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f | 1 | { | f | 1 | { |
2 | "author": "Omar Arab Oghli", | 2 | "author": "Omar Arab Oghli", | ||
3 | "author_email": "omar.araboghli@tib.eu", | 3 | "author_email": "omar.araboghli@tib.eu", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.25835/nop77eg4", | 5 | "doi": "10.25835/nop77eg4", | ||
6 | "doi_date_published": "2022-06-03", | 6 | "doi_date_published": "2022-06-03", | ||
7 | "doi_publisher": "LUIS", | 7 | "doi_publisher": "LUIS", | ||
8 | "doi_status": "true", | 8 | "doi_status": "true", | ||
9 | "domain": "https://data.uni-hannover.de", | 9 | "domain": "https://data.uni-hannover.de", | ||
10 | "extras": [ | 10 | "extras": [ | ||
11 | { | 11 | { | ||
12 | "__extras": { | 12 | "__extras": { | ||
13 | "id": "acdf351a-0f10-4326-a01d-c087ea18d2e7", | 13 | "id": "acdf351a-0f10-4326-a01d-c087ea18d2e7", | ||
14 | "package_id": "a63de05e-9a40-4d76-b16d-2f3e99d884ce", | 14 | "package_id": "a63de05e-9a40-4d76-b16d-2f3e99d884ce", | ||
15 | "state": "active" | 15 | "state": "active" | ||
16 | }, | 16 | }, | ||
17 | "key": "1st Supervisor", | 17 | "key": "1st Supervisor", | ||
18 | "value": "Jennifer D'Souza" | 18 | "value": "Jennifer D'Souza" | ||
19 | }, | 19 | }, | ||
20 | { | 20 | { | ||
21 | "__extras": { | 21 | "__extras": { | ||
22 | "id": "58488241-2c34-49ec-9fb6-ad12e40553fd", | 22 | "id": "58488241-2c34-49ec-9fb6-ad12e40553fd", | ||
23 | "package_id": "a63de05e-9a40-4d76-b16d-2f3e99d884ce", | 23 | "package_id": "a63de05e-9a40-4d76-b16d-2f3e99d884ce", | ||
24 | "state": "active" | 24 | "state": "active" | ||
25 | }, | 25 | }, | ||
26 | "key": "2nd Supervisor", | 26 | "key": "2nd Supervisor", | ||
27 | "value": "S\u00f6ren Auer" | 27 | "value": "S\u00f6ren Auer" | ||
28 | } | 28 | } | ||
29 | ], | 29 | ], | ||
30 | "groups": [], | 30 | "groups": [], | ||
31 | "have_copyright": "Yes", | 31 | "have_copyright": "Yes", | ||
32 | "id": "a63de05e-9a40-4d76-b16d-2f3e99d884ce", | 32 | "id": "a63de05e-9a40-4d76-b16d-2f3e99d884ce", | ||
33 | "isopen": false, | 33 | "isopen": false, | ||
34 | "license_id": "CC-BY-3.0", | 34 | "license_id": "CC-BY-3.0", | ||
35 | "license_title": "CC-BY-3.0", | 35 | "license_title": "CC-BY-3.0", | ||
36 | "maintainer": "Omar Arab Oghli", | 36 | "maintainer": "Omar Arab Oghli", | ||
37 | "maintainer_email": "omar.araboghli@tib.eu", | 37 | "maintainer_email": "omar.araboghli@tib.eu", | ||
38 | "metadata_created": "2023-01-12T13:14:10.385841", | 38 | "metadata_created": "2023-01-12T13:14:10.385841", | ||
n | 39 | "metadata_modified": "2023-01-12T13:14:10.385846", | n | 39 | "metadata_modified": "2023-08-04T08:46:24.169388", |
40 | "name": | 40 | "name": | ||
41 | "luh-contributions-similarity-in-the-open-research-knowledge-graph", | 41 | "luh-contributions-similarity-in-the-open-research-knowledge-graph", | ||
42 | "notes": "This evaluation set has been created for evaluating a | 42 | "notes": "This evaluation set has been created for evaluating a | ||
43 | content-based recommender system in the context of the Open Research | 43 | content-based recommender system in the context of the Open Research | ||
44 | Knowledge Graph (ORKG). The recommender system accepts structured ORKG | 44 | Knowledge Graph (ORKG). The recommender system accepts structured ORKG | ||
45 | contribution as input and recommends existing contributions in the | 45 | contribution as input and recommends existing contributions in the | ||
46 | ORKG semantically relevant to the given one.\r\n\r\n \r\n\r\nThe | 46 | ORKG semantically relevant to the given one.\r\n\r\n \r\n\r\nThe | ||
47 | evaluation set is manually annotated based on the featured comparisons | 47 | evaluation set is manually annotated based on the featured comparisons | ||
48 | in the ORKG. In the course of this, it has been distinguished between | 48 | in the ORKG. In the course of this, it has been distinguished between | ||
49 | homogeneous (those who are dissimilar in 2-3 properties) and | 49 | homogeneous (those who are dissimilar in 2-3 properties) and | ||
50 | heterogeneous (otherwise) instances. Multiple annotations have been | 50 | heterogeneous (otherwise) instances. Multiple annotations have been | ||
51 | obtained for the former and exactly one for the latter.\r\n\r\n | 51 | obtained for the former and exactly one for the latter.\r\n\r\n | ||
52 | \r\n\r\nIt has been also distinguished between \"with_response\" and | 52 | \r\n\r\nIt has been also distinguished between \"with_response\" and | ||
53 | \"without_response\" instances (50 instances for each). The former are | 53 | \"without_response\" instances (50 instances for each). The former are | ||
54 | those contributions for them the initial version of the contributions | 54 | those contributions for them the initial version of the contributions | ||
55 | similarity service has found similarities and the latter are the | 55 | similarity service has found similarities and the latter are the | ||
56 | opposite case.\r\n\r\n \r\n\r\nThis evaluation set has been created | 56 | opposite case.\r\n\r\n \r\n\r\nThis evaluation set has been created | ||
57 | and applied on a modified version of the contributions similarity | 57 | and applied on a modified version of the contributions similarity | ||
58 | service in the context of this master's thesis. The modified version | 58 | service in the context of this master's thesis. The modified version | ||
59 | of the service has simplified the document representation of | 59 | of the service has simplified the document representation of | ||
60 | contributions that are stored in an ElasticSearch index by omitting | 60 | contributions that are stored in an ElasticSearch index by omitting | ||
61 | redundant terms.", | 61 | redundant terms.", | ||
62 | "num_resources": 1, | 62 | "num_resources": 1, | ||
63 | "num_tags": 4, | 63 | "num_tags": 4, | ||
64 | "organization": { | 64 | "organization": { | ||
65 | "approval_status": "approved", | 65 | "approval_status": "approved", | ||
66 | "created": "2017-11-23T17:30:37.757128", | 66 | "created": "2017-11-23T17:30:37.757128", | ||
67 | "description": "The German National Library of Science and | 67 | "description": "The German National Library of Science and | ||
68 | Technology, abbreviated TIB, is the national library of the Federal | 68 | Technology, abbreviated TIB, is the national library of the Federal | ||
69 | Republic of Germany for all fields of engineering, technology, and the | 69 | Republic of Germany for all fields of engineering, technology, and the | ||
70 | natural sciences.", | 70 | natural sciences.", | ||
71 | "id": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | 71 | "id": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | ||
72 | "image_url": | 72 | "image_url": | ||
73 | 3conf/ext/tib_tmpl_bootstrap/Resources/Public/images/TIB_Logo_en.png", | 73 | 3conf/ext/tib_tmpl_bootstrap/Resources/Public/images/TIB_Logo_en.png", | ||
74 | "is_organization": true, | 74 | "is_organization": true, | ||
75 | "name": "tib", | 75 | "name": "tib", | ||
76 | "state": "active", | 76 | "state": "active", | ||
77 | "title": "TIB", | 77 | "title": "TIB", | ||
78 | "type": "organization" | 78 | "type": "organization" | ||
79 | }, | 79 | }, | ||
80 | "owner_org": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | 80 | "owner_org": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | ||
81 | "private": false, | 81 | "private": false, | ||
82 | "relationships_as_object": [], | 82 | "relationships_as_object": [], | ||
83 | "relationships_as_subject": [], | 83 | "relationships_as_subject": [], | ||
84 | "repository_name": "Leibniz University Hannover", | 84 | "repository_name": "Leibniz University Hannover", | ||
85 | "resources": [ | 85 | "resources": [ | ||
86 | { | 86 | { | ||
87 | "cache_last_updated": null, | 87 | "cache_last_updated": null, | ||
88 | "cache_url": null, | 88 | "cache_url": null, | ||
89 | "created": "2022-06-03T07:52:15.590332", | 89 | "created": "2022-06-03T07:52:15.590332", | ||
90 | "description": "", | 90 | "description": "", | ||
91 | "format": "JSON", | 91 | "format": "JSON", | ||
92 | "hash": "", | 92 | "hash": "", | ||
93 | "id": "f5b90654-7fc4-4731-af7b-26c074915c14", | 93 | "id": "f5b90654-7fc4-4731-af7b-26c074915c14", | ||
94 | "last_modified": "2022-06-03T07:52:15.547707", | 94 | "last_modified": "2022-06-03T07:52:15.547707", | ||
n | 95 | "metadata_modified": "2023-01-12T13:14:10.378921", | n | 95 | "metadata_modified": "2023-08-04T08:46:24.176261", |
96 | "mimetype": "application/json", | 96 | "mimetype": "application/json", | ||
97 | "mimetype_inner": null, | 97 | "mimetype_inner": null, | ||
98 | "name": "evaluation_set.json", | 98 | "name": "evaluation_set.json", | ||
99 | "package_id": "a63de05e-9a40-4d76-b16d-2f3e99d884ce", | 99 | "package_id": "a63de05e-9a40-4d76-b16d-2f3e99d884ce", | ||
100 | "position": 0, | 100 | "position": 0, | ||
101 | "resource_type": null, | 101 | "resource_type": null, | ||
102 | "size": 85220, | 102 | "size": 85220, | ||
103 | "state": "active", | 103 | "state": "active", | ||
104 | "url": | 104 | "url": | ||
105 | ce/f5b90654-7fc4-4731-af7b-26c074915c14/download/evaluation_set.json", | 105 | ce/f5b90654-7fc4-4731-af7b-26c074915c14/download/evaluation_set.json", | ||
106 | "url_type": "" | 106 | "url_type": "" | ||
107 | } | 107 | } | ||
108 | ], | 108 | ], | ||
t | t | 109 | "services_used_list": "", | ||
109 | "source_metadata_created": "2022-06-03T07:51:56.137319", | 110 | "source_metadata_created": "2022-06-03T07:51:56.137319", | ||
110 | "source_metadata_modified": "2022-06-03T07:52:15.823745", | 111 | "source_metadata_modified": "2022-06-03T07:52:15.823745", | ||
111 | "state": "active", | 112 | "state": "active", | ||
112 | "tags": [ | 113 | "tags": [ | ||
113 | { | 114 | { | ||
114 | "display_name": "Artificial Intelligence", | 115 | "display_name": "Artificial Intelligence", | ||
115 | "id": "d22f9a3d-05f2-413d-ae9a-156d84b4284e", | 116 | "id": "d22f9a3d-05f2-413d-ae9a-156d84b4284e", | ||
116 | "name": "Artificial Intelligence", | 117 | "name": "Artificial Intelligence", | ||
117 | "state": "active", | 118 | "state": "active", | ||
118 | "vocabulary_id": null | 119 | "vocabulary_id": null | ||
119 | }, | 120 | }, | ||
120 | { | 121 | { | ||
121 | "display_name": "Content-based recommender system", | 122 | "display_name": "Content-based recommender system", | ||
122 | "id": "068cd6e2-5f58-42ab-ab72-d14a24e1c440", | 123 | "id": "068cd6e2-5f58-42ab-ab72-d14a24e1c440", | ||
123 | "name": "Content-based recommender system", | 124 | "name": "Content-based recommender system", | ||
124 | "state": "active", | 125 | "state": "active", | ||
125 | "vocabulary_id": null | 126 | "vocabulary_id": null | ||
126 | }, | 127 | }, | ||
127 | { | 128 | { | ||
128 | "display_name": "ElasticSearch", | 129 | "display_name": "ElasticSearch", | ||
129 | "id": "f40d5b19-57ec-4a35-83e2-0723193d988c", | 130 | "id": "f40d5b19-57ec-4a35-83e2-0723193d988c", | ||
130 | "name": "ElasticSearch", | 131 | "name": "ElasticSearch", | ||
131 | "state": "active", | 132 | "state": "active", | ||
132 | "vocabulary_id": null | 133 | "vocabulary_id": null | ||
133 | }, | 134 | }, | ||
134 | { | 135 | { | ||
135 | "display_name": "Open Research Knowledge Graph", | 136 | "display_name": "Open Research Knowledge Graph", | ||
136 | "id": "3d7444bf-3b95-4579-b56c-d8bce1a866c8", | 137 | "id": "3d7444bf-3b95-4579-b56c-d8bce1a866c8", | ||
137 | "name": "Open Research Knowledge Graph", | 138 | "name": "Open Research Knowledge Graph", | ||
138 | "state": "active", | 139 | "state": "active", | ||
139 | "vocabulary_id": null | 140 | "vocabulary_id": null | ||
140 | } | 141 | } | ||
141 | ], | 142 | ], | ||
142 | "terms_of_usage": "Yes", | 143 | "terms_of_usage": "Yes", | ||
143 | "title": "Contributions Similarity in the Open Research Knowledge | 144 | "title": "Contributions Similarity in the Open Research Knowledge | ||
144 | Graph", | 145 | Graph", | ||
145 | "type": "vdataset", | 146 | "type": "vdataset", | ||
146 | "url": | 147 | "url": | ||
147 | ataset/contributions-similarity-in-the-open-research-knowledge-graph", | 148 | ataset/contributions-similarity-in-the-open-research-knowledge-graph", | ||
148 | "version": "" | 149 | "version": "" | ||
149 | } | 150 | } |