We present an approach for ontology driven extraction of relations from texts aimed mainly to produce enriched semantic annotations for the Semantic Web. The approach exploits linguistic and empirical strategies, by means of a pipeline method involving processes such as a parser, part-of-speech tagger, named entity recognition system, and pattern-based classification, and resources including on...

Although HIV is detectable throughout the CNS, its preferential disruption of fronto-basal ganglia systems is thought to underlie the neurobehavioral syndrome of HIV-associated dementia. Semantic clustering, a measure of organizational strategy during learning and retrieval, is commonly impaired in patients with frontal systems dysfunction, but has not previously been evaluated in HIV-associate...

The Lean Manufacturing strategy aims at developing the enterprise value chain concept. The Lean makes extensive use of new organizational strategies such as business refocusing and development strategies for interenterprise collaboration. These reorganizations involve agility to deal with structural changes supported by communication technologies. However, the multiplicity of enterprise IT lead...

In this paper we present FedBench, a comprehensive benchmark suite for testing and analyzing the performance of federated query processing strategies on semantic data. The major challenge lies in the heterogeneity of semantic data use cases, where applications may face different settings at both the data and query level, such as varying data access interfaces, incomplete knowledge about data so...

In adults, the ability to apply semantic grouping strategies has been found to depend on working memory. To investigate this relation in children, two sort-recall tasks (one without and one with a grouping instruction) were administered to 6–12-year-olds. The role of working memory was examined by means of mediation analyses and by assessing whether children who successfully used the semantic g...

The application of semantic similarity measures to proteins annotated with Gene Ontology terms has become a common method in bioinformatics. However, the evaluation of these measures is still challenging, since no common standard of evaluation exists. We present an online tool for the automated evaluation of GO-based semantic similarity measures, CESSM, that enables the comparison of new measur...

The aim of this study is to determine the effect of word clustering method on vocabulary learning of Iranian EFL learners through a case of semantic versus phonological clustering. To this effect, 80 homogeneous students from four intermediate classes at an English institute in Torbat e Heydariyeh participated in this research. They were assigned to four groups according to semantic versus phon...