Knowledge Tree
Relations (1)
related 12.00 — strongly supporting 12 facts
An ontology serves as the foundational schema and semantic structure for a knowledge graph, defining the entities, relationships, and rules that govern it as described in [1], [2], and [3]. Furthermore, the construction and maintenance of a knowledge graph are intrinsically linked to the development and refinement of its underlying ontology, as evidenced by [4], [5], and [6].
Facts (12)
Sources
Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org 7 facts
quoteEhrlinger et al. define a knowledge graph as a system that 'acquires and integrates information into an ontology and applies a reasoner to derive new knowledge.'
claimAssessing the quality of a Knowledge Graph is extremely challenging because there are many valid ways to structure and populate Knowledge Graphs, and even subproblems like evaluating the quality of a Knowledge Graph ontology are difficult.
claimA knowledge graph's ontology defines the concepts, relationships, and rules governing the semantic structure within a knowledge graph, including the types and properties of entities and their relationships.
claimValidating a knowledge graph's data integrity concerning its underlying semantic structure (ontology) is a specific quality aspect of knowledge graph construction.
referenceMethods for learning ontologies from relational databases focus on reverse engineering or using mappings to transform a relational database schema into an ontology or knowledge graph. Reverse engineering allows for the derivation of an Entity-Relationship diagram or conceptual model from the relational schema, though this requires careful handling of trigger and constraint definitions to prevent semantic loss.
procedureExtraction methods for semi-structured data typically combine data cleaning and rule-based mappings to transform input data into a knowledge graph, targeting defined classes and relations of an existing ontology.
claimSemantic reasoning and inference allow for the validation of a knowledge graph's consistency based on a given ontology or individual structural constraints.
What are the challenges in maintaining a knowledge graph? - Milvus milvus.io 1 fact
claimMaintaining an accurate knowledge graph requires continuous updates and refinements to the ontology to accommodate new data and evolving real-world contexts, which is a time-consuming and resource-intensive process.
A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com 1 fact
claimA Knowledge Graph requires an ontology, which is a schema or structure that defines the types of entities, relationships, and associations within a domain context to provide semantic context and support reasoning and knowledge inference.
The construction and refined extraction techniques of knowledge ... nature.com 1 fact
claimFuture development of the knowledge graph framework involves incorporating additional data types, such as document images, diagrams, tables, structured sources, and time-series logs, within the same ontology to quantify their incremental value against the text-only baseline.
Addressing common challenges with knowledge graphs - SciBite scibite.com 1 fact
claimSciBite defines a knowledge graph as a semantic graph that integrates information into an ontology.
Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com 1 fact
claimThe schema for a knowledge graph is defined as an ontology, which describes the properties of a specific domain and how they are related, making ontology construction an essential stage of knowledge graph construction.