Knowledge Tree
Construction of Knowledge Graphs: State and Challenges
Facts (10)
Sources
Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org 10 facts
referenceThe authors of 'Construction of Knowledge Graphs: State and Challenges' recommend starting Knowledge Graph construction with large, curated 'premium' data sources such as Wikipedia and DBpedia.
procedureThe values in Table 3 of the paper 'Construction of Knowledge Graphs: State and Challenges' were obtained from the most recent available version of the datasets or publications.
perspectiveOpen and easy-to-use knowledge graph toolsets are currently in their infancy, according to the authors of 'Construction of Knowledge Graphs: State and Challenges'.
claimThe authors of 'Construction of Knowledge Graphs: State and Challenges' focused their analysis on open and semi-automatic knowledge graph implementations, while only briefly discussing closed knowledge graphs because their data is not publicly accessible and their construction techniques are not verifiable.
claimThe authors of the paper 'Construction of Knowledge Graphs: State and Challenges' focus their requirements analysis on the knowledge graph construction process and structured input data, such as entity resolution, rather than focusing solely on the knowledge graph itself.
referenceTable 3 in the paper 'Construction of Knowledge Graphs: State and Challenges' displays knowledge graph attributes including targeted domain, number of data sources, data model, graph size, version count, and last update year.
imageFigure 1 in 'Construction of Knowledge Graphs: State and Challenges' visualizes a simplified knowledge graph containing ten entities across eight types (Country, City, Artist, Album, Record Label, Genre, Song, Year) and various relationships, with ontological information like types or 'is-a' relations represented by dashed lines.
claimMost knowledge graphs considered in the paper 'Construction of Knowledge Graphs: State and Challenges' are based on the Resource Description Framework (RDF), while others use property graphs or custom graph data models.
procedureThe authors of 'Construction of Knowledge Graphs: State and Challenges' identified 23 works for detailed analysis after filtering a list of 64 candidate systems based on requirements coverage, age, and the availability of documentation or publication.
claimThe authors of the paper 'Construction of Knowledge Graphs: State and Challenges' analyzed 16 knowledge graph-specific approaches and seven toolsets to assess the current state of the art in knowledge graph construction.