Nov 4, 2019 · Facet ranking is of particular importance for dynamic facet generation in order to select from the considerable number of facet candidates.

Automated methods to rank and select the most useful subset from the list of candidate facets. Define metrics for measuring the usefulness of facets. Facet 1.

We present our approach for automatic facet generation and selection over knowledge graphs. We propose methods for (1) candidate facet generation and (2) facet ...

We present our approach for automatic facet generation and selection over knowledge graphs. We propose methods for (1) candidate facet generation and (2) facet ...

We present our approach for automatic facet generation and selection over knowledge graphs. We propose methods for (1) candidate facet generation and (2) facet ...

Automatic Facet Generation and Selection over Knowledge Graphs. With the continuous growth of the Linked Data Cloud, adequate methods to efficiently explore ...

Mar 24, 2024 · We introduce a model for aiding users in formulating analytic queries over complex, ie, not necessarily star schema-based, RDF Knowledge Graphs.

Automatic facet generation and selection over knowledge graphs L Feddoul, S Schindler, F Löffler Semantic Systems. The Power of AI and Knowledge Graphs.

Most research and development on automated knowledge extraction focuses on using extensive unstructured data sets, as they provide valuable contextual ...

In this paper we describe an approach that allows humans to access information contained in the Semantic Web according to its semantics.