| Attributes | Values |
|---|
| described by
| |
| category
| - Linked Data
- Semantic Web
- Virtuoso
- Graph Database
- Web 3.0
- Knowledge Graph
|
| text
| - Virtuoso uses LLMs as a natural language based conversational UI/UX into its modern multi-model data layer comprising structured data represented as tables (n-tuples) or RDF-based entity relationship graphs (3-tuples) which are also generally referred to as Knowledge Graphs. Integration occurs in loosely-coupled fashion, courtesy of Linked Data Principles where hyperlinks functioning as powerful pointers usable for creating data source names from SQL and/or SPARQL query templates for LLM fine-tuning.
This capability extends to the following functionality realms:
<ul>
<li>
- Reasoning & Inference: Built-in and/or custom reasoning and inference that scales massively for conceptual data analysis, integration, and management</li>
<li> - Data Virtualization: Powerful virtual database core that extends its data reach to HTTP-, ODBC-, and JDBC-accessible data source across private and/or public networks. Once attached, this data is harmonized semantically using a variety of mapping techniques based on existing open standards e.g., the RDF-based RDF to Relational Mapping Language commonly referred to as R2RML.</li>
<li> - Data Crawling: Unique native ability to crawl data from across a public or private network as part of its query solution production pipeline in very fine-grained form i.e., to the level of query language variables and constants.</li>
</ul>
|
| type
| |
| schema:answerExplanation
| - Virtuoso uses LLMs as a natural language based conversational UI/UX into its modern multi-model data layer comprising structured data represented as tables (n-tuples) or RDF-based entity relationship graphs (3-tuples) which are also generally referred to as Knowledge Graphs. Integration occurs in loosely-coupled fashion, courtesy of Linked Data Principles where hyperlinks functioning as powerful pointers usable for creating data source names from SQL and/or SPARQL query templates for LLM fine-tuning.
This capability extends to the following functionality realms:
<ul>
<li>
- Reasoning & Inference: Built-in and/or custom reasoning and inference that scales massively for conceptual data analysis, integration, and management</li>
<li> - Data Virtualization: Powerful virtual database core that extends its data reach to HTTP-, ODBC-, and JDBC-accessible data source across private and/or public networks. Once attached, this data is harmonized semantically using a variety of mapping techniques based on existing open standards e.g., the RDF-based RDF to Relational Mapping Language commonly referred to as R2RML.</li>
<li> - Data Crawling: Unique native ability to crawl data from across a public or private network as part of its query solution production pipeline in very fine-grained form i.e., to the level of query language variables and constants.</li>
</ul>
|
| is topic
of | |
| is acceptedAnswer
of | |
![[RDF Data]](/fct/images/sw-rdf-blue.png)
![[cxml]](/fct/images/cxml_doc.png)
![[csv]](/fct/images/csv_doc.png)
![[text]](/fct/images/ntriples_doc.png)
![[turtle]](/fct/images/n3turtle_doc.png)
![[ld+json]](/fct/images/jsonld_doc.png)
![[rdf+json]](/fct/images/json_doc.png)
![[rdf+xml]](/fct/images/xml_doc.png)
![[atom+xml]](/fct/images/atom_doc.png)
![[html]](/fct/images/html_doc.png)