Piggy Bank: Experience the Semantic Web Inside Your Web Browser View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2005

AUTHORS

David Huynh , Stefano Mazzocchi , David Karger

ABSTRACT

The Semantic Web Initiative envisions a Web wherein information is offered free of presentation, allowing more effective exchange and mixing across web sites and across web pages. But without substantial Semantic Web content, few tools will be written to consume it; without many such tools, there is little appeal to publish Semantic Web content. To break this chicken-and-egg problem, thus enabling more flexible informa-tion access, we have created a web browser extension called Piggy Bankthat lets users make use of Semantic Web content within Web content as users browse the Web. Wherever Semantic Web content is not available, Piggy Bank can invoke screenscrapers to re-structure information within web pages into Semantic Web format. Through the use of Semantic Web technologies, Piggy Bank provides direct, immediate benefits to users in their use of the existing Web. Thus, the ex-istence of even just a few Semantic Web-enabled sites or a few scrapers already benefits users. Piggy Bank thereby offers an easy, incremental upgrade path to users without requiring a wholesale adoption of the Semantic Web’s vision. To further improve this Semantic Web experience, we have created Semantic Bank, a web server application that lets Piggy Bank users share the Semantic Web information they have collected, enabling collaborative efforts to build so-phisticated Semantic Web information repositories through simple, everyday’s use of Piggy Bank. More... »

PAGES

413-430

Book

TITLE

The Semantic Web – ISWC 2005

ISBN

978-3-540-29754-3
978-3-540-32082-1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/11574620_31

DOI

http://dx.doi.org/10.1007/11574620_31

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046110945


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": "Massachusetts Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.116068.8", 
          "name": [
            "MIT Computer Science and Artificial Intelligence Laboratory, The Stata Center, Building 32, 32 Vassar Street, Cambridge, MA\u00a002139, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huynh", 
        "givenName": "David", 
        "id": "sg:person.015635460153.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015635460153.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Massachusetts Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.116068.8", 
          "name": [
            "MIT Digital Libraries Research Group, 77 Massachusetts Ave., Cambridge, MA\u00a002139, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mazzocchi", 
        "givenName": "Stefano", 
        "id": "sg:person.011305264253.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011305264253.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Massachusetts Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.116068.8", 
          "name": [
            "MIT Computer Science and Artificial Intelligence Laboratory, The Stata Center, Building 32, 32 Vassar Street, Cambridge, MA\u00a002139, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Karger", 
        "givenName": "David", 
        "id": "sg:person.01145100326.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145100326.33"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/b978-0-7506-6731-9.50020-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003932575"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-6870(88)90199-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006100676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-6870(88)90199-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006100676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/642611.642681", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008763052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1066157.1066169", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013489938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1389-1286(02)00220-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016878409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/357423.357430", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021673698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1095034.1095062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027499512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1060745.1060762", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033144195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/988672.988707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046950948"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/238386.238530", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051280230"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005", 
    "datePublishedReg": "2005-01-01", 
    "description": "The Semantic Web Initiative envisions a Web wherein information is offered free of presentation, allowing more effective exchange and mixing across web sites and across web pages. But without substantial Semantic Web content, few tools will be written to consume it; without many such tools, there is little appeal to publish Semantic Web content. To break this chicken-and-egg problem, thus enabling more flexible informa-tion access, we have created a web browser extension called Piggy Bankthat lets users make use of Semantic Web content within Web content as users browse the Web. Wherever Semantic Web content is not available, Piggy Bank can invoke screenscrapers to re-structure information within web pages into Semantic Web format. Through the use of Semantic Web technologies, Piggy Bank provides direct, immediate benefits to users in their use of the existing Web. Thus, the ex-istence of even just a few Semantic Web-enabled sites or a few scrapers already benefits users. Piggy Bank thereby offers an easy, incremental upgrade path to users without requiring a wholesale adoption of the Semantic Web\u2019s vision. To further improve this Semantic Web experience, we have created Semantic Bank, a web server application that lets Piggy Bank users share the Semantic Web information they have collected, enabling collaborative efforts to build so-phisticated Semantic Web information repositories through simple, everyday\u2019s use of Piggy Bank.", 
    "editor": [
      {
        "familyName": "Gil", 
        "givenName": "Yolanda", 
        "type": "Person"
      }, 
      {
        "familyName": "Motta", 
        "givenName": "Enrico", 
        "type": "Person"
      }, 
      {
        "familyName": "Benjamins", 
        "givenName": "V. Richard", 
        "type": "Person"
      }, 
      {
        "familyName": "Musen", 
        "givenName": "Mark A.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/11574620_31", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-540-29754-3", 
        "978-3-540-32082-1"
      ], 
      "name": "The Semantic Web \u2013 ISWC 2005", 
      "type": "Book"
    }, 
    "name": "Piggy Bank: Experience the Semantic Web Inside Your Web Browser", 
    "pagination": "413-430", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/11574620_31"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "dba5afba26a5b590732f2f0b6927d83e602d56ee7fca324d284e6dfca4e8d08c"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1046110945"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/11574620_31", 
      "https://app.dimensions.ai/details/publication/pub.1046110945"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T11:37", 
    "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_8660_00000272.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/11574620_31"
  }
]
 

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.10.1007/11574620_31'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/11574620_31'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/11574620_31'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/11574620_31'


 

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

125 TRIPLES      23 PREDICATES      37 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/11574620_31 schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author N8ecebd08a96a4870abf3d69615e00371
4 schema:citation https://doi.org/10.1016/0003-6870(88)90199-8
5 https://doi.org/10.1016/b978-0-7506-6731-9.50020-x
6 https://doi.org/10.1016/s1389-1286(02)00220-7
7 https://doi.org/10.1145/1060745.1060762
8 https://doi.org/10.1145/1066157.1066169
9 https://doi.org/10.1145/1095034.1095062
10 https://doi.org/10.1145/238386.238530
11 https://doi.org/10.1145/357423.357430
12 https://doi.org/10.1145/642611.642681
13 https://doi.org/10.1145/988672.988707
14 schema:datePublished 2005
15 schema:datePublishedReg 2005-01-01
16 schema:description The Semantic Web Initiative envisions a Web wherein information is offered free of presentation, allowing more effective exchange and mixing across web sites and across web pages. But without substantial Semantic Web content, few tools will be written to consume it; without many such tools, there is little appeal to publish Semantic Web content. To break this chicken-and-egg problem, thus enabling more flexible informa-tion access, we have created a web browser extension called Piggy Bankthat lets users make use of Semantic Web content within Web content as users browse the Web. Wherever Semantic Web content is not available, Piggy Bank can invoke screenscrapers to re-structure information within web pages into Semantic Web format. Through the use of Semantic Web technologies, Piggy Bank provides direct, immediate benefits to users in their use of the existing Web. Thus, the ex-istence of even just a few Semantic Web-enabled sites or a few scrapers already benefits users. Piggy Bank thereby offers an easy, incremental upgrade path to users without requiring a wholesale adoption of the Semantic Web’s vision. To further improve this Semantic Web experience, we have created Semantic Bank, a web server application that lets Piggy Bank users share the Semantic Web information they have collected, enabling collaborative efforts to build so-phisticated Semantic Web information repositories through simple, everyday’s use of Piggy Bank.
17 schema:editor N6e2374c5518d4206ab4b16bf862eff3b
18 schema:genre chapter
19 schema:inLanguage en
20 schema:isAccessibleForFree true
21 schema:isPartOf Nd905d7eeee074f53a69bbda4436e91e6
22 schema:name Piggy Bank: Experience the Semantic Web Inside Your Web Browser
23 schema:pagination 413-430
24 schema:productId N4b8dbba86e4b4b629a5ef29d2432ac44
25 N7472176e462d49eeb4177003d78b87e5
26 N966ca438031042b780adeb1cbda1aa28
27 schema:publisher N981b31adcb4241a68064104b4dffec03
28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046110945
29 https://doi.org/10.1007/11574620_31
30 schema:sdDatePublished 2019-04-15T11:37
31 schema:sdLicense https://scigraph.springernature.com/explorer/license/
32 schema:sdPublisher N7926d21fc841486fb7e3c5bc980b3be2
33 schema:url http://link.springer.com/10.1007/11574620_31
34 sgo:license sg:explorer/license/
35 sgo:sdDataset chapters
36 rdf:type schema:Chapter
37 N0eb45bde7d2e448e8e910c6a5c12b238 rdf:first sg:person.011305264253.45
38 rdf:rest N8b79f3734f8547c0a46332e1e35f5b83
39 N1d544a0dd38d40a385037d07ec404c09 schema:familyName Gil
40 schema:givenName Yolanda
41 rdf:type schema:Person
42 N2dba77ea03484ed798b1b7ba5f7e66c6 schema:familyName Motta
43 schema:givenName Enrico
44 rdf:type schema:Person
45 N4b8dbba86e4b4b629a5ef29d2432ac44 schema:name doi
46 schema:value 10.1007/11574620_31
47 rdf:type schema:PropertyValue
48 N6021aadc537340edb2f0e0f44df13ff4 schema:familyName Musen
49 schema:givenName Mark A.
50 rdf:type schema:Person
51 N6710b04e98b2437ca8b29e988363a707 rdf:first N6021aadc537340edb2f0e0f44df13ff4
52 rdf:rest rdf:nil
53 N6e2374c5518d4206ab4b16bf862eff3b rdf:first N1d544a0dd38d40a385037d07ec404c09
54 rdf:rest Nf4a04a7875d24557bb803ff3f9b4f88a
55 N7472176e462d49eeb4177003d78b87e5 schema:name readcube_id
56 schema:value dba5afba26a5b590732f2f0b6927d83e602d56ee7fca324d284e6dfca4e8d08c
57 rdf:type schema:PropertyValue
58 N7926d21fc841486fb7e3c5bc980b3be2 schema:name Springer Nature - SN SciGraph project
59 rdf:type schema:Organization
60 N81b1d9ff83d8477eaec3c0e66dfc1ec4 schema:familyName Benjamins
61 schema:givenName V. Richard
62 rdf:type schema:Person
63 N8b79f3734f8547c0a46332e1e35f5b83 rdf:first sg:person.01145100326.33
64 rdf:rest rdf:nil
65 N8ecebd08a96a4870abf3d69615e00371 rdf:first sg:person.015635460153.46
66 rdf:rest N0eb45bde7d2e448e8e910c6a5c12b238
67 N966ca438031042b780adeb1cbda1aa28 schema:name dimensions_id
68 schema:value pub.1046110945
69 rdf:type schema:PropertyValue
70 N981b31adcb4241a68064104b4dffec03 schema:location Berlin, Heidelberg
71 schema:name Springer Berlin Heidelberg
72 rdf:type schema:Organisation
73 Nb52e07dd2f154c92858ba63349ab17dc rdf:first N81b1d9ff83d8477eaec3c0e66dfc1ec4
74 rdf:rest N6710b04e98b2437ca8b29e988363a707
75 Nd905d7eeee074f53a69bbda4436e91e6 schema:isbn 978-3-540-29754-3
76 978-3-540-32082-1
77 schema:name The Semantic Web – ISWC 2005
78 rdf:type schema:Book
79 Nf4a04a7875d24557bb803ff3f9b4f88a rdf:first N2dba77ea03484ed798b1b7ba5f7e66c6
80 rdf:rest Nb52e07dd2f154c92858ba63349ab17dc
81 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
82 schema:name Information and Computing Sciences
83 rdf:type schema:DefinedTerm
84 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
85 schema:name Information Systems
86 rdf:type schema:DefinedTerm
87 sg:person.011305264253.45 schema:affiliation https://www.grid.ac/institutes/grid.116068.8
88 schema:familyName Mazzocchi
89 schema:givenName Stefano
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011305264253.45
91 rdf:type schema:Person
92 sg:person.01145100326.33 schema:affiliation https://www.grid.ac/institutes/grid.116068.8
93 schema:familyName Karger
94 schema:givenName David
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145100326.33
96 rdf:type schema:Person
97 sg:person.015635460153.46 schema:affiliation https://www.grid.ac/institutes/grid.116068.8
98 schema:familyName Huynh
99 schema:givenName David
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015635460153.46
101 rdf:type schema:Person
102 https://doi.org/10.1016/0003-6870(88)90199-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006100676
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1016/b978-0-7506-6731-9.50020-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003932575
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1016/s1389-1286(02)00220-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016878409
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1145/1060745.1060762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033144195
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1145/1066157.1066169 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013489938
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1145/1095034.1095062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027499512
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1145/238386.238530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051280230
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1145/357423.357430 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021673698
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1145/642611.642681 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008763052
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1145/988672.988707 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046950948
121 rdf:type schema:CreativeWork
122 https://www.grid.ac/institutes/grid.116068.8 schema:alternateName Massachusetts Institute of Technology
123 schema:name MIT Computer Science and Artificial Intelligence Laboratory, The Stata Center, Building 32, 32 Vassar Street, Cambridge, MA 02139, USA
124 MIT Digital Libraries Research Group, 77 Massachusetts Ave., Cambridge, MA 02139, USA
125 rdf:type schema:Organization
 




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


...