Machine Learning: ECML-93, European Conference on Machine Learning Vienna, Austria, April 5–7, 1993 Proceedings View Full Text


Ontology type: schema:Book     


Book Info

DATE

1993

GENRE

Book

PUBLISHER

Springer Berlin Heidelberg

ABSTRACT

N/A

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-56602-3

DOI

http://dx.doi.org/10.1007/3-540-56602-3

ISBN

978-3-540-56602-1 | 978-3-540-47597-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1108500922


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": "1993", 
    "datePublishedReg": "1993-01-01", 
    "editor": [
      {
        "familyName": "Brazdil", 
        "givenName": "Pavel B.", 
        "type": "Person"
      }
    ], 
    "genre": "book", 
    "id": "sg:pub.10.1007/3-540-56602-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isbn": [
      "978-3-540-56602-1", 
      "978-3-540-47597-2"
    ], 
    "name": "Machine Learning: ECML-93, European Conference on Machine Learning Vienna, Austria, April 5\u20137, 1993 Proceedings", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6cee58d9efe46cc817655c31740b81cf59d41102f4a08543859904160f42b34d"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/3-540-56602-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1108500922"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/3-540-56602-3", 
      "https://app.dimensions.ai/details/publication/pub.1108500922"
    ], 
    "sdDataset": "books", 
    "sdDatePublished": "2019-04-12T04:00", 
    "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_117088_00000003.jsonl", 
    "type": "Book", 
    "url": "https://link.springer.com/10.1007%2F3-540-56602-3"
  }
]
 

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.10.1007/3-540-56602-3'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/3-540-56602-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/3-540-56602-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/3-540-56602-3'


 

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

41 TRIPLES      18 PREDICATES      23 URIs      18 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/3-540-56602-3 schema:datePublished 1993
2 schema:datePublishedReg 1993-01-01
3 schema:editor N6f0e985f847848dc8b3358ebe4e45b51
4 schema:genre book
5 schema:inLanguage en
6 schema:isAccessibleForFree false
7 schema:isbn 978-3-540-47597-2
8 978-3-540-56602-1
9 schema:name Machine Learning: ECML-93, European Conference on Machine Learning Vienna, Austria, April 5–7, 1993 Proceedings
10 schema:productId N5ea429120b614065abf252c115f24524
11 N91312c555ac142ed83554094da302926
12 Nad18feb75fda4520b783422721b6df2a
13 schema:publisher N29d247e81fc14c7a8082827d986fa883
14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1108500922
15 https://doi.org/10.1007/3-540-56602-3
16 schema:sdDatePublished 2019-04-12T04:00
17 schema:sdLicense https://scigraph.springernature.com/explorer/license/
18 schema:sdPublisher N4e2ed6197e7b48a1a96b03ec56e83a77
19 schema:url https://link.springer.com/10.1007%2F3-540-56602-3
20 sgo:license sg:explorer/license/
21 sgo:sdDataset books
22 rdf:type schema:Book
23 N29d247e81fc14c7a8082827d986fa883 schema:location Berlin, Heidelberg
24 schema:name Springer Berlin Heidelberg
25 rdf:type schema:Organisation
26 N4e2ed6197e7b48a1a96b03ec56e83a77 schema:name Springer Nature - SN SciGraph project
27 rdf:type schema:Organization
28 N5ea429120b614065abf252c115f24524 schema:name readcube_id
29 schema:value 6cee58d9efe46cc817655c31740b81cf59d41102f4a08543859904160f42b34d
30 rdf:type schema:PropertyValue
31 N6f0e985f847848dc8b3358ebe4e45b51 rdf:first Ncd03c4d9dc4c47068e51a4c1e7418248
32 rdf:rest rdf:nil
33 N91312c555ac142ed83554094da302926 schema:name doi
34 schema:value 10.1007/3-540-56602-3
35 rdf:type schema:PropertyValue
36 Nad18feb75fda4520b783422721b6df2a schema:name dimensions_id
37 schema:value pub.1108500922
38 rdf:type schema:PropertyValue
39 Ncd03c4d9dc4c47068e51a4c1e7418248 schema:familyName Brazdil
40 schema:givenName Pavel B.
41 rdf:type schema:Person
 




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


...