Ontology is a philosophical discipline that studies being qua being. This discipline seeks answers to questions such as what is to be called “beings,” what kinds of beings exist, what categories of beings there are, what the ontological status of numbers would be, whether or not attributes would be being independent of substance, and what the modes of existence would be. These inquiries have been on the agenda of philosophers for two thousand five hundred years, and, according to the theories of the philosophers, the answers to these questions vary greatly.
The increase in data volume, diversity, and complexity has led information systems to certain dead ends in terms of processing and sharing data. The differences in knowledge representation cause petabytes of non-processable data. However, researchers should be empowered to make meaningful discoveries by processing data from different sources and in various formats. Among the main objectives of information technology is representing knowledge in a way that machines can interpret. Ontologies in information systems are tools that model a domain so that machines can process the structured data. The most important feature that distinguishes ontologies from other representation systems is that they are software artifacts that serve to represent knowledge by creating a shared language in machines. These ontologies are called applied ontologies.
We aim at constructing a generative ontology that enables machines to build ontologies based on the contexts automatically. The utmost benefit of the proposed ontology is that it can build off-context and inter-context ontologies for automated reasoning.
Here is the list of our projects.
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