Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
When talking about spatial domains, humans frequently accompany their explanations with iconic gestures to depict what they are referring to. For example, when giving directions, ...
Abstract. Multi-Agent Systems (MAS) architectures are gaining popularity over traditional ones for building open, distributed or evolving software. To formally define system archit...
An XML data binding is a translation of XML documents into values of some programming language. This paper discusses a typepreserving XML–Haskell data binding that handles docume...
There are a number of genuinely open questions concerning the use of domain models in nlp. It would be great if contributors to Applied Ontology could help addressing them rather ...