• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Scopus
  4. Bounded Descriptions for Knowledge Graph Traversal by Language Models
 
  • Details
  • Full
Options
2026
Conference Paper
Title

Bounded Descriptions for Knowledge Graph Traversal by Language Models

Abstract
A bounded description of a resource is a useful default subgraph that represents relevant information. When accessing RDF knowledge graphs, bounded descriptions are returned for SPARQL DESCRIBE queries or for HTTP GET requests on Linked Data. Concise Bounded Description (CBD) is the de facto default, but only provides conditional reachability of connected resources, limiting its usefulness for knowledge graph traversal. This paper outlines alternative bounded description specifications consisting of chained and parallel combinations of construction steps. Furthermore, characteristics of bounded description specifications are introduced, including ontology awareness, applicability, and reachability. The evaluation challenges the traversal of a knowledge graph with n-ary relations using retrieved bounded descriptions. Results confirm limitations of the CBD specification, highlight the impact of reachability, and bring attention to ontology-aware and set-specific bounded descriptions.
Author(s)
Henselmann, Daniel  orcid-logo
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Harth, Andreas
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Mainwork
The Semantic Web. 23rd European Semantic Web Conference, ESWC 2026. Proceedings. Part I  
Funder
Bundesministerium für Wirtschaft und Energie  
Conference
European Semantic Web Conference 2026  
DOI
10.1007/978-3-032-25156-5_20
Language
English
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Keyword(s)
  • Bounded descriptions

  • Linked Data

  • N-ary relations

  • RDF knowledge graphs

  • SPARQL

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024