TL;DR
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.
This work targets a KG for Sophocles’ Antigone that supports two coupled uses: structured retrieval, through integrity and competency questions expressed in SPARQL over dramatic structure and interpretive annotations; and interactive exploration, through a lightweight read client that navigates lines across languages,...
Scientific Knowledge Graphs (SKGs) rely on increasingly complex and heterogeneous semantic models, whose reuse and interoperability require ontologies and other semantic artefacts to be understandable by both machines and humans. However, existing ontology documentation tools provide limited support for modern reuse-or...
We present the zbMATH Open Knowledge Graph, a large-scale RDF knowledge graph (KG) covering more than 250 years of mathematical scholarship. Unlike existing scholarly knowledge graphs that primarily capture bibliographic metadata and citation structures, the zbMATH Open KG integrates expert-curated semantic content, in...
The MediaGraph Data Model and its prototypical implementation MeGraS, the MediaGraph Store, a novel approach that integrates multimedia content as graph nodes are introduced, allowing the query engine to directly access and process a document's intrinsic content.
Collaborative research projects in life sciences increasingly need to integrate private, embargoed consortium data with public reference databases in order to reach statistically meaningful interpretations. The Resource Description Framework (RDF) is well suited to this task: it facilitates the integration of heterogen...
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.
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