Titlebook: Knowledge Discovery Enhanced with Semantic and Social Information; Bettina Berendt,Dunja Mladeni?,Filip ?elezny Book 2009 Springer-Verlag

Axillary

借喻

On Ontologies as Prior Conceptual Knowledge in Inductive Logic Programminga critical look at three ILP proposals based on knowledge representation frameworks that integrate Description Logics and Horn Clausal Logic. From the comparative analysis of the three, we draw general conclusions that can be considered as guidelines for an upcoming Onto-Relational Learning aimed at

Incommensurate

健忘癥

A Study of the SEMINTEC Approach to Frequent Pattern Miningin description logic with rules (so-called .-safe ones). Frequent patterns in this approach are the conjunctive queries to a combined knowledge base. In this paper, first, we prove that the approach introduced in our previous work for the DLP fragment of description logic family of languages, is als

Foolproof

SOBER

The , Project: Web Information Extraction Using Extraction Ontologiesed from initial domain modelling to running a functional prototype, without the necessity of collecting and labelling large amounts of training examples. Bottlenecks in this approach are however the tedium of developing an extraction ontology adequately covering the semantic scope of web data to be

營養(yǎng)

Amnesty

Item Weighting Techniques for Collaborative Filteringthe computation of user-to-user similarity is an important element in CF; it is used in the neighborhood formation and rating prediction steps. In this paper we investigate the role of item weighting techniques. An item weight provides a measure of the importance of an item for predicting the rating

FECK

Detonate