, and two time points. All the proposed relations can be used for temporal reasoning through transitivity tables. (iii) Based on (i) and (ii), we propose a new evidential ontology named “BeliefTimeOnto”. We implement a prototype to ease the interaction with the proposed ontology. We conduct two case studies: the first is about temporal data entered by Alzheimer’s patients in the context of a memory prosthesis and the second is about data entered the context of Collective Memory application. The evaluation proves the usefulness of the proposed approach as all the inferences are well established and the precision results are interesting. More... »

PAGES

845-870

References to SciGraph publications

  • 2006. An Agent-Oriented Model of a Dynamic Engineering Design Process in AGENT-ORIENTED INFORMATION SYSTEMS III
  • 2005. Temporal RDF in THE SEMANTIC WEB: RESEARCH AND APPLICATIONS
  • 2008-01-01. Temporal Ontology Language for Representing and Reasoning Interval-Based Temporal Knowledge in THE SEMANTIC WEB
  • 2011. A Method for Representing and Querying Temporal Information in OWL in BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES
  • 2021-05-08. Dealing with Uncertain and Imprecise Time Intervals in OWL2: A Possibility Theory-Based Approach in RESEARCH CHALLENGES IN INFORMATION SCIENCE
  • 2000-06. A survey of temporal extensions of description logics in ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE
  • 2006. Reasoning with Temporal Constraints in RDF in PRINCIPLES AND PRACTICE OF SEMANTIC WEB REASONING
  • 2009. Applied Temporal RDF: Efficient Temporal Querying of RDF Data with SPARQL in THE SEMANTIC WEB: RESEARCH AND APPLICATIONS
  • 2008-01-01. Upper and Lower Probabilities Induced by a Multivalued Mapping in CLASSIC WORKS OF THE DEMPSTER-SHAFER THEORY OF BELIEF FUNCTIONS
  • 2003. A Fuzzy Model for Representing Uncertain, Subjective, and Vague Temporal Knowledge in Ontologies in ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2003: COOPIS, DOA, AND ODBASE
  • 2018-05-22. A Fuzzy-Based Approach for Representing and Reasoning on Imprecise Time Intervals in Fuzzy-OWL 2 Ontology in NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00354-022-00187-x

    DOI

    http://dx.doi.org/10.1007/s00354-022-00187-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1149848884


    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/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "CEDRIC Laboratory, Conservatoire National des Arts et M\u00e9tiers (CNAM), Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.36823.3c", 
              "name": [
                "MIRACL Laboratory, University of Sfax, Sfax, Tunisia", 
                "CEDRIC Laboratory, Conservatoire National des Arts et M\u00e9tiers (CNAM), Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Achich", 
            "givenName": "Nassira", 
            "id": "sg:person.011625777414.67", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011625777414.67"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CEDRIC Laboratory, Conservatoire National des Arts et M\u00e9tiers (CNAM), Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.36823.3c", 
              "name": [
                "MIRACL Laboratory, University of Sfax, Sfax, Tunisia", 
                "CEDRIC Laboratory, Conservatoire National des Arts et M\u00e9tiers (CNAM), Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ghorbel", 
            "givenName": "Fatma", 
            "id": "sg:person.013332340407.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013332340407.04"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "(iTi), IMT-Atlantique, Technopole Brest, Nantes, France", 
              "id": "http://www.grid.ac/institutes/grid.486295.4", 
              "name": [
                "CEM Laboratory, University of Sfax, Sfax, Tunisia", 
                "(iTi), IMT-Atlantique, Technopole Brest, Nantes, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bouhamed", 
            "givenName": "Sonda Ammar", 
            "id": "sg:person.07750341065.84", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07750341065.84"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CEDRIC Laboratory, Conservatoire National des Arts et M\u00e9tiers (CNAM), Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.36823.3c", 
              "name": [
                "CEDRIC Laboratory, Conservatoire National des Arts et M\u00e9tiers (CNAM), Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hamdi", 
            "givenName": "Fay\u00e7al", 
            "id": "sg:person.016015755040.90", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016015755040.90"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CEDRIC Laboratory, Conservatoire National des Arts et M\u00e9tiers (CNAM), Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.36823.3c", 
              "name": [
                "CEDRIC Laboratory, Conservatoire National des Arts et M\u00e9tiers (CNAM), Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "M\u00e9tais", 
            "givenName": "Elisabeth", 
            "id": "sg:person.015035413735.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015035413735.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "MIRACL Laboratory, University of Sfax, Sfax, Tunisia", 
              "id": "http://www.grid.ac/institutes/grid.412124.0", 
              "name": [
                "MIRACL Laboratory, University of Sfax, Sfax, Tunisia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gargouri", 
            "givenName": "Faiez", 
            "id": "sg:person.010641226441.92", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010641226441.92"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "MIRACL Laboratory, University of Sfax, Sfax, Tunisia", 
              "id": "http://www.grid.ac/institutes/grid.412124.0", 
              "name": [
                "MIRACL Laboratory, University of Sfax, Sfax, Tunisia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kharfia", 
            "givenName": "Haithem", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "MIRACL Laboratory, University of Sfax, Sfax, Tunisia", 
              "id": "http://www.grid.ac/institutes/grid.412124.0", 
              "name": [
                "MIRACL Laboratory, University of Sfax, Sfax, Tunisia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gargouri", 
            "givenName": "Bilel", 
            "id": "sg:person.016644116173.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016644116173.24"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-3-642-02121-3_25", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002481032", 
              "https://doi.org/10.1007/978-3-642-02121-3_25"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-030-75018-3_35", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1137834575", 
              "https://doi.org/10.1007/978-3-030-75018-3_35"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11431053_7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014783006", 
              "https://doi.org/10.1007/11431053_7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11853107_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014094982", 
              "https://doi.org/10.1007/11853107_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-89704-0_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006196786", 
              "https://doi.org/10.1007/978-3-540-89704-0_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-18472-7_8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038939660", 
              "https://doi.org/10.1007/978-3-642-18472-7_8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-44792-4_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000287614", 
              "https://doi.org/10.1007/978-3-540-44792-4_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1016636131405", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052355168", 
              "https://doi.org/10.1023/a:1016636131405"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-91947-8_17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104185518", 
              "https://doi.org/10.1007/978-3-319-91947-8_17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11916291_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048993788", 
              "https://doi.org/10.1007/11916291_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-39964-3_57", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013819270", 
              "https://doi.org/10.1007/978-3-540-39964-3_57"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-07-30", 
        "datePublishedReg": "2022-07-30", 
        "description": "Temporal data (TD) in Semantic Web are affected by different types of imperfections principally conflict. In the literature, most of the proposed approaches deal with perfect TD. However, to our knowledge, there is no approach to dealing with conflicting TD. In this paper, we propose an approach to represent and reason about quantitative conflicting TD (i.e., time intervals and points) and associated qualitative relations (e.g., \u201cbefore\u201d). This approach is based on evidence theory and it is three folds. (i) For the representation, the mass function of the conflicting temporal data is estimated, through the believability measures estimated based on our previous DBE_ALZ approach. Then, an ontology-based representation for the handled TD associated with the obtained mass function is proposed. (ii) For the reasoning, our approach relies on the Allen\u2019s interval relations. First, we extend this algebra to reason about conflicting temporal relations. The resulting interval relations preserve the properties of the original algebra. Second, we adapt the proposed relations to define new ones relating a time interval and a time point, and two time points. All the proposed relations can be used for temporal reasoning through transitivity tables. (iii) Based on (i) and (ii), we propose a new evidential ontology named \u201cBeliefTimeOnto\u201d. We implement a prototype to ease the interaction with the proposed ontology. We conduct two case studies: the first is about temporal data entered by Alzheimer\u2019s patients in the context of a memory prosthesis and the second is about data entered the context of Collective Memory application. The evaluation proves the usefulness of the proposed approach as all the inferences are well established and the precision results are interesting.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s00354-022-00187-x", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1053619", 
            "issn": [
              "0288-3635", 
              "1882-7055"
            ], 
            "name": "New Generation Computing", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "40"
          }
        ], 
        "keywords": [
          "temporal data", 
          "interval relations", 
          "ontology-based representation", 
          "Allen's interval relations", 
          "Semantic Web", 
          "transitivity tables", 
          "temporal reasoning", 
          "OWL 2", 
          "memory prosthesis", 
          "evidence theory", 
          "temporal relations", 
          "ontology", 
          "precision results", 
          "qualitative relations", 
          "reasoning", 
          "theory-based approach", 
          "representation", 
          "case study", 
          "new ones", 
          "Web", 
          "prototype", 
          "data", 
          "different types", 
          "context", 
          "inference", 
          "applications", 
          "table", 
          "original algebra", 
          "point", 
          "algebra", 
          "time interval", 
          "knowledge", 
          "mass function", 
          "usefulness", 
          "evaluation", 
          "one", 
          "function", 
          "memory applications", 
          "results", 
          "Alzheimer patients", 
          "reasons", 
          "types", 
          "literature", 
          "measures", 
          "relation", 
          "imperfections", 
          "theory", 
          "interaction", 
          "interval", 
          "properties", 
          "study", 
          "time points", 
          "prosthesis", 
          "folds", 
          "patients", 
          "approach", 
          "paper"
        ], 
        "name": "An Evidence Theory-Based Approach to Handling Conflicting Temporal Data in OWL 2", 
        "pagination": "845-870", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1149848884"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00354-022-00187-x"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00354-022-00187-x", 
          "https://app.dimensions.ai/details/publication/pub.1149848884"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:45", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_950.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s00354-022-00187-x"
      }
    ]
     

    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/s00354-022-00187-x'

    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/s00354-022-00187-x'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00354-022-00187-x'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00354-022-00187-x'


     

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

    214 TRIPLES      21 PREDICATES      92 URIs      73 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00354-022-00187-x schema:about anzsrc-for:08
    2 anzsrc-for:0806
    3 schema:author N0cc4cd8645ea4f49985c6f4c0cb89977
    4 schema:citation sg:pub.10.1007/11431053_7
    5 sg:pub.10.1007/11853107_12
    6 sg:pub.10.1007/11916291_12
    7 sg:pub.10.1007/978-3-030-75018-3_35
    8 sg:pub.10.1007/978-3-319-91947-8_17
    9 sg:pub.10.1007/978-3-540-39964-3_57
    10 sg:pub.10.1007/978-3-540-44792-4_3
    11 sg:pub.10.1007/978-3-540-89704-0_3
    12 sg:pub.10.1007/978-3-642-02121-3_25
    13 sg:pub.10.1007/978-3-642-18472-7_8
    14 sg:pub.10.1023/a:1016636131405
    15 schema:datePublished 2022-07-30
    16 schema:datePublishedReg 2022-07-30
    17 schema:description Temporal data (TD) in Semantic Web are affected by different types of imperfections principally conflict. In the literature, most of the proposed approaches deal with perfect TD. However, to our knowledge, there is no approach to dealing with conflicting TD. In this paper, we propose an approach to represent and reason about quantitative conflicting TD (i.e., time intervals and points) and associated qualitative relations (e.g., “before”). This approach is based on evidence theory and it is three folds. (i) For the representation, the mass function of the conflicting temporal data is estimated, through the believability measures estimated based on our previous DBE_ALZ approach. Then, an ontology-based representation for the handled TD associated with the obtained mass function is proposed. (ii) For the reasoning, our approach relies on the Allen’s interval relations. First, we extend this algebra to reason about conflicting temporal relations. The resulting interval relations preserve the properties of the original algebra. Second, we adapt the proposed relations to define new ones relating a time interval and a time point, and two time points. All the proposed relations can be used for temporal reasoning through transitivity tables. (iii) Based on (i) and (ii), we propose a new evidential ontology named “BeliefTimeOnto”. We implement a prototype to ease the interaction with the proposed ontology. We conduct two case studies: the first is about temporal data entered by Alzheimer’s patients in the context of a memory prosthesis and the second is about data entered the context of Collective Memory application. The evaluation proves the usefulness of the proposed approach as all the inferences are well established and the precision results are interesting.
    18 schema:genre article
    19 schema:isAccessibleForFree false
    20 schema:isPartOf N84aeb270a0f9449097b166b04a5dcb3c
    21 Nc2f4f5ecc5bf4f4eb454e2e2c3a10a10
    22 sg:journal.1053619
    23 schema:keywords Allen's interval relations
    24 Alzheimer patients
    25 OWL 2
    26 Semantic Web
    27 Web
    28 algebra
    29 applications
    30 approach
    31 case study
    32 context
    33 data
    34 different types
    35 evaluation
    36 evidence theory
    37 folds
    38 function
    39 imperfections
    40 inference
    41 interaction
    42 interval
    43 interval relations
    44 knowledge
    45 literature
    46 mass function
    47 measures
    48 memory applications
    49 memory prosthesis
    50 new ones
    51 one
    52 ontology
    53 ontology-based representation
    54 original algebra
    55 paper
    56 patients
    57 point
    58 precision results
    59 properties
    60 prosthesis
    61 prototype
    62 qualitative relations
    63 reasoning
    64 reasons
    65 relation
    66 representation
    67 results
    68 study
    69 table
    70 temporal data
    71 temporal reasoning
    72 temporal relations
    73 theory
    74 theory-based approach
    75 time interval
    76 time points
    77 transitivity tables
    78 types
    79 usefulness
    80 schema:name An Evidence Theory-Based Approach to Handling Conflicting Temporal Data in OWL 2
    81 schema:pagination 845-870
    82 schema:productId N70c6cd66471948b0b59b14ecafb1d8d4
    83 Nead3565f09d2458fb2bf6781bb6df7d5
    84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1149848884
    85 https://doi.org/10.1007/s00354-022-00187-x
    86 schema:sdDatePublished 2022-12-01T06:45
    87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    88 schema:sdPublisher N84177e5af8de426e930cd3dc5c6b333d
    89 schema:url https://doi.org/10.1007/s00354-022-00187-x
    90 sgo:license sg:explorer/license/
    91 sgo:sdDataset articles
    92 rdf:type schema:ScholarlyArticle
    93 N0cc4cd8645ea4f49985c6f4c0cb89977 rdf:first sg:person.011625777414.67
    94 rdf:rest N5a7e309f909a47adb24525df553aa20f
    95 N0f33bd37f5d14142bedf4c65fb9a9b54 rdf:first sg:person.07750341065.84
    96 rdf:rest Nbbf8aba33aa6491b9660fbcf9de58755
    97 N15efdcf70e0c47b5b4efed5766cf9497 schema:affiliation grid-institutes:grid.412124.0
    98 schema:familyName Kharfia
    99 schema:givenName Haithem
    100 rdf:type schema:Person
    101 N5a7e309f909a47adb24525df553aa20f rdf:first sg:person.013332340407.04
    102 rdf:rest N0f33bd37f5d14142bedf4c65fb9a9b54
    103 N70c6cd66471948b0b59b14ecafb1d8d4 schema:name dimensions_id
    104 schema:value pub.1149848884
    105 rdf:type schema:PropertyValue
    106 N73accf13831742338f901708cd24bad6 rdf:first sg:person.016644116173.24
    107 rdf:rest rdf:nil
    108 N84177e5af8de426e930cd3dc5c6b333d schema:name Springer Nature - SN SciGraph project
    109 rdf:type schema:Organization
    110 N84aeb270a0f9449097b166b04a5dcb3c schema:issueNumber 3
    111 rdf:type schema:PublicationIssue
    112 Na8293f5dc94e4e3eb9b4ccdb6a4f533a rdf:first sg:person.010641226441.92
    113 rdf:rest Nc35f28f2390e46dfb46e6ace3e76f208
    114 Nbbf8aba33aa6491b9660fbcf9de58755 rdf:first sg:person.016015755040.90
    115 rdf:rest Nfe3a93f76703464d8d79f036dc2372c4
    116 Nc2f4f5ecc5bf4f4eb454e2e2c3a10a10 schema:volumeNumber 40
    117 rdf:type schema:PublicationVolume
    118 Nc35f28f2390e46dfb46e6ace3e76f208 rdf:first N15efdcf70e0c47b5b4efed5766cf9497
    119 rdf:rest N73accf13831742338f901708cd24bad6
    120 Nead3565f09d2458fb2bf6781bb6df7d5 schema:name doi
    121 schema:value 10.1007/s00354-022-00187-x
    122 rdf:type schema:PropertyValue
    123 Nfe3a93f76703464d8d79f036dc2372c4 rdf:first sg:person.015035413735.51
    124 rdf:rest Na8293f5dc94e4e3eb9b4ccdb6a4f533a
    125 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    126 schema:name Information and Computing Sciences
    127 rdf:type schema:DefinedTerm
    128 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    129 schema:name Information Systems
    130 rdf:type schema:DefinedTerm
    131 sg:journal.1053619 schema:issn 0288-3635
    132 1882-7055
    133 schema:name New Generation Computing
    134 schema:publisher Springer Nature
    135 rdf:type schema:Periodical
    136 sg:person.010641226441.92 schema:affiliation grid-institutes:grid.412124.0
    137 schema:familyName Gargouri
    138 schema:givenName Faiez
    139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010641226441.92
    140 rdf:type schema:Person
    141 sg:person.011625777414.67 schema:affiliation grid-institutes:grid.36823.3c
    142 schema:familyName Achich
    143 schema:givenName Nassira
    144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011625777414.67
    145 rdf:type schema:Person
    146 sg:person.013332340407.04 schema:affiliation grid-institutes:grid.36823.3c
    147 schema:familyName Ghorbel
    148 schema:givenName Fatma
    149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013332340407.04
    150 rdf:type schema:Person
    151 sg:person.015035413735.51 schema:affiliation grid-institutes:grid.36823.3c
    152 schema:familyName Métais
    153 schema:givenName Elisabeth
    154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015035413735.51
    155 rdf:type schema:Person
    156 sg:person.016015755040.90 schema:affiliation grid-institutes:grid.36823.3c
    157 schema:familyName Hamdi
    158 schema:givenName Fayçal
    159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016015755040.90
    160 rdf:type schema:Person
    161 sg:person.016644116173.24 schema:affiliation grid-institutes:grid.412124.0
    162 schema:familyName Gargouri
    163 schema:givenName Bilel
    164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016644116173.24
    165 rdf:type schema:Person
    166 sg:person.07750341065.84 schema:affiliation grid-institutes:grid.486295.4
    167 schema:familyName Bouhamed
    168 schema:givenName Sonda Ammar
    169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07750341065.84
    170 rdf:type schema:Person
    171 sg:pub.10.1007/11431053_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014783006
    172 https://doi.org/10.1007/11431053_7
    173 rdf:type schema:CreativeWork
    174 sg:pub.10.1007/11853107_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014094982
    175 https://doi.org/10.1007/11853107_12
    176 rdf:type schema:CreativeWork
    177 sg:pub.10.1007/11916291_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048993788
    178 https://doi.org/10.1007/11916291_12
    179 rdf:type schema:CreativeWork
    180 sg:pub.10.1007/978-3-030-75018-3_35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1137834575
    181 https://doi.org/10.1007/978-3-030-75018-3_35
    182 rdf:type schema:CreativeWork
    183 sg:pub.10.1007/978-3-319-91947-8_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104185518
    184 https://doi.org/10.1007/978-3-319-91947-8_17
    185 rdf:type schema:CreativeWork
    186 sg:pub.10.1007/978-3-540-39964-3_57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013819270
    187 https://doi.org/10.1007/978-3-540-39964-3_57
    188 rdf:type schema:CreativeWork
    189 sg:pub.10.1007/978-3-540-44792-4_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000287614
    190 https://doi.org/10.1007/978-3-540-44792-4_3
    191 rdf:type schema:CreativeWork
    192 sg:pub.10.1007/978-3-540-89704-0_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006196786
    193 https://doi.org/10.1007/978-3-540-89704-0_3
    194 rdf:type schema:CreativeWork
    195 sg:pub.10.1007/978-3-642-02121-3_25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002481032
    196 https://doi.org/10.1007/978-3-642-02121-3_25
    197 rdf:type schema:CreativeWork
    198 sg:pub.10.1007/978-3-642-18472-7_8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038939660
    199 https://doi.org/10.1007/978-3-642-18472-7_8
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1023/a:1016636131405 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052355168
    202 https://doi.org/10.1023/a:1016636131405
    203 rdf:type schema:CreativeWork
    204 grid-institutes:grid.36823.3c schema:alternateName CEDRIC Laboratory, Conservatoire National des Arts et Métiers (CNAM), Paris, France
    205 schema:name CEDRIC Laboratory, Conservatoire National des Arts et Métiers (CNAM), Paris, France
    206 MIRACL Laboratory, University of Sfax, Sfax, Tunisia
    207 rdf:type schema:Organization
    208 grid-institutes:grid.412124.0 schema:alternateName MIRACL Laboratory, University of Sfax, Sfax, Tunisia
    209 schema:name MIRACL Laboratory, University of Sfax, Sfax, Tunisia
    210 rdf:type schema:Organization
    211 grid-institutes:grid.486295.4 schema:alternateName (iTi), IMT-Atlantique, Technopole Brest, Nantes, France
    212 schema:name (iTi), IMT-Atlantique, Technopole Brest, Nantes, France
    213 CEM Laboratory, University of Sfax, Sfax, Tunisia
    214 rdf:type schema:Organization
     




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


    ...