Knowledge Graphs

Knowledge Graphs

  • A knowledge graph is a structured representation of information that connects data points through relationships, forming a semantic network.
    • It is used to represent knowledge where entities are nodes and relationships are edges.
    • It is designed to capture the meaning and context of data, enabling machines to understand and reason about information.
  • Knowledge graphs facilitate efficient data discovery and exploration. They provide a common language for expressing and sharing knowledge, fostering collaboration and knowledge sharing among different stakeholders.
    • They're great at representing a domain's data, and, together with a model, can deliver answers, though the questions need to be formulated as a query by an expert.
  • Linked data enables us to use the web as a large, decentralized graph database. Using links everywhere in data has amazing merits: links remove ambiguity, they enable exploration, they enable connected datasets.
  • Why didn't it catch on?
    • Graphs always appear like a complicated mess, and we prefer hierarchies and categories.
    • The Knowledge Graph seems like the purest representation of all data in a company but requires you to have all the data in the right format correctly annotated, correctly maintained, changed, and available.
      • It takes too much effort to maintain and keep it semantic instead of copy-paste text around. This is one of the most interesting Large Language Models application.
    • It offers no protection against some team inside the company breaking the whole web by moving to a different URI or refactoring their domain model in incompatible ways.
      • For the Semantic Web to work, the infrastructure behind it needs to permanently keep all of the necessary sources that a file relies on. This could be a place where IPFS or others Decentralized Protocols could help!
    • It tends to assume that the world fits into neat categories. Instead, we live in a world where membership in categories is partial, probabilistic, contested (Pluto), and changes over time.
  • Knowledge graphs might be a great way to give AI a "world view".
  • The status quo of the semantic web space is still SPARQL.
  • Knowledge Graphs act as a semantic layer.
  • Tables in SQL (relational databases) are collections of relationships.
  • Is possible to make append only and dynamic KGs with Temporal Knowledge Graphs!

Projects

  • Plow - A package manager for ontologies empowering anyone to build reliable solutions with ontologies.
  • Golden
  • Geo Browser
  • Atomic Data - Modular specification for sharing, modifying and modeling graph data. It combines the ease of use of JSON, the connectivity of RDF (linked data) and the reliability of type-safety.

David Gasquez digital garden, knowledgebase and playground

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