What Have Innsbruck and Leipzig in Common? Extracting Semantics from Wiki Content View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2007

AUTHORS

Sören Auer , Jens Lehmann

ABSTRACT

Wikis are established means for the collaborative authoring, versioning and publishing of textual articles. The Wikipedia project, for example, succeeded in creating the by far largest encyclopedia just on the basis of a wiki. Recently, several approaches have been proposed on how to extend wikis to allow the creation of structured and semantically enriched content. However, the means for creating semantically enriched structured content are already available and are, although unconsciously, even used by Wikipedia authors. In this article, we present a method for revealing this structured content by extracting information from template instances. We suggest ways to efficiently query the vast amount of extracted information (e.g. more than 8 million RDF statements for the English Wikipedia version alone), leading to astonishing query answering possibilities (such as for the title question). We analyze the quality of the extracted content, and propose strategies for quality improvements with just minor modifications of the wiki systems being currently used. More... »

PAGES

503-517

Book

TITLE

The Semantic Web: Research and Applications

ISBN

978-3-540-72666-1
978-3-540-72667-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-72667-8_36

DOI

http://dx.doi.org/10.1007/978-3-540-72667-8_36

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046332012


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": {
          "name": [
            "Universit\u00e4t Leipzig, Department of Computer Science, Johannisgasse 26, D-04103 Leipzig, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Auer", 
        "givenName": "S\u00f6ren", 
        "id": "sg:person.07377234042.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07377234042.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Universit\u00e4t Leipzig, Department of Computer Science, Johannisgasse 26, D-04103 Leipzig, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lehmann", 
        "givenName": "Jens", 
        "id": "sg:person.016325666777.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016325666777.06"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/11926078_53", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019685949", 
          "https://doi.org/10.1007/11926078_53"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11926078_53", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019685949", 
          "https://doi.org/10.1007/11926078_53"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.websem.2005.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020843849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.websem.2005.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020843849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.patcog.2004.01.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022346240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11926078_55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030414405", 
          "https://doi.org/10.1007/11926078_55"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11926078_55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030414405", 
          "https://doi.org/10.1007/11926078_55"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s100320200074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031692172", 
          "https://doi.org/10.1007/s100320200074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.cs.04.060190.002221", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036425691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10032-004-0120-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038982559", 
          "https://doi.org/10.1007/s10032-004-0120-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/860435.860479", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040183355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-45816-6_32", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041368308", 
          "https://doi.org/10.1007/3-540-45816-6_32"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1135777.1135863", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043205484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3115/990820.990869", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053690603"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007", 
    "datePublishedReg": "2007-01-01", 
    "description": "Wikis are established means for the collaborative authoring, versioning and publishing of textual articles. The Wikipedia project, for example, succeeded in creating the by far largest encyclopedia just on the basis of a wiki. Recently, several approaches have been proposed on how to extend wikis to allow the creation of structured and semantically enriched content. However, the means for creating semantically enriched structured content are already available and are, although unconsciously, even used by Wikipedia authors. In this article, we present a method for revealing this structured content by extracting information from template instances. We suggest ways to efficiently query the vast amount of extracted information (e.g. more than 8 million RDF statements for the English Wikipedia version alone), leading to astonishing query answering possibilities (such as for the title question). We analyze the quality of the extracted content, and propose strategies for quality improvements with just minor modifications of the wiki systems being currently used.", 
    "editor": [
      {
        "familyName": "Franconi", 
        "givenName": "Enrico", 
        "type": "Person"
      }, 
      {
        "familyName": "Kifer", 
        "givenName": "Michael", 
        "type": "Person"
      }, 
      {
        "familyName": "May", 
        "givenName": "Wolfgang", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-540-72667-8_36", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-540-72666-1", 
        "978-3-540-72667-8"
      ], 
      "name": "The Semantic Web: Research and Applications", 
      "type": "Book"
    }, 
    "name": "What Have Innsbruck and Leipzig in Common? Extracting Semantics from Wiki Content", 
    "pagination": "503-517", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-540-72667-8_36"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "dcb456b159775c72be31fa19eb2701c9f74a3866fd319d18f375a09e4daa9c3b"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1046332012"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-540-72667-8_36", 
      "https://app.dimensions.ai/details/publication/pub.1046332012"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T19:11", 
    "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_8684_00000272.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-540-72667-8_36"
  }
]
 

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.10.1007/978-3-540-72667-8_36'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-72667-8_36'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-72667-8_36'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-72667-8_36'


 

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

121 TRIPLES      23 PREDICATES      38 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-540-72667-8_36 schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author N82231bf4399441b5b4194917f42f866f
4 schema:citation sg:pub.10.1007/11926078_53
5 sg:pub.10.1007/11926078_55
6 sg:pub.10.1007/3-540-45816-6_32
7 sg:pub.10.1007/s10032-004-0120-9
8 sg:pub.10.1007/s100320200074
9 https://doi.org/10.1016/j.patcog.2004.01.012
10 https://doi.org/10.1016/j.websem.2005.06.003
11 https://doi.org/10.1145/1135777.1135863
12 https://doi.org/10.1145/860435.860479
13 https://doi.org/10.1146/annurev.cs.04.060190.002221
14 https://doi.org/10.3115/990820.990869
15 schema:datePublished 2007
16 schema:datePublishedReg 2007-01-01
17 schema:description Wikis are established means for the collaborative authoring, versioning and publishing of textual articles. The Wikipedia project, for example, succeeded in creating the by far largest encyclopedia just on the basis of a wiki. Recently, several approaches have been proposed on how to extend wikis to allow the creation of structured and semantically enriched content. However, the means for creating semantically enriched structured content are already available and are, although unconsciously, even used by Wikipedia authors. In this article, we present a method for revealing this structured content by extracting information from template instances. We suggest ways to efficiently query the vast amount of extracted information (e.g. more than 8 million RDF statements for the English Wikipedia version alone), leading to astonishing query answering possibilities (such as for the title question). We analyze the quality of the extracted content, and propose strategies for quality improvements with just minor modifications of the wiki systems being currently used.
18 schema:editor N17b3c1c0ad384fa5aa4c94b7c26ee0a6
19 schema:genre chapter
20 schema:inLanguage en
21 schema:isAccessibleForFree true
22 schema:isPartOf N9bb8df3949f840bcbe217450b2f461f3
23 schema:name What Have Innsbruck and Leipzig in Common? Extracting Semantics from Wiki Content
24 schema:pagination 503-517
25 schema:productId N10c7f8307a0b46dab9dbd4aeea807e13
26 N76806bd4b9ed43e4819839d0b2a52775
27 Naf5fa200db704468bc324039ff4d31c9
28 schema:publisher Nd0e55c7a4ff74ccca7a17e1d75807fb6
29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046332012
30 https://doi.org/10.1007/978-3-540-72667-8_36
31 schema:sdDatePublished 2019-04-15T19:11
32 schema:sdLicense https://scigraph.springernature.com/explorer/license/
33 schema:sdPublisher N98acd712f4f7472e96cd03b04b2e0a49
34 schema:url http://link.springer.com/10.1007/978-3-540-72667-8_36
35 sgo:license sg:explorer/license/
36 sgo:sdDataset chapters
37 rdf:type schema:Chapter
38 N10c7f8307a0b46dab9dbd4aeea807e13 schema:name readcube_id
39 schema:value dcb456b159775c72be31fa19eb2701c9f74a3866fd319d18f375a09e4daa9c3b
40 rdf:type schema:PropertyValue
41 N17b3c1c0ad384fa5aa4c94b7c26ee0a6 rdf:first Nba317577157b46c1bb18a78a0b5e080f
42 rdf:rest N72293386a781499e9df86c71ffe62853
43 N28d86db59fcf44d8aa6d209f87339de7 schema:familyName May
44 schema:givenName Wolfgang
45 rdf:type schema:Person
46 N38d6ee252883428a9aeb8fe068716881 schema:familyName Kifer
47 schema:givenName Michael
48 rdf:type schema:Person
49 N72293386a781499e9df86c71ffe62853 rdf:first N38d6ee252883428a9aeb8fe068716881
50 rdf:rest Nf27f7ad49ad24218ad6eba7060a19ab6
51 N76806bd4b9ed43e4819839d0b2a52775 schema:name doi
52 schema:value 10.1007/978-3-540-72667-8_36
53 rdf:type schema:PropertyValue
54 N82231bf4399441b5b4194917f42f866f rdf:first sg:person.07377234042.68
55 rdf:rest N91aaaf1b363143fb8fd00fe96799ab8a
56 N91aaaf1b363143fb8fd00fe96799ab8a rdf:first sg:person.016325666777.06
57 rdf:rest rdf:nil
58 N98acd712f4f7472e96cd03b04b2e0a49 schema:name Springer Nature - SN SciGraph project
59 rdf:type schema:Organization
60 N9bb8df3949f840bcbe217450b2f461f3 schema:isbn 978-3-540-72666-1
61 978-3-540-72667-8
62 schema:name The Semantic Web: Research and Applications
63 rdf:type schema:Book
64 N9c33993788eb4ae3abc884f143fc7fca schema:name Universität Leipzig, Department of Computer Science, Johannisgasse 26, D-04103 Leipzig, Germany
65 rdf:type schema:Organization
66 Naf5fa200db704468bc324039ff4d31c9 schema:name dimensions_id
67 schema:value pub.1046332012
68 rdf:type schema:PropertyValue
69 Nba317577157b46c1bb18a78a0b5e080f schema:familyName Franconi
70 schema:givenName Enrico
71 rdf:type schema:Person
72 Nd0e55c7a4ff74ccca7a17e1d75807fb6 schema:location Berlin, Heidelberg
73 schema:name Springer Berlin Heidelberg
74 rdf:type schema:Organisation
75 Nd421ce2f2f394b3ea054bed1ce30cc07 schema:name Universität Leipzig, Department of Computer Science, Johannisgasse 26, D-04103 Leipzig, Germany
76 rdf:type schema:Organization
77 Nf27f7ad49ad24218ad6eba7060a19ab6 rdf:first N28d86db59fcf44d8aa6d209f87339de7
78 rdf:rest rdf:nil
79 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
80 schema:name Information and Computing Sciences
81 rdf:type schema:DefinedTerm
82 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
83 schema:name Information Systems
84 rdf:type schema:DefinedTerm
85 sg:person.016325666777.06 schema:affiliation Nd421ce2f2f394b3ea054bed1ce30cc07
86 schema:familyName Lehmann
87 schema:givenName Jens
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016325666777.06
89 rdf:type schema:Person
90 sg:person.07377234042.68 schema:affiliation N9c33993788eb4ae3abc884f143fc7fca
91 schema:familyName Auer
92 schema:givenName Sören
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07377234042.68
94 rdf:type schema:Person
95 sg:pub.10.1007/11926078_53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019685949
96 https://doi.org/10.1007/11926078_53
97 rdf:type schema:CreativeWork
98 sg:pub.10.1007/11926078_55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030414405
99 https://doi.org/10.1007/11926078_55
100 rdf:type schema:CreativeWork
101 sg:pub.10.1007/3-540-45816-6_32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041368308
102 https://doi.org/10.1007/3-540-45816-6_32
103 rdf:type schema:CreativeWork
104 sg:pub.10.1007/s10032-004-0120-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038982559
105 https://doi.org/10.1007/s10032-004-0120-9
106 rdf:type schema:CreativeWork
107 sg:pub.10.1007/s100320200074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031692172
108 https://doi.org/10.1007/s100320200074
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1016/j.patcog.2004.01.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022346240
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/j.websem.2005.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020843849
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1145/1135777.1135863 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043205484
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1145/860435.860479 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040183355
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1146/annurev.cs.04.060190.002221 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036425691
119 rdf:type schema:CreativeWork
120 https://doi.org/10.3115/990820.990869 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053690603
121 rdf:type schema:CreativeWork
 




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


...