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樓主: Reagan
31#
發(fā)表于 2025-3-26 22:02:36 | 只看該作者
32#
發(fā)表于 2025-3-27 01:34:04 | 只看該作者
33#
發(fā)表于 2025-3-27 06:52:58 | 只看該作者
Conceptual Graphs for Formally Managing and Discovering Complementary Competences,ovry of competences. The foundings of the proposals that are described here after are a formal representation of competences using conceptual graphs and the use of operations on conceptual graphs for competence discovery and their possible composition.
34#
發(fā)表于 2025-3-27 12:29:33 | 只看該作者
https://doi.org/10.1057/9780230599048te-of-the-art in terms of scalability. We used a large LUBM dataset with ten billion triples, and our tests show that RDF-SQ is significantly faster and more efficient than the competitors in almost all cases.
35#
發(fā)表于 2025-3-27 17:00:09 | 只看該作者
https://doi.org/10.1007/978-3-030-52474-6. Extensive experiments are conducted to assess the recommendation performance in term of . and .. Experimental results show that the REN is a good recommendation resource with high quality of related entities. For recommending related entity, the proposed REN-based method achieves good performance
36#
發(fā)表于 2025-3-27 20:20:01 | 只看該作者
RDF-SQ: Mixing Parallel and Sequential Computation for Top-Down OWL RL Inference,te-of-the-art in terms of scalability. We used a large LUBM dataset with ten billion triples, and our tests show that RDF-SQ is significantly faster and more efficient than the competitors in almost all cases.
37#
發(fā)表于 2025-3-28 00:43:32 | 只看該作者
Bring User Interest to Related Entity Recommendation,. Extensive experiments are conducted to assess the recommendation performance in term of . and .. Experimental results show that the REN is a good recommendation resource with high quality of related entities. For recommending related entity, the proposed REN-based method achieves good performance
38#
發(fā)表于 2025-3-28 02:53:58 | 只看該作者
Graph Structures for Knowledge Representation and Reasoning
39#
發(fā)表于 2025-3-28 07:13:18 | 只看該作者
40#
發(fā)表于 2025-3-28 10:24:49 | 只看該作者
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