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On July 16, 2024 at 1:21:01 PM UTC, rivas:
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2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "accrualPeriodicity": "", | 3 | "accrualPeriodicity": "", | ||
4 | "author": "Ariam Rivas", | 4 | "author": "Ariam Rivas", | ||
5 | "author_email": "", | 5 | "author_email": "", | ||
6 | "citation": [], | 6 | "citation": [], | ||
7 | "conformsTo": "", | 7 | "conformsTo": "", | ||
8 | "creator_user_id": "0e897afb-a924-4786-8ae9-63f501a747af", | 8 | "creator_user_id": "0e897afb-a924-4786-8ae9-63f501a747af", | ||
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10 | "defined_in": "", | 10 | "defined_in": "", | ||
11 | "doi": "10.57702/1ndl6lnk", | 11 | "doi": "10.57702/1ndl6lnk", | ||
12 | "doi_date_published": "2024-07-16", | 12 | "doi_date_published": "2024-07-16", | ||
13 | "doi_publisher": "TIB", | 13 | "doi_publisher": "TIB", | ||
14 | "doi_status": true, | 14 | "doi_status": true, | ||
15 | "domain": "https://service.tib.eu/ldmservice", | 15 | "domain": "https://service.tib.eu/ldmservice", | ||
16 | "end_date": "", | 16 | "end_date": "", | ||
17 | "extra_authors": [ | 17 | "extra_authors": [ | ||
18 | { | 18 | { | ||
19 | "extra_author": "", | 19 | "extra_author": "", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
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36 | "isopen": false, | 36 | "isopen": false, | ||
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38 | "language": "", | 38 | "language": "", | ||
39 | "license_id": "notspecified", | 39 | "license_id": "notspecified", | ||
40 | "license_title": "License not specified", | 40 | "license_title": "License not specified", | ||
41 | "link_orkg": "", | 41 | "link_orkg": "", | ||
42 | "maintainer": "", | 42 | "maintainer": "", | ||
43 | "maintainer_email": "", | 43 | "maintainer_email": "", | ||
44 | "metadata_created": "2024-07-16T12:51:29.888286", | 44 | "metadata_created": "2024-07-16T12:51:29.888286", | ||
45 | "metadata_modified": "2024-07-16T13:21:00.821773", | 45 | "metadata_modified": "2024-07-16T13:21:00.821773", | ||
46 | "name": "communities-over-coypu-knowledge-graph", | 46 | "name": "communities-over-coypu-knowledge-graph", | ||
47 | "notes": "CoyPu Knowledge Graph (KG) contains a huge amount of data | 47 | "notes": "CoyPu Knowledge Graph (KG) contains a huge amount of data | ||
48 | about all the countries worldwide, including each country's | 48 | about all the countries worldwide, including each country's | ||
49 | performance based on thousands of indicators presented in the World | 49 | performance based on thousands of indicators presented in the World | ||
50 | Bank datasets. An indicator refers to a specific metric measuring a | 50 | Bank datasets. An indicator refers to a specific metric measuring a | ||
51 | particular aspect of economic, social, or environmental development. | 51 | particular aspect of economic, social, or environmental development. | ||
52 | We aim to detect communities of Country-Indicator and predict | 52 | We aim to detect communities of Country-Indicator and predict | ||
53 | relationships between them.\r\nWe follow a hybrid AI framework that | 53 | relationships between them.\r\nWe follow a hybrid AI framework that | ||
54 | employs inductive learning to identify a partitioning of nodes within | 54 | employs inductive learning to identify a partitioning of nodes within | ||
55 | a KG. The proposed framework comprises four design patterns describing | 55 | a KG. The proposed framework comprises four design patterns describing | ||
56 | the sub-systems that implement the tasks mentioned above toward | 56 | the sub-systems that implement the tasks mentioned above toward | ||
57 | solving the problem of detecting communities.", | 57 | solving the problem of detecting communities.", | ||
58 | "num_resources": 1, | 58 | "num_resources": 1, | ||
59 | "num_tags": 0, | 59 | "num_tags": 0, | ||
60 | "orcid": "https://orcid.org/0000-0003-4916-5220", | 60 | "orcid": "https://orcid.org/0000-0003-4916-5220", | ||
61 | "organization": { | 61 | "organization": { | ||
62 | "approval_status": "approved", | 62 | "approval_status": "approved", | ||
63 | "created": "2017-11-23T17:30:37.757128", | 63 | "created": "2017-11-23T17:30:37.757128", | ||
64 | "description": "The German National Library of Science and | 64 | "description": "The German National Library of Science and | ||
65 | Technology, abbreviated TIB, is the national library of the Federal | 65 | Technology, abbreviated TIB, is the national library of the Federal | ||
66 | Republic of Germany for all fields of engineering, technology, and the | 66 | Republic of Germany for all fields of engineering, technology, and the | ||
67 | natural sciences.", | 67 | natural sciences.", | ||
68 | "id": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | 68 | "id": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | ||
69 | "image_url": | 69 | "image_url": | ||
70 | 3conf/ext/tib_tmpl_bootstrap/Resources/Public/images/TIB_Logo_en.png", | 70 | 3conf/ext/tib_tmpl_bootstrap/Resources/Public/images/TIB_Logo_en.png", | ||
71 | "is_organization": true, | 71 | "is_organization": true, | ||
72 | "name": "tib", | 72 | "name": "tib", | ||
73 | "state": "active", | 73 | "state": "active", | ||
74 | "title": "TIB", | 74 | "title": "TIB", | ||
75 | "type": "organization" | 75 | "type": "organization" | ||
76 | }, | 76 | }, | ||
77 | "owner_org": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | 77 | "owner_org": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | ||
78 | "page": "", | 78 | "page": "", | ||
79 | "private": false, | 79 | "private": false, | ||
80 | "relationships_as_object": [], | 80 | "relationships_as_object": [], | ||
81 | "relationships_as_subject": [], | 81 | "relationships_as_subject": [], | ||
82 | "resources": [ | 82 | "resources": [ | ||
83 | { | 83 | { | ||
84 | "auto_update": "No", | 84 | "auto_update": "No", | ||
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86 | "auto_update_url": "", | 86 | "auto_update_url": "", | ||
87 | "cache_last_updated": null, | 87 | "cache_last_updated": null, | ||
88 | "cache_url": null, | 88 | "cache_url": null, | ||
89 | "created": "2024-07-16T12:54:50.138720", | 89 | "created": "2024-07-16T12:54:50.138720", | ||
90 | "description": "", | 90 | "description": "", | ||
91 | "format": "ipynb", | 91 | "format": "ipynb", | ||
92 | "hash": "", | 92 | "hash": "", | ||
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94 | "language": "", | 94 | "language": "", | ||
95 | "last_modified": "2024-07-16T12:54:50.114532", | 95 | "last_modified": "2024-07-16T12:54:50.114532", | ||
96 | "media": "", | 96 | "media": "", | ||
97 | "metadata_modified": "2024-07-16T12:54:50.133888", | 97 | "metadata_modified": "2024-07-16T12:54:50.133888", | ||
98 | "mimetype": null, | 98 | "mimetype": null, | ||
99 | "mimetype_inner": null, | 99 | "mimetype_inner": null, | ||
100 | "name": "CoyPu_demo", | 100 | "name": "CoyPu_demo", | ||
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104 | "rights": "", | 104 | "rights": "", | ||
105 | "size": 143758, | 105 | "size": 143758, | ||
106 | "state": "active", | 106 | "state": "active", | ||
107 | "url": | 107 | "url": | ||
108 | ource/1ae4398d-5915-46fa-ae5d-5c33362e5ef5/download/coypu_demo.ipynb", | 108 | ource/1ae4398d-5915-46fa-ae5d-5c33362e5ef5/download/coypu_demo.ipynb", | ||
109 | "url_type": "upload" | 109 | "url_type": "upload" | ||
110 | } | 110 | } | ||
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112 | "spatial": "", | 112 | "spatial": "", | ||
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114 | "start_date": "", | 114 | "start_date": "", | ||
115 | "state": "active", | 115 | "state": "active", | ||
116 | "tags": [], | 116 | "tags": [], | ||
117 | "temporal_resolution": "", | 117 | "temporal_resolution": "", | ||
118 | "title": "Detecting clusters of relatedness between | 118 | "title": "Detecting clusters of relatedness between | ||
119 | Countries-Indicators", | 119 | Countries-Indicators", | ||
120 | "type": "service", | 120 | "type": "service", | ||
121 | "url": | 121 | "url": | ||
122 | ps://github.com/SDM-TIB/CoyPU_demo_LDM/tree/main/Visualizing_Cluster", | 122 | ps://github.com/SDM-TIB/CoyPU_demo_LDM/tree/main/Visualizing_Cluster", | ||
123 | "version": "", | 123 | "version": "", | ||
124 | "version_note": "" | 124 | "version_note": "" | ||
125 | } | 125 | } |