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  2. TerminusDB - Wikipedia

    en.wikipedia.org/wiki/TerminusDB

    TerminusDB is an open source knowledge graph and document store. It is used to build versioned data products. It is a native revision control database that is architecturally similar to Git. It is listed on DB-Engines. TerminusDB provides a document API for building via the JSON exchange format. It implements both GraphQL and a datalog variant ...

  3. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    In-memory database and application server (data grid) TerminusDB: TerminusDB (formerly DataChemist) 2019 JavaScript, Python, Prolog, Rust, JSON-LD: Open Source (Apache 2.0) Open source in-memory graph database designed for knowledge graph representation [13] TimesTen: now Oracle Corporation: 1997 Java, JDBC, ODBC, SQL, PLSQL, C Proprietary

  4. Knowledge graph - Wikipedia

    en.wikipedia.org/wiki/Knowledge_graph

    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 ...

  5. Freebase (database) - Wikipedia

    en.wikipedia.org/wiki/Freebase_(database)

    Google's Knowledge Graph is powered in part by Freebase. [5] During its existence, Freebase data was available for commercial and non-commercial use under a Creative Commons Attribution License, and an open API, RDF endpoint, and a database dump is provided for programmers.

  6. Squirrel AI - Wikipedia

    en.wikipedia.org/wiki/Squirrel_AI

    Each point is linked to related items, forming a "knowledge graph". Each knowledge point is addressed by videos, examples and practice problems. A textbook might address 3,000 points; ALEKS, another adaptive learning platform, uses 1,000. [1] Each student begins with a diagnostic test to identify where to begin their learning. The system ...

  7. Knowledge graph embedding - Wikipedia

    en.wikipedia.org/wiki/Knowledge_graph_embedding

    In representation learning, knowledge graph embedding (KGE), also referred to as knowledge representation learning (KRL), or multi-relation learning, [1] is a machine learning task of learning a low-dimensional representation of a knowledge graph's entities and relations while preserving their semantic meaning.

  8. Google Knowledge Graph - Wikipedia

    en.wikipedia.org/wiki/Google_Knowledge_Graph

    Knowledge panel data about Thomas Jefferson displayed on Google Search, as of January 2015. The Google Knowledge Graph is a knowledge base from which Google serves relevant information in an infobox beside its search results. This allows the user to see the answer in a glance, as an instant answer. The data is generated automatically from a ...

  9. Category:Knowledge graphs - Wikipedia

    en.wikipedia.org/wiki/Category:Knowledge_graphs

    A knowledge graph is a knowledge base that uses a graph-structured data model. Common applications are for gathering lightly-structured associations between topic-specific knowledge in a range of disciplines, which each have their own more detailed data shapes and schemas .