Ontology-Based Advertisement Recommendation in Social Networks View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Francisco García-Sánchez , José Antonio García-Díaz , Juan Miguel Gómez-Berbís , Rafael Valencia-García

ABSTRACT

With the advent of the Web 2.0 era, a new source of a vast amount of data about users become available. Advertisement recommendation systems are among the applications that can benefit from these data since they can help gain a better understanding of the users’ interests and preferences. However, new challenges emerge from the need to deal with heterogeneous data from disparate sources. Semantic technologies, in general, and ontologies, in particular, have proved effective for knowledge management and data integration. In this work, an ontology-based advertisement recommendation system that leverages the data produced by users in social networking sites is proposed. More... »

PAGES

36-44

Book

TITLE

Distributed Computing and Artificial Intelligence, 15th International Conference

ISBN

978-3-319-94648-1
978-3-319-94649-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-94649-8_5

DOI

http://dx.doi.org/10.1007/978-3-319-94649-8_5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105299314


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": "University of Murcia", 
          "id": "https://www.grid.ac/institutes/grid.10586.3a", 
          "name": [
            "Universidad de Murcia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garc\u00eda-S\u00e1nchez", 
        "givenName": "Francisco", 
        "id": "sg:person.015046075460.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015046075460.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Murcia", 
          "id": "https://www.grid.ac/institutes/grid.10586.3a", 
          "name": [
            "Universidad de Murcia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garc\u00eda-D\u00edaz", 
        "givenName": "Jos\u00e9 Antonio", 
        "id": "sg:person.012573474340.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012573474340.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Carlos III University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.7840.b", 
          "name": [
            "Universidad Carlos III de Madrid"
          ], 
          "type": "Organization"
        }, 
        "familyName": "G\u00f3mez-Berb\u00eds", 
        "givenName": "Juan Miguel", 
        "id": "sg:person.010612052235.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010612052235.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Murcia", 
          "id": "https://www.grid.ac/institutes/grid.10586.3a", 
          "name": [
            "Universidad de Murcia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Valencia-Garc\u00eda", 
        "givenName": "Rafael", 
        "id": "sg:person.012051275321.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012051275321.61"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.is.2016.11.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010185918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.datak.2016.12.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011722029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-29659-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022525812", 
          "https://doi.org/10.1007/978-3-319-29659-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-29659-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022525812", 
          "https://doi.org/10.1007/978-3-319-29659-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eswa.2012.03.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032799047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.websem.2009.01.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034548558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0165551516645528", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035218806"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0165551516645528", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035218806"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aci.2016.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040316049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/192844.192905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051044947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/mis.2006.62", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061405926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.knosys.2017.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083755241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neucom.2016.10.079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084098310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4018/jitr.2017100103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091309435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.future.2017.09.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091881819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chb.2017.10.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092478806"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/bigdata.2015.7363828", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093214809"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019", 
    "datePublishedReg": "2019-01-01", 
    "description": "With the advent of the Web 2.0 era, a new source of a vast amount of data about users become available. Advertisement recommendation systems are among the applications that can benefit from these data since they can help gain a better understanding of the users\u2019 interests and preferences. However, new challenges emerge from the need to deal with heterogeneous data from disparate sources. Semantic technologies, in general, and ontologies, in particular, have proved effective for knowledge management and data integration. In this work, an ontology-based advertisement recommendation system that leverages the data produced by users in social networking sites is proposed.", 
    "editor": [
      {
        "familyName": "De La Prieta", 
        "givenName": "Fernando", 
        "type": "Person"
      }, 
      {
        "familyName": "Omatu", 
        "givenName": "Sigeru", 
        "type": "Person"
      }, 
      {
        "familyName": "Fern\u00e1ndez-Caballero", 
        "givenName": "Antonio", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-94649-8_5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-319-94648-1", 
        "978-3-319-94649-8"
      ], 
      "name": "Distributed Computing and Artificial Intelligence, 15th International Conference", 
      "type": "Book"
    }, 
    "name": "Ontology-Based Advertisement Recommendation in Social Networks", 
    "pagination": "36-44", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-94649-8_5"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c0a0ef06f957dc9fa644ae7bb73e0d0b095229a1399642c9a3cb59cd6ec79af4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105299314"
        ]
      }
    ], 
    "publisher": {
      "location": "Cham", 
      "name": "Springer International Publishing", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-94649-8_5", 
      "https://app.dimensions.ai/details/publication/pub.1105299314"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T14:44", 
    "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_8669_00000433.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-319-94649-8_5"
  }
]
 

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.10.1007/978-3-319-94649-8_5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-94649-8_5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-94649-8_5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-94649-8_5'


 

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

145 TRIPLES      23 PREDICATES      42 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-94649-8_5 schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author Ne562fc12f3644a70acdf241544b4a97b
4 schema:citation sg:pub.10.1007/978-3-319-29659-3
5 https://doi.org/10.1016/j.aci.2016.08.002
6 https://doi.org/10.1016/j.chb.2017.10.033
7 https://doi.org/10.1016/j.datak.2016.12.003
8 https://doi.org/10.1016/j.eswa.2012.03.025
9 https://doi.org/10.1016/j.future.2017.09.015
10 https://doi.org/10.1016/j.is.2016.11.003
11 https://doi.org/10.1016/j.knosys.2017.02.009
12 https://doi.org/10.1016/j.neucom.2016.10.079
13 https://doi.org/10.1016/j.websem.2009.01.001
14 https://doi.org/10.1109/bigdata.2015.7363828
15 https://doi.org/10.1109/mis.2006.62
16 https://doi.org/10.1145/192844.192905
17 https://doi.org/10.1177/0165551516645528
18 https://doi.org/10.4018/jitr.2017100103
19 schema:datePublished 2019
20 schema:datePublishedReg 2019-01-01
21 schema:description With the advent of the Web 2.0 era, a new source of a vast amount of data about users become available. Advertisement recommendation systems are among the applications that can benefit from these data since they can help gain a better understanding of the users’ interests and preferences. However, new challenges emerge from the need to deal with heterogeneous data from disparate sources. Semantic technologies, in general, and ontologies, in particular, have proved effective for knowledge management and data integration. In this work, an ontology-based advertisement recommendation system that leverages the data produced by users in social networking sites is proposed.
22 schema:editor N207848e7a88d40cb801dec327f0c0c13
23 schema:genre chapter
24 schema:inLanguage en
25 schema:isAccessibleForFree false
26 schema:isPartOf N542eb62d4942448a95263646b03cabab
27 schema:name Ontology-Based Advertisement Recommendation in Social Networks
28 schema:pagination 36-44
29 schema:productId N20c8df3a023f4f61a74ccf531333051a
30 N29d65e7f694743a99ed118d7d7d5973e
31 Nf0c3e6b643fc4f0d9eebae4aba7b63d5
32 schema:publisher N4d94ab528ea14b4fb67a756a4e52647e
33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105299314
34 https://doi.org/10.1007/978-3-319-94649-8_5
35 schema:sdDatePublished 2019-04-15T14:44
36 schema:sdLicense https://scigraph.springernature.com/explorer/license/
37 schema:sdPublisher N9b7d65e5d8f648b5b72e7cfe4aee716b
38 schema:url http://link.springer.com/10.1007/978-3-319-94649-8_5
39 sgo:license sg:explorer/license/
40 sgo:sdDataset chapters
41 rdf:type schema:Chapter
42 N07680b196d5e4e9aafd0e206b39aa090 schema:familyName Fernández-Caballero
43 schema:givenName Antonio
44 rdf:type schema:Person
45 N207848e7a88d40cb801dec327f0c0c13 rdf:first N69ba77cc74f04f3494891d0d30596a01
46 rdf:rest Ncba4248c1dff4c229d7c79e0c1d9fee1
47 N20c8df3a023f4f61a74ccf531333051a schema:name dimensions_id
48 schema:value pub.1105299314
49 rdf:type schema:PropertyValue
50 N29d65e7f694743a99ed118d7d7d5973e schema:name readcube_id
51 schema:value c0a0ef06f957dc9fa644ae7bb73e0d0b095229a1399642c9a3cb59cd6ec79af4
52 rdf:type schema:PropertyValue
53 N4d94ab528ea14b4fb67a756a4e52647e schema:location Cham
54 schema:name Springer International Publishing
55 rdf:type schema:Organisation
56 N4fb30038e5004286bcb6a2d1119610d5 rdf:first N07680b196d5e4e9aafd0e206b39aa090
57 rdf:rest rdf:nil
58 N542eb62d4942448a95263646b03cabab schema:isbn 978-3-319-94648-1
59 978-3-319-94649-8
60 schema:name Distributed Computing and Artificial Intelligence, 15th International Conference
61 rdf:type schema:Book
62 N69ba77cc74f04f3494891d0d30596a01 schema:familyName De La Prieta
63 schema:givenName Fernando
64 rdf:type schema:Person
65 N879fb43f68b14ba187851cd747d8035a schema:familyName Omatu
66 schema:givenName Sigeru
67 rdf:type schema:Person
68 N9b7d65e5d8f648b5b72e7cfe4aee716b schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 Nbdeed67f04d1401d813b1bffc0477072 rdf:first sg:person.012573474340.45
71 rdf:rest Nfbbaf4aed10c438e81e0ae5dd2ee6985
72 Ncba4248c1dff4c229d7c79e0c1d9fee1 rdf:first N879fb43f68b14ba187851cd747d8035a
73 rdf:rest N4fb30038e5004286bcb6a2d1119610d5
74 Ndaf8143a2e6e40878b3918494f0d533b rdf:first sg:person.012051275321.61
75 rdf:rest rdf:nil
76 Ne562fc12f3644a70acdf241544b4a97b rdf:first sg:person.015046075460.11
77 rdf:rest Nbdeed67f04d1401d813b1bffc0477072
78 Nf0c3e6b643fc4f0d9eebae4aba7b63d5 schema:name doi
79 schema:value 10.1007/978-3-319-94649-8_5
80 rdf:type schema:PropertyValue
81 Nfbbaf4aed10c438e81e0ae5dd2ee6985 rdf:first sg:person.010612052235.31
82 rdf:rest Ndaf8143a2e6e40878b3918494f0d533b
83 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
84 schema:name Information and Computing Sciences
85 rdf:type schema:DefinedTerm
86 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
87 schema:name Information Systems
88 rdf:type schema:DefinedTerm
89 sg:person.010612052235.31 schema:affiliation https://www.grid.ac/institutes/grid.7840.b
90 schema:familyName Gómez-Berbís
91 schema:givenName Juan Miguel
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010612052235.31
93 rdf:type schema:Person
94 sg:person.012051275321.61 schema:affiliation https://www.grid.ac/institutes/grid.10586.3a
95 schema:familyName Valencia-García
96 schema:givenName Rafael
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012051275321.61
98 rdf:type schema:Person
99 sg:person.012573474340.45 schema:affiliation https://www.grid.ac/institutes/grid.10586.3a
100 schema:familyName García-Díaz
101 schema:givenName José Antonio
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012573474340.45
103 rdf:type schema:Person
104 sg:person.015046075460.11 schema:affiliation https://www.grid.ac/institutes/grid.10586.3a
105 schema:familyName García-Sánchez
106 schema:givenName Francisco
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015046075460.11
108 rdf:type schema:Person
109 sg:pub.10.1007/978-3-319-29659-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022525812
110 https://doi.org/10.1007/978-3-319-29659-3
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/j.aci.2016.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040316049
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/j.chb.2017.10.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092478806
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/j.datak.2016.12.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011722029
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/j.eswa.2012.03.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032799047
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/j.future.2017.09.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091881819
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/j.is.2016.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010185918
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.knosys.2017.02.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083755241
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/j.neucom.2016.10.079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084098310
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/j.websem.2009.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034548558
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1109/bigdata.2015.7363828 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093214809
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1109/mis.2006.62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061405926
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1145/192844.192905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051044947
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1177/0165551516645528 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035218806
137 rdf:type schema:CreativeWork
138 https://doi.org/10.4018/jitr.2017100103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091309435
139 rdf:type schema:CreativeWork
140 https://www.grid.ac/institutes/grid.10586.3a schema:alternateName University of Murcia
141 schema:name Universidad de Murcia
142 rdf:type schema:Organization
143 https://www.grid.ac/institutes/grid.7840.b schema:alternateName Carlos III University of Madrid
144 schema:name Universidad Carlos III de Madrid
145 rdf:type schema:Organization
 




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


...