Changes

On December 2, 2024 at 11:46:41 PM UTC, admin:
Set author of WN18RR to Dettmers et al. (previously Bo Wang)
Updated description of WN18RR from
WN18RR is a filtered version of the WN18 dataset from WordNet, designed to remove inverse triples, making the task of link prediction more challenging.
to
Knowledge graphs store a wealth of knowledge from the real world into structured graphs, which consist of collections of triplets, and each triplet (h, r, t) represents that head entity h is related to tail entity t through a relation type r.
Added the following tags to WN18RR
Removed the version from WN18RR
Changed value of field defined_in to https://doi.org/10.18653/v1/N18-2053 in WN18RR
Changed value of field citation to ['https://doi.org/10.1145/3583780.3614769', 'https://doi.org/10.48550/arXiv.2110.14923', 'https://doi.org/10.48550/arXiv.2110.00720', 'https://doi.org/10.48550/arXiv.2210.14905', 'https://doi.org/10.48550/arXiv.2211.04620', 'https://doi.org/10.48550/arXiv.2206.12418', 'https://doi.org/10.48550/arXiv.2012.07011'] in WN18RR
Changed value of field landing_page to https://github.com/daiquocnguyen/ConvKB in WN18RR
Deleted resource Original Metadata from WN18RR
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Bo Wang", n 3   "author": "Dettmers et al.",
            4   "author_email": "", 4   "author_email": "",
            5   "citation": [ 5   "citation": [
            n 6     "https://doi.org/10.1145/3442381.3450043" n 6     "https://doi.org/10.1145/3583780.3614769",
            7     "https://doi.org/10.48550/arXiv.2110.14923",
            8     "https://doi.org/10.48550/arXiv.2110.00720",
            9     "https://doi.org/10.48550/arXiv.2210.14905",
            10     "https://doi.org/10.48550/arXiv.2211.04620",
            11     "https://doi.org/10.48550/arXiv.2206.12418",
            12     "https://doi.org/10.48550/arXiv.2012.07011"
            7   ], 13   ],
            8   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 14   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 9   "defined_in": "https://doi.org/10.1145/3360901.3364441", n 15   "defined_in": "https://doi.org/10.18653/v1/N18-2053",
            10   "doi": "10.57702/ar8b0ec1", 16   "doi": "10.57702/ar8b0ec1",
            11   "doi_date_published": "2024-11-25", 17   "doi_date_published": "2024-11-25",
            12   "doi_publisher": "TIB", 18   "doi_publisher": "TIB",
            13   "doi_status": true, 19   "doi_status": true,
            14   "domain": "https://service.tib.eu/ldmservice", 20   "domain": "https://service.tib.eu/ldmservice",
            n 15   "extra_authors": [ n 21   "groups": [
            16     { 22     {
            n 17       "extra_author": "Tao Shen", n 23       "description": "",
            18       "orcid": "" 24       "display_name": "Knowledge Graph",
            25       "id": "ca99866c-fafd-4c39-8cf6-afca14a9518c",
            26       "image_display_url": "",
            27       "name": "knowledge-graph",
            28       "title": "Knowledge Graph"
            19     }, 29     },
            20     { 30     {
            n 21       "extra_author": "Guodong Long", n 31       "description": "",
            22       "orcid": "" 32       "display_name": "Knowledge Graph Embeddings",
            33       "id": "b6bfa45d-52be-4df8-8fdb-7f80d8437dc9",
            34       "image_display_url": "",
            35       "name": "knowledge-graph-embeddings",
            36       "title": "Knowledge Graph Embeddings"
            23     }, 37     },
            24     { 38     {
            n 25       "extra_author": "Tianyi Zhou", n 39       "description": "",
            26       "orcid": "" 40       "display_name": "Knowledge Graphs",
            41       "id": "d5fc5594-e3e1-452e-bc80-70c4521b2a8a",
            42       "image_display_url": "",
            43       "name": "knowledge-graphs",
            44       "title": "Knowledge Graphs"
            27     }, 45     },
            28     { 46     {
            n 29       "extra_author": "Ying Wang", n 47       "description": "",
            30       "orcid": "" 48       "display_name": "Link Prediction",
            49       "id": "084e1b51-e6c8-4e21-b58e-a2804f1dc8b7",
            50       "image_display_url": "",
            51       "name": "link-prediction",
            52       "title": "Link Prediction"
            31     }, 53     },
            32     { 54     {
            n 33       "extra_author": "Yi Chang", n 55       "description": "",
            34       "orcid": "" 56       "display_name": "Question Answering",
            57       "id": "01e9bd6b-910d-421d-bb31-799604023211",
            58       "image_display_url": "",
            59       "name": "question-answering",
            60       "title": "Question Answering"
            61     },
            62     {
            63       "description": "",
            64       "display_name": "Relation Extraction",
            65       "id": "9d6a7cda-af8b-44e6-a1f7-3246dddd2c6a",
            66       "image_display_url": "",
            67       "name": "relation-extraction",
            68       "title": "Relation Extraction"
            35     } 69     }
            36   ], 70   ],
            n 37   "groups": [], n 
            38   "id": "336c8b9b-92c2-48e1-a4da-38977bbe87f7", 71   "id": "336c8b9b-92c2-48e1-a4da-38977bbe87f7",
            39   "isopen": false, 72   "isopen": false,
            n 40   "landing_page": "", n 73   "landing_page": "https://github.com/daiquocnguyen/ConvKB",
            41   "license_title": null, 74   "license_title": null,
            42   "link_orkg": "", 75   "link_orkg": "",
            43   "metadata_created": "2024-11-25T14:43:35.792857", 76   "metadata_created": "2024-11-25T14:43:35.792857",
            n 44   "metadata_modified": "2024-11-25T14:43:36.141748", n 77   "metadata_modified": "2024-12-02T23:46:40.376143",
            45   "name": "wn18rr", 78   "name": "wn18rr",
            n 46   "notes": "WN18RR is a filtered version of the WN18 dataset from  n 79   "notes": "Knowledge graphs store a wealth of knowledge from the real 
            47 WordNet, designed to remove inverse triples, making the task of link  80 world into structured graphs, which consist of collections of 
            48 prediction more challenging.", 81 triplets, and each triplet (h, r, t) represents that head entity h is 
            82 related to tail entity t through a relation type r.",
            49   "num_resources": 1, 83   "num_resources": 0,
            50   "num_tags": 0, 84   "num_tags": 18,
            51   "organization": { 85   "organization": {
            52     "approval_status": "approved", 86     "approval_status": "approved",
            53     "created": "2024-11-25T12:11:38.292601", 87     "created": "2024-11-25T12:11:38.292601",
            54     "description": "", 88     "description": "",
            55     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 89     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            56     "image_url": "", 90     "image_url": "",
            57     "is_organization": true, 91     "is_organization": true,
            58     "name": "no-organization", 92     "name": "no-organization",
            59     "state": "active", 93     "state": "active",
            60     "title": "No Organization", 94     "title": "No Organization",
            61     "type": "organization" 95     "type": "organization"
            62   }, 96   },
            63   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 97   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            64   "private": false, 98   "private": false,
            65   "relationships_as_object": [], 99   "relationships_as_object": [],
            66   "relationships_as_subject": [], 100   "relationships_as_subject": [],
            n 67   "resources": [ n 101   "resources": [],
            68     { 102   "services_used_list": "",
            69       "cache_last_updated": null, 
            70       "cache_url": null, 
            71       "created": "2024-11-25T15:30:26", 
            72       "data": [ 
            73         "dcterms:title", 
            74         "dcterms:accessRights", 
            75         "dcterms:creator", 
            76         "dcterms:description", 
            77         "dcterms:issued", 
            78         "dcterms:language", 
            79         "dcterms:identifier", 
            80         "dcat:theme", 
            81         "dcterms:type", 
            82         "dcat:keyword", 
            83         "dcat:landingPage", 
            84         "dcterms:hasVersion", 
            85         "dcterms:format", 
            86         "mls:task", 
            87         "datacite:isDescribedBy" 
            88       ], 
            89       "description": "The json representation of the dataset with its  
            90 distributions based on DCAT.", 
            91       "format": "JSON", 
            92       "hash": "", 
            93       "id": "e6637a43-4795-412b-9913-631c59bc7862", 
            94       "last_modified": "2024-11-25T14:43:36.134722", 
            95       "metadata_modified": "2024-11-25T14:43:36.144663", 
            96       "mimetype": "application/json", 
            97       "mimetype_inner": null, 
            98       "name": "Original Metadata", 
            99       "package_id": "336c8b9b-92c2-48e1-a4da-38977bbe87f7", 
            100       "position": 0, 
            101       "resource_type": null, 
            102       "size": 815, 
            103       "state": "active", 103   "state": "active",
            104       "url":  104   "tags": [
            105 resource/e6637a43-4795-412b-9913-631c59bc7862/download/metadata.json", 105     {
            106       "url_type": "upload" 106       "display_name": "Embeddings",
            107       "id": "7a9296aa-f109-4230-9829-5229e2dff5d0",
            108       "name": "Embeddings",
            109       "state": "active",
            110       "vocabulary_id": null
            111     },
            112     {
            113       "display_name": "Entities",
            114       "id": "434d4db9-ab34-428d-8747-f07e50b59046",
            115       "name": "Entities",
            116       "state": "active",
            117       "vocabulary_id": null
            118     },
            119     {
            120       "display_name": "Entity Disambiguation",
            121       "id": "63ec1828-1cab-49e6-8413-fd6cde130d53",
            122       "name": "Entity Disambiguation",
            123       "state": "active",
            124       "vocabulary_id": null
            125     },
            126     {
            127       "display_name": "Graph Neural Networks",
            128       "id": "8c619694-1a66-4a7d-bcda-bb2d6265d082",
            129       "name": "Graph Neural Networks",
            130       "state": "active",
            131       "vocabulary_id": null
            132     },
            133     {
            134       "display_name": "Information Extraction",
            135       "id": "de657349-3e4b-45a9-9e54-986de7835951",
            136       "name": "Information Extraction",
            137       "state": "active",
            138       "vocabulary_id": null
            139     },
            140     {
            141       "display_name": "Knowledge Graph",
            142       "id": "1bea6e8a-7d3e-45b6-8ebb-3c23ad1b748b",
            143       "name": "Knowledge Graph",
            144       "state": "active",
            145       "vocabulary_id": null
            146     },
            147     {
            148       "display_name": "Knowledge Graphs",
            149       "id": "2775adfa-4581-4fcc-8828-7a93a72f95e4",
            150       "name": "Knowledge Graphs",
            151       "state": "active",
            152       "vocabulary_id": null
            153     },
            154     {
            155       "display_name": "Link Prediction",
            156       "id": "1825a40e-ed51-4256-a71f-800c830d4d19",
            157       "name": "Link Prediction",
            158       "state": "active",
            159       "vocabulary_id": null
            160     },
            161     {
            162       "display_name": "Question Answering",
            163       "id": "90f0a19e-b0c2-47b9-9180-dd38182c8003",
            164       "name": "Question Answering",
            165       "state": "active",
            166       "vocabulary_id": null
            167     },
            168     {
            169       "display_name": "Recommender Systems",
            170       "id": "0d818686-61e8-4e5f-9674-649d4bcc5fed",
            171       "name": "Recommender Systems",
            172       "state": "active",
            173       "vocabulary_id": null
            174     },
            175     {
            176       "display_name": "Relation Extraction",
            177       "id": "5cd3edfb-72f4-4159-b31e-35bf5de7900d",
            178       "name": "Relation Extraction",
            179       "state": "active",
            180       "vocabulary_id": null
            181     },
            182     {
            183       "display_name": "Relations",
            184       "id": "a0475e47-1455-4cf4-9860-79da7854dcd9",
            185       "name": "Relations",
            186       "state": "active",
            187       "vocabulary_id": null
            188     },
            189     {
            190       "display_name": "Triple Completion",
            191       "id": "62333ddc-ef3f-4740-b292-079a29c1f6b0",
            192       "name": "Triple Completion",
            193       "state": "active",
            194       "vocabulary_id": null
            195     },
            196     {
            197       "display_name": "Triplets",
            198       "id": "d6fb2a68-6c8d-4242-8042-1e60dbfa7494",
            199       "name": "Triplets",
            200       "state": "active",
            201       "vocabulary_id": null
            202     },
            203     {
            204       "display_name": "WN18RR",
            205       "id": "5d8c1b00-fe8c-4c7d-b572-a4e4fcabef29",
            206       "name": "WN18RR",
            207       "state": "active",
            208       "vocabulary_id": null
            209     },
            210     {
            211       "display_name": "question answering",
            212       "id": "d4e35d0b-ca07-4d05-bb27-50b2f30f2f00",
            213       "name": "question answering",
            214       "state": "active",
            215       "vocabulary_id": null
            216     },
            217     {
            218       "display_name": "single entity",
            219       "id": "96a6dc93-4c5c-41bd-a3de-4c6eb347e168",
            220       "name": "single entity",
            221       "state": "active",
            222       "vocabulary_id": null
            223     },
            224     {
            225       "display_name": "single relation",
            226       "id": "f4b0bddd-8fab-44fb-8f93-1a8aea1a23ab",
            227       "name": "single relation",
            228       "state": "active",
            229       "vocabulary_id": null
            107     } 230     }
            108   ], 231   ],
            n 109   "services_used_list": "", n 
            110   "state": "active", 
            111   "tags": [], 
            112   "title": "WN18RR", 232   "title": "WN18RR",
            113   "type": "dataset", 233   "type": "dataset",
            t 114   "version": "Filtered" t 234   "version": ""
            115 } 235 }