Understanding Language through Vision View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1996

AUTHORS

Cristina Meini , Alfredo Paternoster

ABSTRACT

We discuss briefly (from a philosophical point of view) why interfacing a linguistic analyzer with an artificial vision system is an important issue. In particular we claim that a linguistic analyzer supported by perception can actually understand, and not just process symbols. This is a possible objection against John Searle’s well-known Chinese room argument. Secondly we present REF-MACHINE, a verification system architecture integrating a linguistic analyzer and a vision system. The global system can establish whether a sentence is true or false in a situation given through a symbolic description of a scene or directly in a real scene (given full perception equipment, a camera, and so on). This is a recognition system, partially implemented in LISP, incorporating an algorithm to interpret some locative expressions. More... »

PAGES

139-150

References to SciGraph publications

Book

TITLE

Integration of Natural Language and Vision Processing

ISBN

978-0-7923-3944-1
978-94-009-1639-5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-94-009-1639-5_11

DOI

http://dx.doi.org/10.1007/978-94-009-1639-5_11

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013754247


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/2008/0801", 
        "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/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "C.R.E.A., 1 Rue Descartes, 75005, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Meini", 
        "givenName": "Cristina", 
        "id": "sg:person.010107211035.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010107211035.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "C.R.E.A., 1 Rue Descartes, 75005, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paternoster", 
        "givenName": "Alfredo", 
        "id": "sg:person.011502152035.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011502152035.57"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1017/s0140525x00005756", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016931045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0140525x00005756", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016931045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0140525x00005756", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016931045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09528138908953691", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026759124"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4613-2005-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045235809", 
          "https://doi.org/10.1007/978-1-4613-2005-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4613-2005-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045235809", 
          "https://doi.org/10.1007/978-1-4613-2005-0"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1996", 
    "datePublishedReg": "1996-01-01", 
    "description": "We discuss briefly (from a philosophical point of view) why interfacing a linguistic analyzer with an artificial vision system is an important issue. In particular we claim that a linguistic analyzer supported by perception can actually understand, and not just process symbols. This is a possible objection against John Searle\u2019s well-known Chinese room argument. Secondly we present REF-MACHINE, a verification system architecture integrating a linguistic analyzer and a vision system. The global system can establish whether a sentence is true or false in a situation given through a symbolic description of a scene or directly in a real scene (given full perception equipment, a camera, and so on). This is a recognition system, partially implemented in LISP, incorporating an algorithm to interpret some locative expressions.", 
    "editor": [
      {
        "familyName": "Mc Kevitt", 
        "givenName": "Paul", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-94-009-1639-5_11", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-0-7923-3944-1", 
        "978-94-009-1639-5"
      ], 
      "name": "Integration of Natural Language and Vision Processing", 
      "type": "Book"
    }, 
    "name": "Understanding Language through Vision", 
    "pagination": "139-150", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1013754247"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-94-009-1639-5_11"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4185ce4ef71cb59dd6a6722bcbb508f7cb5c1ff629078d4082a60318e263f0a8"
        ]
      }
    ], 
    "publisher": {
      "location": "Dordrecht", 
      "name": "Springer Netherlands", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-94-009-1639-5_11", 
      "https://app.dimensions.ai/details/publication/pub.1013754247"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T09:51", 
    "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/v90/0000000376_0000000376/records_56159_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-94-009-1639-5_11"
  }
]
 

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.10.1007/978-94-009-1639-5_11'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-94-009-1639-5_11'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-94-009-1639-5_11'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-94-009-1639-5_11'


 

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

83 TRIPLES      23 PREDICATES      30 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-94-009-1639-5_11 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N5e92d92483cb46e8bf74fb86d1a0542d
4 schema:citation sg:pub.10.1007/978-1-4613-2005-0
5 https://doi.org/10.1017/s0140525x00005756
6 https://doi.org/10.1080/09528138908953691
7 schema:datePublished 1996
8 schema:datePublishedReg 1996-01-01
9 schema:description We discuss briefly (from a philosophical point of view) why interfacing a linguistic analyzer with an artificial vision system is an important issue. In particular we claim that a linguistic analyzer supported by perception can actually understand, and not just process symbols. This is a possible objection against John Searle’s well-known Chinese room argument. Secondly we present REF-MACHINE, a verification system architecture integrating a linguistic analyzer and a vision system. The global system can establish whether a sentence is true or false in a situation given through a symbolic description of a scene or directly in a real scene (given full perception equipment, a camera, and so on). This is a recognition system, partially implemented in LISP, incorporating an algorithm to interpret some locative expressions.
10 schema:editor Ndf22c73c1af3437282384d47bf9f0ef2
11 schema:genre chapter
12 schema:inLanguage en
13 schema:isAccessibleForFree false
14 schema:isPartOf Na48b6eacb10c433b8083fabf361bdd95
15 schema:name Understanding Language through Vision
16 schema:pagination 139-150
17 schema:productId N1be4a8130b28442eb5d3aae9f1c07b8a
18 N42a7d52e6e4e41ac8a95ac7345a63ec8
19 Nb46d414cd1054dd19f5a89528fc55a11
20 schema:publisher Na6a9774c40d7457995c13290bc4f28ec
21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013754247
22 https://doi.org/10.1007/978-94-009-1639-5_11
23 schema:sdDatePublished 2019-04-16T09:51
24 schema:sdLicense https://scigraph.springernature.com/explorer/license/
25 schema:sdPublisher N577c47efe0cd407ca00cd053acee9511
26 schema:url https://link.springer.com/10.1007%2F978-94-009-1639-5_11
27 sgo:license sg:explorer/license/
28 sgo:sdDataset chapters
29 rdf:type schema:Chapter
30 N1be4a8130b28442eb5d3aae9f1c07b8a schema:name readcube_id
31 schema:value 4185ce4ef71cb59dd6a6722bcbb508f7cb5c1ff629078d4082a60318e263f0a8
32 rdf:type schema:PropertyValue
33 N24c66a7d377d4f21b96acddcf8f46b62 schema:name C.R.E.A., 1 Rue Descartes, 75005, Paris, France
34 rdf:type schema:Organization
35 N2be54e2145e74f789813347819ccd733 rdf:first sg:person.011502152035.57
36 rdf:rest rdf:nil
37 N42a7d52e6e4e41ac8a95ac7345a63ec8 schema:name doi
38 schema:value 10.1007/978-94-009-1639-5_11
39 rdf:type schema:PropertyValue
40 N577c47efe0cd407ca00cd053acee9511 schema:name Springer Nature - SN SciGraph project
41 rdf:type schema:Organization
42 N5e92d92483cb46e8bf74fb86d1a0542d rdf:first sg:person.010107211035.49
43 rdf:rest N2be54e2145e74f789813347819ccd733
44 Na48b6eacb10c433b8083fabf361bdd95 schema:isbn 978-0-7923-3944-1
45 978-94-009-1639-5
46 schema:name Integration of Natural Language and Vision Processing
47 rdf:type schema:Book
48 Na6a9774c40d7457995c13290bc4f28ec schema:location Dordrecht
49 schema:name Springer Netherlands
50 rdf:type schema:Organisation
51 Nb46d414cd1054dd19f5a89528fc55a11 schema:name dimensions_id
52 schema:value pub.1013754247
53 rdf:type schema:PropertyValue
54 Nca96f284aaec415f8de31be95368028e schema:familyName Mc Kevitt
55 schema:givenName Paul
56 rdf:type schema:Person
57 Ncdaf689b8b954b78934be466c2f022e1 schema:name C.R.E.A., 1 Rue Descartes, 75005, Paris, France
58 rdf:type schema:Organization
59 Ndf22c73c1af3437282384d47bf9f0ef2 rdf:first Nca96f284aaec415f8de31be95368028e
60 rdf:rest rdf:nil
61 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
62 schema:name Information and Computing Sciences
63 rdf:type schema:DefinedTerm
64 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
65 schema:name Artificial Intelligence and Image Processing
66 rdf:type schema:DefinedTerm
67 sg:person.010107211035.49 schema:affiliation N24c66a7d377d4f21b96acddcf8f46b62
68 schema:familyName Meini
69 schema:givenName Cristina
70 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010107211035.49
71 rdf:type schema:Person
72 sg:person.011502152035.57 schema:affiliation Ncdaf689b8b954b78934be466c2f022e1
73 schema:familyName Paternoster
74 schema:givenName Alfredo
75 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011502152035.57
76 rdf:type schema:Person
77 sg:pub.10.1007/978-1-4613-2005-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045235809
78 https://doi.org/10.1007/978-1-4613-2005-0
79 rdf:type schema:CreativeWork
80 https://doi.org/10.1017/s0140525x00005756 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016931045
81 rdf:type schema:CreativeWork
82 https://doi.org/10.1080/09528138908953691 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026759124
83 rdf:type schema:CreativeWork
 




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


...