Inductive Logic Programming (ILP) is used in semantic rule mining to extract information in a machine-readable format from Knowledge Bases (KBs). Exist- ing ILP ...
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Oct 21, 2023 · In this Ph.D. proposal, an outline of a rule-mining model explicitly tailored to mine Horn rules encapsulating semantics on top of KGs is reported.
In this paper, a new algorithm for the symbolic generation of the state spaces of asynchronous system models, such as Petri nets, is developed. The algorithm is ...
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In recent years, the rise of large Knowledge Graphs (KGs), which capture knowledge in machine-driven formats, has arisen broadly. KGs are the convergence of ...
2 days ago · Symbolic AI is an approach that uses formal logic and structured data to replicate human-like reasoning. In knowledge graphs ...
Nov 14, 2023 · The use of concurrent architecture and the schema graph allows. OP to produce semantically correct rules and calculate exact quality scores of ...
Semantic Symbolic learning over Knowledge Graphs (KGs) demonstrates a rule mining system to mine horn clauses. The goal of rule mining is to identify new ...
Apr 24, 2024 · A knowledge graph (KG) is an abstract data structure used to represent the structured, related information that is extracted from multiple data sources.
ABSTRACT. Symbolic knowledge graphs (KGs) play a pivotal role in knowledge- centric applications such as search, question answering and recom- mendation.
As mentioned in the previous article, Knowledge graphs (KG) are effective in representing structured data and incorporating data coming from different sources, ...