Almost Periodic Type Functions and Ergodicity View Full Text


Ontology type: schema:Book     


Book Info

DATE

2003

GENRE

Monograph

AUTHORS

Chuanyi Zhang

PUBLISHER

Springer Netherlands

ABSTRACT

N/A

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-94-007-1073-3

DOI

http://dx.doi.org/10.1007/978-94-007-1073-3

ISBN

978-94-010-3782-2 | 978-94-007-1073-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1109716447


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", 
    "author": [
      {
        "familyName": "Zhang", 
        "givenName": "Chuanyi", 
        "type": "Person"
      }
    ], 
    "datePublished": "2003", 
    "datePublishedReg": "2003-01-01", 
    "genre": "monograph", 
    "id": "sg:pub.10.1007/978-94-007-1073-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isbn": [
      "978-94-010-3782-2", 
      "978-94-007-1073-3"
    ], 
    "name": "Almost Periodic Type Functions and Ergodicity", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-94-007-1073-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1109716447"
        ]
      }
    ], 
    "publisher": {
      "location": "Dordrecht", 
      "name": "Springer Netherlands", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-94-007-1073-3", 
      "https://app.dimensions.ai/details/publication/pub.1109716447"
    ], 
    "sdDataset": "books", 
    "sdDatePublished": "2019-04-12T04:05", 
    "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/v90/0000000372_0000000372/records_117123_00000003.jsonl", 
    "type": "Book", 
    "url": "http://link.springer.com/10.1007/978-94-007-1073-3"
  }
]
 

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.10.1007/978-94-007-1073-3'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-94-007-1073-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-94-007-1073-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-94-007-1073-3'


 

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

37 TRIPLES      18 PREDICATES      22 URIs      17 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-94-007-1073-3 schema:author N12655301d2b74ff79814ea7fed66101c
2 schema:datePublished 2003
3 schema:datePublishedReg 2003-01-01
4 schema:genre monograph
5 schema:inLanguage en
6 schema:isAccessibleForFree false
7 schema:isbn 978-94-007-1073-3
8 978-94-010-3782-2
9 schema:name Almost Periodic Type Functions and Ergodicity
10 schema:productId N497884bcf566467fb36561ed5eb809f8
11 Nb6d76ef6dd67474b9cb31b26d32b89a7
12 schema:publisher Nc3d6993d415b4516830ccc2f683ca680
13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109716447
14 https://doi.org/10.1007/978-94-007-1073-3
15 schema:sdDatePublished 2019-04-12T04:05
16 schema:sdLicense https://scigraph.springernature.com/explorer/license/
17 schema:sdPublisher Nfaedce9e093e49119732a3b4680cad06
18 schema:url http://link.springer.com/10.1007/978-94-007-1073-3
19 sgo:license sg:explorer/license/
20 sgo:sdDataset books
21 rdf:type schema:Book
22 N12655301d2b74ff79814ea7fed66101c rdf:first N8a6c1f2214c4468da2ca7babe4d3d5e8
23 rdf:rest rdf:nil
24 N497884bcf566467fb36561ed5eb809f8 schema:name dimensions_id
25 schema:value pub.1109716447
26 rdf:type schema:PropertyValue
27 N8a6c1f2214c4468da2ca7babe4d3d5e8 schema:familyName Zhang
28 schema:givenName Chuanyi
29 rdf:type schema:Person
30 Nb6d76ef6dd67474b9cb31b26d32b89a7 schema:name doi
31 schema:value 10.1007/978-94-007-1073-3
32 rdf:type schema:PropertyValue
33 Nc3d6993d415b4516830ccc2f683ca680 schema:location Dordrecht
34 schema:name Springer Netherlands
35 rdf:type schema:Organisation
36 Nfaedce9e093e49119732a3b4680cad06 schema:name Springer Nature - SN SciGraph project
37 rdf:type schema:Organization
 




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


...