Machine Learning View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

1986

PUBLISHER

Springer US

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/10994

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://scigraph.springernature.com/ontologies/product-market-codes/I21000", 
        "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
        "name": "Artificial Intelligence", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/product-market-codes/T19000", 
        "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
        "name": "Control, Robotics, Mechatronics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I21000", 
        "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
        "name": "Artificial Intelligence", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I19000", 
        "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
        "name": "Simulation and Modeling ", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I21040", 
        "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
        "name": "Natural Language Processing (NLP)", 
        "type": "DefinedTerm"
      }
    ], 
    "contentRating": [
      {
        "author": "snip", 
        "ratingValue": "1.757", 
        "type": "Rating"
      }, 
      {
        "author": "sjr", 
        "ratingValue": "0.695", 
        "type": "Rating"
      }, 
      {
        "author": "impact_factor_wos", 
        "dateCreated": "2017", 
        "ratingValue": "1.855", 
        "type": "Rating"
      }, 
      {
        "author": "impact_factor_wos", 
        "dateCreated": "2016", 
        "ratingValue": "1.848", 
        "type": "Rating"
      }, 
      {
        "author": "impact_factor_wos", 
        "dateCreated": "2015", 
        "ratingValue": "1.719", 
        "type": "Rating"
      }, 
      {
        "author": "impact_factor_wos", 
        "dateCreated": "2014", 
        "ratingValue": "1.889", 
        "type": "Rating"
      }, 
      {
        "author": "impact_factor_wos", 
        "dateCreated": "2013", 
        "ratingValue": "1.689", 
        "type": "Rating"
      }, 
      {
        "author": "impact_factor_wos", 
        "dateCreated": "2009", 
        "ratingValue": "1.663", 
        "type": "Rating"
      }, 
      {
        "author": "impact_factor_wos", 
        "dateCreated": "2012", 
        "ratingValue": "1.454", 
        "type": "Rating"
      }, 
      {
        "author": "impact_factor_wos", 
        "dateCreated": "2011", 
        "ratingValue": "1.587", 
        "type": "Rating"
      }, 
      {
        "author": "impact_factor_wos", 
        "dateCreated": "2010", 
        "ratingValue": "1.967", 
        "type": "Rating"
      }, 
      {
        "author": "impact_factor_wos", 
        "dateCreated": "2009", 
        "ratingValue": "1.663", 
        "type": "Rating"
      }, 
      {
        "author": "impact_factor_wos", 
        "dateCreated": "2008", 
        "ratingValue": "2.326", 
        "type": "Rating"
      }, 
      {
        "author": "impact_factor_wos", 
        "dateCreated": "2007", 
        "ratingValue": "1.742", 
        "type": "Rating"
      }
    ], 
    "description": "

Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems.

\n

The journal features papers that describe research on problems and methods, applications research, and issues of research methodology. Papers making claims about learning problems or methods provide solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena. Applications papers show how to apply learning methods to solve important applications problems. Research methodology papers improve how machine learning research is conducted.

\n

All papers describe the supporting evidence in ways that can be verified or replicated by other researchers. The papers also detail the learning component clearly and discuss assumptions regarding knowledge representation and the performance task.

", "editor": [ { "familyName": "Flach", "givenName": "Peter A.", "type": "Person" } ], "id": "sg:journal.1125588", "inLanguage": [ "en" ], "isAccessibleForFree": false, "issn": [ "0885-6125", "1573-0565" ], "license": "Hybrid (Open Choice)", "name": "Machine Learning", "productId": [ { "name": "scopus_id", "type": "PropertyValue", "value": [ "24775" ] }, { "name": "wos_id", "type": "PropertyValue", "value": [ "0885-6125/MACHINE LEARNING" ] }, { "name": "nlm_unique_id", "type": "PropertyValue", "value": [ "9881780" ] }, { "name": "nsd_ids_id", "type": "PropertyValue", "value": [ "444497" ] }, { "name": "springer_id", "type": "PropertyValue", "value": [ "10994" ] }, { "name": "lccn_id", "type": "PropertyValue", "value": [ "86655869" ] }, { "name": "dimensions_id", "type": "PropertyValue", "value": [ "125588" ] }, { "name": "era_ids_id", "type": "PropertyValue", "value": [ "18066" ] } ], "publisher": { "name": "Springer US", "type": "Organization" }, "publisherImprint": "Springer", "sameAs": [ "https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1125588" ], "sdDataset": "journals", "sdDatePublished": "2019-03-18T11:05", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "file:///home/ubuntu/piotr/scigraph_export/journals_20190313_sn_only.jsonl", "startYear": "1986", "type": "Periodical", "url": "http://link.springer.com/journal/10994" } ]
 

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/journal.1125588'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/journal.1125588'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/journal.1125588'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/journal.1125588'


 

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

172 TRIPLES      21 PREDICATES      46 URIs      38 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:journal.1125588 schema:about sg:ontologies/product-market-codes/I19000
2 sg:ontologies/product-market-codes/I21000
3 sg:ontologies/product-market-codes/I21040
4 sg:ontologies/product-market-codes/T19000
5 schema:contentRating N061fe990781f40a4b97177b9c87d3740
6 N0806132246f64555bf7263cbf748ccaa
7 N0b9f27691d014349864e4b33ae04b23f
8 N11dfc692e54b416eb8f32df61c5fdc35
9 N1acb35d9afab4da9b98db2681bbfac93
10 N2a5f30a0b568450f94ce86bc06291b6c
11 N2e21e360b9dd4f3a97392049db44f587
12 N31abc4916f8949ba99cea32df31a8713
13 N4bd235ecde304d03a66a693dfc1d601f
14 N792b209dcdb042c49633ccae1fd03988
15 N80268218ce1142d8bea4f3e13f32b020
16 N91207bb76d3d4d929d434d79a25ce6f3
17 N91cfc863152b4b81b01ff78aeace6866
18 Ne78d0fb7ec594eff9f1a5dab7acb626e
19 schema:description <P>Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems. </P> <P>The journal features papers that describe research on problems and methods, applications research, and issues of research methodology. Papers making claims about learning problems or methods provide solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena. Applications papers show how to apply learning methods to solve important applications problems. Research methodology papers improve how machine learning research is conducted. </P> <P>All papers describe the supporting evidence in ways that can be verified or replicated by other researchers. The papers also detail the learning component clearly and discuss assumptions regarding knowledge representation and the performance task.</P>
20 schema:editor Na5cc57b57fc74249a6344f0ade1f600a
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:issn 0885-6125
24 1573-0565
25 schema:license Hybrid (Open Choice)
26 schema:name Machine Learning
27 schema:productId N09d81a4409b940c2a7accb8ed66f669f
28 N529c472d3c4147ff810748f634fc6ef5
29 N7db45f6c3d944cd58b346485a8460d34
30 N9e9cb82101f54ffea5b9c3bc0c3ec385
31 Nb535dc23c5ea451e97f4e2f9acd53c0d
32 Neb246353d647490c81243ea8a13fb3e8
33 Neb6e5f76fc1d4e8fa9ff608769453609
34 Nf42ece5d0c264f6a8b2d676884f83c90
35 schema:publisher Ne78b2daf40774c89b5ac693f3e22def8
36 schema:publisherImprint Springer
37 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1125588
38 schema:sdDatePublished 2019-03-18T11:05
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher N38492cb918994961afd609e887d461b0
41 schema:startYear 1986
42 schema:url http://link.springer.com/journal/10994
43 sgo:license sg:explorer/license/
44 sgo:sdDataset journals
45 rdf:type schema:Periodical
46 N01fcbc0cb33e4ca3a7980150968a2fc8 schema:familyName Flach
47 schema:givenName Peter A.
48 rdf:type schema:Person
49 N061fe990781f40a4b97177b9c87d3740 schema:author N5906f0136b144c24a45d6eb37e26fc19
50 schema:dateCreated 2008
51 schema:ratingValue 2.326
52 rdf:type schema:Rating
53 N06c6b3d0730e4b73a2180bc514364044 rdf:first snip
54 rdf:rest rdf:nil
55 N07bb947de39d45e2a242005c08d573b0 rdf:first impact_factor_wos
56 rdf:rest rdf:nil
57 N0806132246f64555bf7263cbf748ccaa schema:author Nae8a9e01218a4cf2babf5cb451e1362e
58 schema:dateCreated 2016
59 schema:ratingValue 1.848
60 rdf:type schema:Rating
61 N09d81a4409b940c2a7accb8ed66f669f schema:name nlm_unique_id
62 schema:value 9881780
63 rdf:type schema:PropertyValue
64 N0b9f27691d014349864e4b33ae04b23f schema:author Nb1fa18d8afab4773b0d58dbbaea8b6e4
65 schema:dateCreated 2014
66 schema:ratingValue 1.889
67 rdf:type schema:Rating
68 N11dfc692e54b416eb8f32df61c5fdc35 schema:author N06c6b3d0730e4b73a2180bc514364044
69 schema:ratingValue 1.757
70 rdf:type schema:Rating
71 N1acb35d9afab4da9b98db2681bbfac93 schema:author N2fbceb875425452e8a12341e8cfa1c64
72 schema:dateCreated 2011
73 schema:ratingValue 1.587
74 rdf:type schema:Rating
75 N2a5f30a0b568450f94ce86bc06291b6c schema:author N947f7f4ab1c44515b9a48b1401f70a94
76 schema:dateCreated 2010
77 schema:ratingValue 1.967
78 rdf:type schema:Rating
79 N2e21e360b9dd4f3a97392049db44f587 schema:author N5d5300da17654c92af410088551f385f
80 schema:dateCreated 2017
81 schema:ratingValue 1.855
82 rdf:type schema:Rating
83 N2fbceb875425452e8a12341e8cfa1c64 rdf:first impact_factor_wos
84 rdf:rest rdf:nil
85 N31abc4916f8949ba99cea32df31a8713 schema:author Nf0b52f70a2c049b38c75ce9de741fc57
86 schema:dateCreated 2015
87 schema:ratingValue 1.719
88 rdf:type schema:Rating
89 N38492cb918994961afd609e887d461b0 schema:name Springer Nature - SN SciGraph project
90 rdf:type schema:Organization
91 N4bd235ecde304d03a66a693dfc1d601f schema:author N07bb947de39d45e2a242005c08d573b0
92 schema:dateCreated 2007
93 schema:ratingValue 1.742
94 rdf:type schema:Rating
95 N529c472d3c4147ff810748f634fc6ef5 schema:name scopus_id
96 schema:value 24775
97 rdf:type schema:PropertyValue
98 N5906f0136b144c24a45d6eb37e26fc19 rdf:first impact_factor_wos
99 rdf:rest rdf:nil
100 N5d5300da17654c92af410088551f385f rdf:first impact_factor_wos
101 rdf:rest rdf:nil
102 N732f841c200146eeac5af6434004796a rdf:first sjr
103 rdf:rest rdf:nil
104 N792b209dcdb042c49633ccae1fd03988 schema:author N732f841c200146eeac5af6434004796a
105 schema:ratingValue 0.695
106 rdf:type schema:Rating
107 N7db45f6c3d944cd58b346485a8460d34 schema:name dimensions_id
108 schema:value 125588
109 rdf:type schema:PropertyValue
110 N80268218ce1142d8bea4f3e13f32b020 schema:author Nb1a786614c2b472884b8e17b2fdf30cc
111 schema:dateCreated 2009
112 schema:ratingValue 1.663
113 rdf:type schema:Rating
114 N822c4db67aa74ba6be3bab72c5ca129e rdf:first impact_factor_wos
115 rdf:rest rdf:nil
116 N91207bb76d3d4d929d434d79a25ce6f3 schema:author Naa651c5b821945f4ba98720af411d96a
117 schema:dateCreated 2012
118 schema:ratingValue 1.454
119 rdf:type schema:Rating
120 N91cfc863152b4b81b01ff78aeace6866 schema:author N822c4db67aa74ba6be3bab72c5ca129e
121 schema:dateCreated 2009
122 schema:ratingValue 1.663
123 rdf:type schema:Rating
124 N947f7f4ab1c44515b9a48b1401f70a94 rdf:first impact_factor_wos
125 rdf:rest rdf:nil
126 N9e9cb82101f54ffea5b9c3bc0c3ec385 schema:name wos_id
127 schema:value 0885-6125/MACHINE LEARNING
128 rdf:type schema:PropertyValue
129 Na5cc57b57fc74249a6344f0ade1f600a rdf:first N01fcbc0cb33e4ca3a7980150968a2fc8
130 rdf:rest rdf:nil
131 Naa651c5b821945f4ba98720af411d96a rdf:first impact_factor_wos
132 rdf:rest rdf:nil
133 Nab29bf0b2a45481e8fd4e561852371ed rdf:first impact_factor_wos
134 rdf:rest rdf:nil
135 Nae8a9e01218a4cf2babf5cb451e1362e rdf:first impact_factor_wos
136 rdf:rest rdf:nil
137 Nb1a786614c2b472884b8e17b2fdf30cc rdf:first impact_factor_wos
138 rdf:rest rdf:nil
139 Nb1fa18d8afab4773b0d58dbbaea8b6e4 rdf:first impact_factor_wos
140 rdf:rest rdf:nil
141 Nb535dc23c5ea451e97f4e2f9acd53c0d schema:name springer_id
142 schema:value 10994
143 rdf:type schema:PropertyValue
144 Ne78b2daf40774c89b5ac693f3e22def8 schema:name Springer US
145 rdf:type schema:Organization
146 Ne78d0fb7ec594eff9f1a5dab7acb626e schema:author Nab29bf0b2a45481e8fd4e561852371ed
147 schema:dateCreated 2013
148 schema:ratingValue 1.689
149 rdf:type schema:Rating
150 Neb246353d647490c81243ea8a13fb3e8 schema:name nsd_ids_id
151 schema:value 444497
152 rdf:type schema:PropertyValue
153 Neb6e5f76fc1d4e8fa9ff608769453609 schema:name lccn_id
154 schema:value 86655869
155 rdf:type schema:PropertyValue
156 Nf0b52f70a2c049b38c75ce9de741fc57 rdf:first impact_factor_wos
157 rdf:rest rdf:nil
158 Nf42ece5d0c264f6a8b2d676884f83c90 schema:name era_ids_id
159 schema:value 18066
160 rdf:type schema:PropertyValue
161 sg:ontologies/product-market-codes/I19000 schema:inDefinedTermSet sg:ontologies/product-market-codes/
162 schema:name Simulation and Modeling
163 rdf:type schema:DefinedTerm
164 sg:ontologies/product-market-codes/I21000 schema:inDefinedTermSet sg:ontologies/product-market-codes/
165 schema:name Artificial Intelligence
166 rdf:type schema:DefinedTerm
167 sg:ontologies/product-market-codes/I21040 schema:inDefinedTermSet sg:ontologies/product-market-codes/
168 schema:name Natural Language Processing (NLP)
169 rdf:type schema:DefinedTerm
170 sg:ontologies/product-market-codes/T19000 schema:inDefinedTermSet sg:ontologies/product-market-codes/
171 schema:name Control, Robotics, Mechatronics
172 rdf:type schema:DefinedTerm
 




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


...