Titlebook: ;

GIBE

https://doi.org/10.1007/978-3-658-43408-3roving the retrieval of more specific items. We use techniques for processing large data sets in parallel, to generate sequences of Galois lattices, overcoming the time complexity of building a lattice for an entire large context.

固定某物

Towards a Framework for Learning from Networked Data,rks of data where everything is connected directly or indirectly to everything else. Examples include social networks, traffic networks, biological networks, administrative networks and economic networks

制定法律

Defining Key Semantics for the RDF Datasets: Experiments and Evaluations,lly the keys by studying how discovered keys could help dataset interlinking or cleaning. We discuss the experimental results and show that the two different semantics lead to comparable results on the studied datasets.

JUST

Extracting Threshold Conceptual Structures from Web Documents,roving the retrieval of more specific items. We use techniques for processing large data sets in parallel, to generate sequences of Galois lattices, overcoming the time complexity of building a lattice for an entire large context.

Heterodoxy

Conceptual Graphs Are Also Graphs,ot only a graphical representation of logic, it is much more: it is a declarative model encoding knowledge in a mathematical theory, namely ., which has efficient computable forms, with a fundamental graph operation on the encodings to do reasoning, ., which is a labelled graph morphism. Main topics

Nonthreatening

形容詞詞尾

propose

Mets552

hauteur