Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …

Semantic integration is an active area of research in several disciplines, such as databases,
information-integration, and ontologies. This paper provides a brief survey of the …

In recent years, the decentralized development of ontologies has led to the generation of
multiple ontologies of overlap** knowledge. This heterogeneity problem can be tackled by …

Ontologies are a crucial tool for formally specifying the vocabulary and relationship of
concepts used on the Semantic Web. In order to share information, agents that use different …

The Internet of Things (IoT) allows machines and devices in the world to connect with each
other and generate a huge amount of data, which has a great potential to provide useful …

With the rising popularity of Web services, both academia and industry have invested
considerably in Web service description standards, discovery, and composition techniques …

Ontology translation is one of the most difficult problems that web-based agents must cope
with. An ontology is a formal specification of a vocabulary, including axioms relating its …

If the word ontology is more and more used in a number of domain, the capabilities and
benefits of ontology for Information Systems management are still unclear. Therefore, the …

Background A key abstraction in representing proteomics knowledge is the notion of unique
identifiers for individual entities (eg proteins) and the massive graph of relationships among …

Research on semantic web services promises greater interoperability among software
agents and web services by enabling content-based automated service discovery and …