Ontologies are an important technology for the Semantic Web. In different areas ontologies have already been developed and many of these ontologies contain overlapping information...
Information integration and retrieval are useful tasks in many information systems. In these systems, it is far from an easy task to directly integrate information from natural lan...
The creation of quantitative, simulatable, Systems Biology Markup Language (SBML) models that accurately simulate the system under study is a time-intensive manual process that re...
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
Currently, in the field of technology monitoring, it is very important to be able to get relevant information from heterogeneous sources, especially on the World Wide Web. The com...