Recent progress in information extraction has shown how to automatically build large ontologies from high-quality sources like Wikipedia. But knowledge evolves over time; facts ha...
Yafang Wang, Mingjie Zhu, Lizhen Qu, Marc Spaniol,...
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
Discovering mappings between concept hierarchies is widely regarded as one of the hardest and most urgent problems facing the Semantic Web. The problem is even harder in domains w...
Risto Gligorov, Warner ten Kate, Zharko Aleksovski...
The paper discusses some innovative aspects related to the integration of a framework based on Answer Set Programming in an Information Retrieval Agent, namely, the Global Search A...
Giovambattista Ianni, Francesco Calimeri, Vincenzi...
The success of the Semantic Web crucially depends on the existence of Web pages that provide machine-understandable meta-data. This meta-data is typically added in the semantic an...