Policy-Aware Content Reuse on the Web View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2009

AUTHORS

Oshani Seneviratne , Lalana Kagal , Tim Berners-Lee

ABSTRACT

The Web allows users to share their work very effectively leading to the rapid re-use and remixing of content on the Web including text, images, and videos. Scientific research data, social networks, blogs, photo sharing sites and other such applications known collectively as the Social Web have lots of increasingly complex information. Such information from several Web pages can be very easily aggregated, mashed up and presented in other Web pages. Content generation of this nature inevitably leads to many copyright and license violations, motivating research into effective methods to detect and prevent such violations.This is supported by an experiment on Creative Commons (CC) attribution license violations from samples of Web pages that had at least one embedded Flickr image, which revealed that the attribution license violation rate of Flickr images on the Web is around 70-90%. Our primary objective is to enable users to do the right thing and comply with CC licenses associated with Web media, instead of preventing them from doing the wrong thing or detecting violations of these licenses. As a solution, we have implemented two applications: (1) Attribution License Violations Validator, which can be used to validate users’ derived work against attribution licenses of reused media and, (2) Semantic Clipboard, which provides license awareness of Web media and enables users to copy them along with the appropriate license metadata. More... »

PAGES

553-568

Book

TITLE

The Semantic Web - ISWC 2009

ISBN

978-3-642-04929-3
978-3-642-04930-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-04930-9_35

DOI

http://dx.doi.org/10.1007/978-3-642-04930-9_35

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038127452


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/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "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": "MIT CSAIL, Cambridge, Massachusetts, USA", 
          "id": "http://www.grid.ac/institutes/grid.116068.8", 
          "name": [
            "MIT CSAIL, Cambridge, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Seneviratne", 
        "givenName": "Oshani", 
        "id": "sg:person.011633436541.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011633436541.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "MIT CSAIL, Cambridge, Massachusetts, USA", 
          "id": "http://www.grid.ac/institutes/grid.116068.8", 
          "name": [
            "MIT CSAIL, Cambridge, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kagal", 
        "givenName": "Lalana", 
        "id": "sg:person.013650411761.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013650411761.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "MIT CSAIL, Cambridge, Massachusetts, USA", 
          "id": "http://www.grid.ac/institutes/grid.116068.8", 
          "name": [
            "MIT CSAIL, Cambridge, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Berners-Lee", 
        "givenName": "Tim", 
        "id": "sg:person.01311060163.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01311060163.26"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2009", 
    "datePublishedReg": "2009-01-01", 
    "description": "The Web allows users to share their work very effectively leading to the rapid re-use and remixing of content on the Web including text, images, and videos. Scientific research data, social networks, blogs, photo sharing sites and other such applications known collectively as the Social Web have lots of increasingly complex information. Such information from several Web pages can be very easily aggregated, mashed up and presented in other Web pages. Content generation of this nature inevitably leads to many copyright and license violations, motivating research into effective methods to detect and prevent such violations.This is supported by an experiment on Creative Commons (CC) attribution license violations from samples of Web pages that had at least one embedded Flickr image, which revealed that the attribution license violation rate of Flickr images on the Web is around 70-90%. Our primary objective is to enable users to do the right thing and comply with CC licenses associated with Web media, instead of preventing them from doing the wrong thing or detecting violations of these licenses. As a solution, we have implemented two applications: (1) Attribution License Violations Validator, which can be used to validate users\u2019 derived work against attribution licenses of reused media and, (2) Semantic Clipboard, which provides license awareness of Web media and enables users to copy them along with the appropriate license metadata.", 
    "editor": [
      {
        "familyName": "Bernstein", 
        "givenName": "Abraham", 
        "type": "Person"
      }, 
      {
        "familyName": "Karger", 
        "givenName": "David R.", 
        "type": "Person"
      }, 
      {
        "familyName": "Heath", 
        "givenName": "Tom", 
        "type": "Person"
      }, 
      {
        "familyName": "Feigenbaum", 
        "givenName": "Lee", 
        "type": "Person"
      }, 
      {
        "familyName": "Maynard", 
        "givenName": "Diana", 
        "type": "Person"
      }, 
      {
        "familyName": "Motta", 
        "givenName": "Enrico", 
        "type": "Person"
      }, 
      {
        "familyName": "Thirunarayan", 
        "givenName": "Krishnaprasad", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-04930-9_35", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-642-04929-3", 
        "978-3-642-04930-9"
      ], 
      "name": "The Semantic Web - ISWC 2009", 
      "type": "Book"
    }, 
    "keywords": [
      "web pages", 
      "Flickr images", 
      "license violations", 
      "web media", 
      "photo sharing sites", 
      "content reuse", 
      "scientific research data", 
      "social web", 
      "sharing sites", 
      "content generation", 
      "social networks", 
      "such applications", 
      "users", 
      "complex information", 
      "CC licenses", 
      "Attribution License", 
      "Web", 
      "pages", 
      "violation rate", 
      "images", 
      "such information", 
      "things", 
      "license", 
      "metadata", 
      "such violations", 
      "clipboard", 
      "video", 
      "information", 
      "network", 
      "applications", 
      "reuse", 
      "research data", 
      "blogs", 
      "violation", 
      "validators", 
      "effective method", 
      "work", 
      "text", 
      "remixing", 
      "wrong thing", 
      "solution", 
      "data", 
      "method", 
      "experiments", 
      "right thing", 
      "generation", 
      "research", 
      "primary objective", 
      "awareness", 
      "objective", 
      "content", 
      "medium", 
      "nature", 
      "rate", 
      "sites", 
      "samples", 
      "copyright"
    ], 
    "name": "Policy-Aware Content Reuse on the Web", 
    "pagination": "553-568", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038127452"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-04930-9_35"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-04930-9_35", 
      "https://app.dimensions.ai/details/publication/pub.1038127452"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-06-01T22:27", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/chapter/chapter_120.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-04930-9_35"
  }
]
 

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.10.1007/978-3-642-04930-9_35'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-04930-9_35'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-04930-9_35'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-04930-9_35'


 

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

165 TRIPLES      23 PREDICATES      84 URIs      76 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-04930-9_35 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 anzsrc-for:0806
4 schema:author N4d1a8c403ba64c75aafed0740097bc06
5 schema:datePublished 2009
6 schema:datePublishedReg 2009-01-01
7 schema:description The Web allows users to share their work very effectively leading to the rapid re-use and remixing of content on the Web including text, images, and videos. Scientific research data, social networks, blogs, photo sharing sites and other such applications known collectively as the Social Web have lots of increasingly complex information. Such information from several Web pages can be very easily aggregated, mashed up and presented in other Web pages. Content generation of this nature inevitably leads to many copyright and license violations, motivating research into effective methods to detect and prevent such violations.This is supported by an experiment on Creative Commons (CC) attribution license violations from samples of Web pages that had at least one embedded Flickr image, which revealed that the attribution license violation rate of Flickr images on the Web is around 70-90%. Our primary objective is to enable users to do the right thing and comply with CC licenses associated with Web media, instead of preventing them from doing the wrong thing or detecting violations of these licenses. As a solution, we have implemented two applications: (1) Attribution License Violations Validator, which can be used to validate users’ derived work against attribution licenses of reused media and, (2) Semantic Clipboard, which provides license awareness of Web media and enables users to copy them along with the appropriate license metadata.
8 schema:editor N5690d1f51e524eb69434f45d61718c97
9 schema:genre chapter
10 schema:inLanguage en
11 schema:isAccessibleForFree true
12 schema:isPartOf Nf702219170f24817a0a12f5e6ce411ed
13 schema:keywords Attribution License
14 CC licenses
15 Flickr images
16 Web
17 applications
18 awareness
19 blogs
20 clipboard
21 complex information
22 content
23 content generation
24 content reuse
25 copyright
26 data
27 effective method
28 experiments
29 generation
30 images
31 information
32 license
33 license violations
34 medium
35 metadata
36 method
37 nature
38 network
39 objective
40 pages
41 photo sharing sites
42 primary objective
43 rate
44 remixing
45 research
46 research data
47 reuse
48 right thing
49 samples
50 scientific research data
51 sharing sites
52 sites
53 social networks
54 social web
55 solution
56 such applications
57 such information
58 such violations
59 text
60 things
61 users
62 validators
63 video
64 violation
65 violation rate
66 web media
67 web pages
68 work
69 wrong thing
70 schema:name Policy-Aware Content Reuse on the Web
71 schema:pagination 553-568
72 schema:productId Na8673a02f645410a94d34811c64ea6bf
73 Ne17a2d577c0e4f1da1d4d15ec28d902f
74 schema:publisher Nb0f18aa7581845c39ee7e92ae8d2056b
75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038127452
76 https://doi.org/10.1007/978-3-642-04930-9_35
77 schema:sdDatePublished 2022-06-01T22:27
78 schema:sdLicense https://scigraph.springernature.com/explorer/license/
79 schema:sdPublisher Nf76399ec321343e68ef5ceea980ec413
80 schema:url https://doi.org/10.1007/978-3-642-04930-9_35
81 sgo:license sg:explorer/license/
82 sgo:sdDataset chapters
83 rdf:type schema:Chapter
84 N0c369e6bebdd40c2819fd023508900b3 schema:familyName Karger
85 schema:givenName David R.
86 rdf:type schema:Person
87 N10d56c10e0864d21bfd124ec1b08da7e rdf:first N485cda643e91434486203f50639bbe27
88 rdf:rest N112030ef7ddd4581bac9721401e5e49b
89 N112030ef7ddd4581bac9721401e5e49b rdf:first N71ac1b034e844b18b405dcb818384ceb
90 rdf:rest N3ba0246b9a454fba953023ae3a3f8745
91 N21a6e08e364640c7aaa25e2759484cd2 schema:familyName Thirunarayan
92 schema:givenName Krishnaprasad
93 rdf:type schema:Person
94 N257c5884000246ed9b417cc89d44f3f4 rdf:first sg:person.013650411761.05
95 rdf:rest N3c6ff4d236804a8f809de20660aa978d
96 N3af02dbe209441f3913a1b10f16d679f rdf:first Nfda469850ee9420a94537686679baa07
97 rdf:rest Ne4a86a4338d840cc9f1d9b48aee0361d
98 N3ba0246b9a454fba953023ae3a3f8745 rdf:first N904e0f48a51b4743bf70b388fd2c2e4a
99 rdf:rest N3af02dbe209441f3913a1b10f16d679f
100 N3c6ff4d236804a8f809de20660aa978d rdf:first sg:person.01311060163.26
101 rdf:rest rdf:nil
102 N485cda643e91434486203f50639bbe27 schema:familyName Heath
103 schema:givenName Tom
104 rdf:type schema:Person
105 N4d1a8c403ba64c75aafed0740097bc06 rdf:first sg:person.011633436541.93
106 rdf:rest N257c5884000246ed9b417cc89d44f3f4
107 N5690d1f51e524eb69434f45d61718c97 rdf:first N626ce48c24c7475e8f5f82569ba9d6c5
108 rdf:rest N7f25aefc89164564a5eb8dd71508f392
109 N626ce48c24c7475e8f5f82569ba9d6c5 schema:familyName Bernstein
110 schema:givenName Abraham
111 rdf:type schema:Person
112 N71ac1b034e844b18b405dcb818384ceb schema:familyName Feigenbaum
113 schema:givenName Lee
114 rdf:type schema:Person
115 N7f25aefc89164564a5eb8dd71508f392 rdf:first N0c369e6bebdd40c2819fd023508900b3
116 rdf:rest N10d56c10e0864d21bfd124ec1b08da7e
117 N904e0f48a51b4743bf70b388fd2c2e4a schema:familyName Maynard
118 schema:givenName Diana
119 rdf:type schema:Person
120 Na8673a02f645410a94d34811c64ea6bf schema:name dimensions_id
121 schema:value pub.1038127452
122 rdf:type schema:PropertyValue
123 Nb0f18aa7581845c39ee7e92ae8d2056b schema:name Springer Nature
124 rdf:type schema:Organisation
125 Ne17a2d577c0e4f1da1d4d15ec28d902f schema:name doi
126 schema:value 10.1007/978-3-642-04930-9_35
127 rdf:type schema:PropertyValue
128 Ne4a86a4338d840cc9f1d9b48aee0361d rdf:first N21a6e08e364640c7aaa25e2759484cd2
129 rdf:rest rdf:nil
130 Nf702219170f24817a0a12f5e6ce411ed schema:isbn 978-3-642-04929-3
131 978-3-642-04930-9
132 schema:name The Semantic Web - ISWC 2009
133 rdf:type schema:Book
134 Nf76399ec321343e68ef5ceea980ec413 schema:name Springer Nature - SN SciGraph project
135 rdf:type schema:Organization
136 Nfda469850ee9420a94537686679baa07 schema:familyName Motta
137 schema:givenName Enrico
138 rdf:type schema:Person
139 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
140 schema:name Information and Computing Sciences
141 rdf:type schema:DefinedTerm
142 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
143 schema:name Artificial Intelligence and Image Processing
144 rdf:type schema:DefinedTerm
145 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
146 schema:name Information Systems
147 rdf:type schema:DefinedTerm
148 sg:person.011633436541.93 schema:affiliation grid-institutes:grid.116068.8
149 schema:familyName Seneviratne
150 schema:givenName Oshani
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011633436541.93
152 rdf:type schema:Person
153 sg:person.01311060163.26 schema:affiliation grid-institutes:grid.116068.8
154 schema:familyName Berners-Lee
155 schema:givenName Tim
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01311060163.26
157 rdf:type schema:Person
158 sg:person.013650411761.05 schema:affiliation grid-institutes:grid.116068.8
159 schema:familyName Kagal
160 schema:givenName Lalana
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013650411761.05
162 rdf:type schema:Person
163 grid-institutes:grid.116068.8 schema:alternateName MIT CSAIL, Cambridge, Massachusetts, USA
164 schema:name MIT CSAIL, Cambridge, Massachusetts, USA
165 rdf:type schema:Organization
 




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


...