Context-Aware Knowledge Graphs Exploratory Search

  • Veronica dos Santos Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)
  • Edward Hermann Haeusler Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)
  • Daniel Schwabe Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)
  • Sergio Lifschitz Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)


The exploratory search approach recognizes that user queries can be incomplete, inaccurate, and ambiguous. This occurs both because of incomplete domain knowledge by the user or due to implicit assumptions about the context. This ongoing research aims to enrich Knowledge Graphs (KG) to support context-aware exploration through expanded queries. We propose a Contextual KG (CKG) definition and schema that characterizes the necessary elements for modeling contextual information and a query-answering approach that retrieves all (contextualized) possible answers.

Palavras-chave: Graphs, networks and semistructured data management, Information retrieval, Knowledge bases, knowledge graphs, and modeling, Web data management


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DOS SANTOS, Veronica; HAEUSLER, Edward Hermann; SCHWABE, Daniel; LIFSCHITZ, Sergio. Context-Aware Knowledge Graphs Exploratory Search. In: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS (SBBD), 38. , 2023, Belo Horizonte/MG. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 360-365. ISSN 2763-8979. DOI: