Diginomica4d
Under the hood of SAP Business AI - a talk with Walter Sun on expert agents, knowledge graphs, and data aggregation
Customers want details on the mechanics of enterprise AI - can vendors deliver? Walter Sun sheds light on the specifics of ...
Scientific Research Publishing5d
A Dynamic Knowledge Base Updating Mechanism-Based Retrieval-Augmented Generation Framework for Intelligent Question-and-Answer Systems ()
In the context of power generation companies, vast amounts of specialized data and expert knowledge have been accumulated. However, challenges such as data silos and fragmented knowledge hinder the ...
GitHub15d
A rich git commit graph in your terminal, like magic
Others may find git log --graph sufficient. Personally, I found the output from git log --graph difficult to read, even with additional options. Learning complex tools just to view logs seemed ...
IEEE15d
Two-Stage Construction Method of Event Knowledge Graph for Emergency Disposal of Gas Accidents
The cascade binary tagging framework (CasRel) is then utilized to extract entities and relationships contained in the background and disposal information ... Finally, a clear event logic knowledge ...
Frontiers16d
Evaluating the effectiveness of prompt engineering for knowledge graph question answering
We evaluate these six prompting methods on the newly created Spider4SPARQL benchmark, as it is the most complex SPARQL-based Knowledge Graph Question Answering (KGQA) benchmark to date. Across the ...
C&EN26d
TarIKGC: A Target Identification Tool Using Semantics-Enhanced Knowledge Graph Completion with Application to CDK2 Inhibitor Discovery
State Key Laboratory of Anti-Infective Drug Discovery and Development, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China ...
GitHub29d
knowledge-graph
It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity ...