Stochastic Differential Equations in Infinite Dimensions View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

ABSTRACT

N/A

PAGES

770-770

Book

TITLE

Computer Vision

ISBN

978-0-387-30771-8
978-0-387-31439-6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-0-387-31439-6_100250

DOI

http://dx.doi.org/10.1007/978-0-387-31439-6_100250

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052615602


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", 
    "datePublished": "2014", 
    "datePublishedReg": "2014-01-01", 
    "editor": [
      {
        "familyName": "Ikeuchi", 
        "givenName": "Katsushi", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-0-387-31439-6_100250", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-0-387-30771-8", 
        "978-0-387-31439-6"
      ], 
      "name": "Computer Vision", 
      "type": "Book"
    }, 
    "name": "Stochastic Differential Equations in Infinite Dimensions", 
    "pagination": "770-770", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052615602"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-0-387-31439-6_100250"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "fa9fdf169abf4653a447dd5ef49b0016c77a6963283d1a27638570fd6356b7ca"
        ]
      }
    ], 
    "publisher": {
      "location": "Boston, MA", 
      "name": "Springer US", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-0-387-31439-6_100250", 
      "https://app.dimensions.ai/details/publication/pub.1052615602"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T07:29", 
    "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/v90/0000000356_0000000356/records_57865_00000000.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-0-387-31439-6_100250"
  }
]
 

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.10.1007/978-0-387-31439-6_100250'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-0-387-31439-6_100250'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-0-387-31439-6_100250'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-0-387-31439-6_100250'


 

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

45 TRIPLES      19 PREDICATES      23 URIs      18 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-0-387-31439-6_100250 schema:datePublished 2014
2 schema:datePublishedReg 2014-01-01
3 schema:editor N576fe26d14ae498296e246ec29b7e1e9
4 schema:genre chapter
5 schema:inLanguage en
6 schema:isAccessibleForFree false
7 schema:isPartOf N272de2b7dd6342308abf2b435e92b6a6
8 schema:name Stochastic Differential Equations in Infinite Dimensions
9 schema:pagination 770-770
10 schema:productId N14231c0abb5246d899e5d23a61ba6068
11 N8faabdc0d8284f1d800a3781788db2ee
12 Nb3075efbf8e542b38269f8b5da575aa2
13 schema:publisher Ne623462cb09d4bb2ba6f0d971ad68d93
14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052615602
15 https://doi.org/10.1007/978-0-387-31439-6_100250
16 schema:sdDatePublished 2019-04-16T07:29
17 schema:sdLicense https://scigraph.springernature.com/explorer/license/
18 schema:sdPublisher N57c98dde32914d60b80baecd2922c9aa
19 schema:url http://link.springer.com/10.1007/978-0-387-31439-6_100250
20 sgo:license sg:explorer/license/
21 sgo:sdDataset chapters
22 rdf:type schema:Chapter
23 N14231c0abb5246d899e5d23a61ba6068 schema:name doi
24 schema:value 10.1007/978-0-387-31439-6_100250
25 rdf:type schema:PropertyValue
26 N272de2b7dd6342308abf2b435e92b6a6 schema:isbn 978-0-387-30771-8
27 978-0-387-31439-6
28 schema:name Computer Vision
29 rdf:type schema:Book
30 N576fe26d14ae498296e246ec29b7e1e9 rdf:first N6d7cbcde0e484ba4b2c2bd0703ac75a9
31 rdf:rest rdf:nil
32 N57c98dde32914d60b80baecd2922c9aa schema:name Springer Nature - SN SciGraph project
33 rdf:type schema:Organization
34 N6d7cbcde0e484ba4b2c2bd0703ac75a9 schema:familyName Ikeuchi
35 schema:givenName Katsushi
36 rdf:type schema:Person
37 N8faabdc0d8284f1d800a3781788db2ee schema:name readcube_id
38 schema:value fa9fdf169abf4653a447dd5ef49b0016c77a6963283d1a27638570fd6356b7ca
39 rdf:type schema:PropertyValue
40 Nb3075efbf8e542b38269f8b5da575aa2 schema:name dimensions_id
41 schema:value pub.1052615602
42 rdf:type schema:PropertyValue
43 Ne623462cb09d4bb2ba6f0d971ad68d93 schema:location Boston, MA
44 schema:name Springer US
45 rdf:type schema:Organisation
 




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


...