Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
Abstract. We propose a mapping from the Enhanced Entity Relationship conceptual model to the W3C XML Schema Language with the following properties: information and integrity constr...
This paper considers a semantic approach for merging logic programs under answer set semantics. Given logic programs P1, . . . , Pn, the goal is to provide characterisations of the...
James P. Delgrande, Torsten Schaub, Hans Tompits, ...
A novel approach is proposed for ezpresaing and computing eficienily a large cla88 of problem8, including jinding the shortest path in a graph, that were previously considered imp...
Background: Whereas the molecular assembly of protein expression clones is readily automated and routinely accomplished in high throughput, sequence verification of these clones i...
Elena Taycher, Andreas Rolfs, Yanhui Hu, Dongmei Z...