This work presents a data-driven framework designed to bridge the gap between interactive exploration and formal logic reasoning, which allows researchers to interactively validate complex hypotheses and uncover latent clusters that would be difficult to identify through traditional imperative filtering.
This work proposes Explore-Construct-Verify (ECV), a three-stage framework for API KG construction using large language models (LLMs), which preserves LLMs’ ability to discover domain-specific knowledge while enabling efficient post-hoc validation.
Yan-Bang Sun, Qing Huang, Zhen-Chang Xing et al.· ACM Transactions on Software...· 0 citations
The Semantic Tree Advanced module is presented, a specialized hierarchical navigation component for the ResearchSpace platform addressing performance and usability limitations in browsing RDF knowledge graphs.
Remo Grillo, Lucia Giagnolini, P. Bonora· 0 citations
This paper proposes a deterministic, explainable framework for validating uncertain entities during Knowledge Graph (KG) expansion. The contribution is conceptual and formal: we present the framework and demonstrate its internal mathematical coherence, while empirical evaluation is explicitly deferred to future work. S...
Simon Von Oppenkowski, Benedikt Lerch, Klemens Schnattinger· European Conference on Knowl...· 0 citations
NEXO is presented, a task-driven system for comparative KG exploration that combines natural language interaction with adaptive, coordinated visualizations and supports value comparison, path comparison, and neighborhood exploration across one-to-one, one-to-many, and many-to-many comparison structures.
Reza Shahriari, Justin M. Whorton, J. Bona et al.· 0 citations
Results show that structured schema context and lightweight prompting can substantially reduce reliance on fine-tuning for scalable conversational access to KGs, though closing the remaining gap to fully fine-tuned approaches will likely require reducing dependence on curated question-query exemplars.
Harshdeep Singh, Yu-Rui Zhu, Giovanni Colavizza et al.· 0 citations
Modern data are increasingly represented and utilized as interconnected networks, including collaboration graphs, multi-relational user–item interactions, and schema-less knowledge graphs that support retrieval-augmented generation pipelines. While graph analytics has become a key foundation for intelligent data mining...
Yao Hu, Qian Huang· Innovation Discovery· 0 citations
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