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Graph-based entity linking uses features of the graph topology or multi-hop connections between entities, which are hidden to simple text analysis. Han et al. propose the creation of a disambiguation graph (a subgraph of the knowledge base which contains candidate entities). [2]
In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the free-form semantics ...
The embedding of a knowledge graph translates each entity and relation of a knowledge graph, into a vector of a given dimension , called embedding dimension. [7] In the general case, we can have different embedding dimensions for the entities d {\displaystyle d} and the relations k {\displaystyle k} . [ 7 ]
An entity–relationship model (or ER model) describes interrelated things of interest in a specific domain of knowledge. A basic ER model is composed of entity types (which classify the things of interest) and specifies relationships that can exist between entities (instances of those entity types).
Entity linking; At the terminology extraction level, lexical terms from the text are extracted. For this purpose a tokenizer determines at first the word boundaries and solves abbreviations. Afterwards terms from the text, which correspond to a concept, are extracted with the help of a domain-specific lexicon to link these at entity linking.
KnowWhereGraph [27] – an integrated 12 billion triples strong knowledge graph of 30 data layers at the intersection between humans and their environment using Semantic Web and Linked Data technologies. [28] Open ICEcat [uk; nl] - a multilingual open catalogue containing product datasheets, related digital assets and usage statistics.
Wikidata is a collaboratively edited multilingual knowledge graph hosted by the Wikimedia Foundation. [2] It is a common source of open data that Wikimedia projects such as Wikipedia, [3] [4] and anyone else, is able to use under the CC0 public domain license.
In network theory, link prediction is the problem of predicting the existence of a link between two entities in a network. Examples of link prediction include predicting friendship links among users in a social network, predicting co-authorship links in a citation network, and predicting interactions between genes and proteins in a biological network.