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#dbpedia — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #dbpedia, aggregated by home.social.

  1. Boom!

    The OpenLink Software #AI Layer (#OPAL) now supports AnthropicAI's #Claude language models.

    See comments for a #DataTwingler AI Agent demo executing #SPARQL and #SQL queries via a live #VirtuosoRDBMS instance.

    Remember, query scope is SPARQL, #ODBC, or #JDBC accessible data sources.

    #GenAI #UseCase #DBpedia #KnowledgeGraph #LinkedData #LODCloud

  2. Boom!

    The OpenLink Software #AI Layer (#OPAL) now supports AnthropicAI's #Claude language models.

    See comments for a #DataTwingler AI Agent demo executing #SPARQL and #SQL queries via a live #VirtuosoRDBMS instance.

    Remember, query scope is SPARQL, #ODBC, or #JDBC accessible data sources.

    #GenAI #UseCase #DBpedia #KnowledgeGraph #LinkedData #LODCloud

  3. Boom!

    The OpenLink Software #AI Layer (#OPAL) now supports AnthropicAI's #Claude language models.

    See comments for a #DataTwingler AI Agent demo executing #SPARQL and #SQL queries via a live #VirtuosoRDBMS instance.

    Remember, query scope is SPARQL, #ODBC, or #JDBC accessible data sources.

    #GenAI #UseCase #DBpedia #KnowledgeGraph #LinkedData #LODCloud

  4. Boom!

    The OpenLink Software #AI Layer (#OPAL) now supports AnthropicAI's #Claude language models.

    See comments for a #DataTwingler AI Agent demo executing #SPARQL and #SQL queries via a live #VirtuosoRDBMS instance.

    Remember, query scope is SPARQL, #ODBC, or #JDBC accessible data sources.

    #GenAI #UseCase #DBpedia #KnowledgeGraph #LinkedData #LODCloud

  5. Boom!

    The OpenLink Software #AI Layer (#OPAL) now supports AnthropicAI's #Claude language models.

    See comments for a #DataTwingler AI Agent demo executing #SPARQL and #SQL queries via a live #VirtuosoRDBMS instance.

    Remember, query scope is SPARQL, #ODBC, or #JDBC accessible data sources.

    #GenAI #UseCase #DBpedia #KnowledgeGraph #LinkedData #LODCloud

  6. Yesterday after the successful PhD defense of Nicolas Heist at University of Mannheim together with Chris Bizer and Heiko Paulheim. Congratulations Dr. Nico!

    Thesis title: Exploiting semi-structured information in Wikipedia for Knowledge Graph Construction
    uni-mannheim.de/dws/news/nicol

    #knowledgegraphs #wikipedia #dbpedia #informationextraction #llms @fiz_karlsruhe @fizise @KIT_Karlsruhe

  7. Yesterday after the successful PhD defense of Nicolas Heist at University of Mannheim together with Chris Bizer and Heiko Paulheim. Congratulations Dr. Nico!

    Thesis title: Exploiting semi-structured information in Wikipedia for Knowledge Graph Construction
    uni-mannheim.de/dws/news/nicol

    #knowledgegraphs #wikipedia #dbpedia #informationextraction #llms @fiz_karlsruhe @fizise @KIT_Karlsruhe

  8. Q: Can I fine-tune #ChatGPT using #SPARQL such that it basically becomes a #SmartAgent capable of querying across the massive #LODCloud #KnowledgeGraph, using natural language?

    Yes!

    Read: community.openlinksw.com/t/how -- which covers a basic example using #DBpedia (#Wikidata content in machine-computable and queryable form).

    #SemanticWeb #LinkedData #JSONL #RDF #LLMs #DBpedia #VirtuosoRDBMS #JSONL

  9. #SPASQL is how our #VirtuosoRDBMS enables declarative operations on data organized as tables or graphs via #SPARQL inside #SQL.

    What are the benefits?

    [1] Ubiquitous Data Source Names (#DSNs), courtesy of #HTTP

    [2] Fine-grained entity relationship graph comprising clickable edges and nodes that function as #SuperKeys

    #ChatGPT knows SPASQL too!

    community.openlinksw.com/t/how

    #SemanticWeb #LinkedData #GraphDatabase #DBMS #RDBMS #CDO #CIO #CTO #DataOps #DBpedia #LODCloud #KnowledgeGraph #HowTo

  10. #SPASQL is how our #VirtuosoRDBMS enables declarative operations on data organized as tables or graphs via #SPARQL inside #SQL.

    What are the benefits?

    [1] Ubiquitous Data Source Names (#DSNs), courtesy of #HTTP

    [2] Fine-grained entity relationship graph comprising clickable edges and nodes that function as #SuperKeys

    #ChatGPT knows SPASQL too!

    community.openlinksw.com/t/how

    #SemanticWeb #LinkedData #GraphDatabase #DBMS #RDBMS #CDO #CIO #CTO #DataOps #DBpedia #LODCloud #KnowledgeGraph #HowTo

  11. #SPASQL is how our #VirtuosoRDBMS enables declarative operations on data organized as tables or graphs via #SPARQL inside #SQL.

    What are the benefits?

    [1] Ubiquitous Data Source Names (#DSNs), courtesy of #HTTP

    [2] Fine-grained entity relationship graph comprising clickable edges and nodes that function as #SuperKeys

    #ChatGPT knows SPASQL too!

    community.openlinksw.com/t/how

    #SemanticWeb #LinkedData #GraphDatabase #DBMS #RDBMS #CDO #CIO #CTO #DataOps #DBpedia #LODCloud #KnowledgeGraph #HowTo

  12. #SPASQL is how our #VirtuosoRDBMS enables declarative operations on data organized as tables or graphs via #SPARQL inside #SQL.

    What are the benefits?

    [1] Ubiquitous Data Source Names (#DSNs), courtesy of #HTTP

    [2] Fine-grained entity relationship graph comprising clickable edges and nodes that function as #SuperKeys

    #ChatGPT knows SPASQL too!

    community.openlinksw.com/t/how

    #SemanticWeb #LinkedData #GraphDatabase #DBMS #RDBMS #CDO #CIO #CTO #DataOps #DBpedia #LODCloud #KnowledgeGraph #HowTo

  13. #SPASQL is how our #VirtuosoRDBMS enables declarative operations on data organized as tables or graphs via #SPARQL inside #SQL.

    What are the benefits?

    [1] Ubiquitous Data Source Names (#DSNs), courtesy of #HTTP

    [2] Fine-grained entity relationship graph comprising clickable edges and nodes that function as #SuperKeys

    #ChatGPT knows SPASQL too!

    community.openlinksw.com/t/how

    #SemanticWeb #LinkedData #GraphDatabase #DBMS #RDBMS #CDO #CIO #CTO #DataOps #DBpedia #LODCloud #KnowledgeGraph #HowTo

  14. Screencast demonstrating #DBpedia interaction using #ChatGPT4 regarding the generation of a random list classes denoted by live hyperlinks for easy exploration and serendipitous discovery.

    youtube.com/watch?v=DaM_QsSCI3

    #LinkedData #HowTo #LODCloud #KnowledgeGraph #CDO #CIO #CTO #CMO #ChatGPT #SemanticWeb

  15. For many years I've observed the following in parallel:

    1. General confusion (and in some cases disdain) about the notion of a #SemanticWeb

    2. Steadfast effort by a community to keep the vision going, stealthily, as exemplified by the #LODCloud (#DBpedia,, #Wikidata, #Uniprot etc..) and Schema.org (#SchemaOrg)

    3. #DataSilos and all the impedance they inflict on the agility of individuals and enterprises alike on the rise i.e., #DataAccess and #DataFlow are still challenging, unnecessarily.

  16. For many years I've observed the following in parallel:

    1. General confusion (and in some cases disdain) about the notion of a #SemanticWeb

    2. Steadfast effort by a community to keep the vision going, stealthily, as exemplified by the #LODCloud (#DBpedia,, #Wikidata, #Uniprot etc..) and Schema.org (#SchemaOrg)

    3. #DataSilos and all the impedance they inflict on the agility of individuals and enterprises alike on the rise i.e., #DataAccess and #DataFlow are still challenging, unnecessarily.

  17. For many years I've observed the following in parallel:

    1. General confusion (and in some cases disdain) about the notion of a #SemanticWeb

    2. Steadfast effort by a community to keep the vision going, stealthily, as exemplified by the #LODCloud (#DBpedia,, #Wikidata, #Uniprot etc..) and Schema.org (#SchemaOrg)

    3. #DataSilos and all the impedance they inflict on the agility of individuals and enterprises alike on the rise i.e., #DataAccess and #DataFlow are still challenging, unnecessarily.

  18. For many years I've observed the following in parallel:

    1. General confusion (and in some cases disdain) about the notion of a #SemanticWeb

    2. Steadfast effort by a community to keep the vision going, stealthily, as exemplified by the #LODCloud (#DBpedia,, #Wikidata, #Uniprot etc..) and Schema.org (#SchemaOrg)

    3. #DataSilos and all the impedance they inflict on the agility of individuals and enterprises alike on the rise i.e., #DataAccess and #DataFlow are still challenging, unnecessarily.

  19. For many years I've observed the following in parallel:

    1. General confusion (and in some cases disdain) about the notion of a #SemanticWeb

    2. Steadfast effort by a community to keep the vision going, stealthily, as exemplified by the #LODCloud (#DBpedia,, #Wikidata, #Uniprot etc..) and Schema.org (#SchemaOrg)

    3. #DataSilos and all the impedance they inflict on the agility of individuals and enterprises alike on the rise i.e., #DataAccess and #DataFlow are still challenging, unnecessarily.

  20. When looking at the #provenances of #artworks, it is important to know if a #name belongs to a person who fled Nazi Germany or who was murdered in the Holocaust.
    🚩
    All too frequently these names are #erased or distorted to conceal the history of the artworks.

    Here is a Sparql query that lists 2000+ Jewish emigrants in Wikipedia
    (#DBpedia categories that contain the words "Jewish emigrant" links)

    openartdata.org/2022/12/2000-j

    #Holocaust #histodon
    #linkeddata #semanticweb #sparql

  21. When looking at the #provenances of #artworks, it is important to know if a #name belongs to a person who fled Nazi Germany or who was murdered in the Holocaust.
    🚩
    All too frequently these names are #erased or distorted to conceal the history of the artworks.

    Here is a Sparql query that lists 2000+ Jewish emigrants in Wikipedia
    (#DBpedia categories that contain the words "Jewish emigrant" links)

    openartdata.org/2022/12/2000-j

    #Holocaust #histodon
    #linkeddata #semanticweb #sparql

  22. When looking at the #provenances of #artworks, it is important to know if a #name belongs to a person who fled Nazi Germany or who was murdered in the Holocaust.
    🚩
    All too frequently these names are #erased or distorted to conceal the history of the artworks.

    Here is a Sparql query that lists 2000+ Jewish emigrants in Wikipedia
    (#DBpedia categories that contain the words "Jewish emigrant" links)

    openartdata.org/2022/12/2000-j

    #Holocaust #histodon
    #linkeddata #semanticweb #sparql

  23. When looking at the #provenances of #artworks, it is important to know if a #name belongs to a person who fled Nazi Germany or who was murdered in the Holocaust.
    🚩
    All too frequently these names are #erased or distorted to conceal the history of the artworks.

    Here is a Sparql query that lists 2000+ Jewish emigrants in Wikipedia
    (#DBpedia categories that contain the words "Jewish emigrant" links)

    openartdata.org/2022/12/2000-j

    #Holocaust #histodon
    #linkeddata #semanticweb #sparql