These are the datasets used in the Entity Type Prediction task for Knowledge Graph Completion. DB630k_Fine-grained_Hierarchical.zip dataset has been used in the papers [1] and [2]. It is an extended version of DBpedia630k dataset originally created for Text classification and is available here. FIGER.zip dataset has also been used in the papers [1] and [2]. MultilingualETdata.zip dataset has been used in the paper [3] NamesETdata.zip dataset has been used in the paper [4]. The CaLiGraph test dataset can also be downloaded here. [1] Biswas R, Sofronova R, Sack H, Alam M. Cat2type: Wikipedia category embeddings for entity typing in knowledge graphs. InProceedings of the 11th on Knowledge Capture Conference 2021 Dec 2 (pp. 81-88). ...
Knowledge Graphs (KGs) have been proven to be incredibly useful for enriching semantic Web search re...
Knowledge graph embedding aims to embed entities and relations into low-dimensional vector spaces. M...
Knowledge graph entity typing (KGET) aims at inferring plausible types of entities in knowledge grap...
These are the datasets used in the Entity Type Prediction task for Knowledge Graph Completion. DB...
Entity type prediction is the task to assign an entity in a Knowledge Graph (KG) its semantic type. ...
We describe an approach for identifying fine-grained entity types in heterogeneous data graphs that ...
Wikipedia is the largest online encyclopedia, which appears in more than 301 different languages, wi...
Master's thesis in Computer ScienceKnowledge bases contain vast amounts of information about entitie...
A large fraction of online queries targets entities. For this reason, Search Engine Result Pages (SE...
We investigate the knowledge graph entity typing task which aims at inferring plausible entity types...
Fine-grained entity typing aims to identify the semantic type of an entity in a particular plain tex...
We investigate the knowledge graph entity typing task which aims at inferring plausible entity types...
We investigate the knowledge graph entity typing task which aims at inferring plausible entity types...
We investigate the knowledge graph entity typing task which aims at inferring plausible entity types...
Recent years have witnessed a rapid growth of knowledge graphs (KGs) such as Freebase, DBpedia, or Y...
Knowledge Graphs (KGs) have been proven to be incredibly useful for enriching semantic Web search re...
Knowledge graph embedding aims to embed entities and relations into low-dimensional vector spaces. M...
Knowledge graph entity typing (KGET) aims at inferring plausible types of entities in knowledge grap...
These are the datasets used in the Entity Type Prediction task for Knowledge Graph Completion. DB...
Entity type prediction is the task to assign an entity in a Knowledge Graph (KG) its semantic type. ...
We describe an approach for identifying fine-grained entity types in heterogeneous data graphs that ...
Wikipedia is the largest online encyclopedia, which appears in more than 301 different languages, wi...
Master's thesis in Computer ScienceKnowledge bases contain vast amounts of information about entitie...
A large fraction of online queries targets entities. For this reason, Search Engine Result Pages (SE...
We investigate the knowledge graph entity typing task which aims at inferring plausible entity types...
Fine-grained entity typing aims to identify the semantic type of an entity in a particular plain tex...
We investigate the knowledge graph entity typing task which aims at inferring plausible entity types...
We investigate the knowledge graph entity typing task which aims at inferring plausible entity types...
We investigate the knowledge graph entity typing task which aims at inferring plausible entity types...
Recent years have witnessed a rapid growth of knowledge graphs (KGs) such as Freebase, DBpedia, or Y...
Knowledge Graphs (KGs) have been proven to be incredibly useful for enriching semantic Web search re...
Knowledge graph embedding aims to embed entities and relations into low-dimensional vector spaces. M...
Knowledge graph entity typing (KGET) aims at inferring plausible types of entities in knowledge grap...