| HOME The working group Khaos Research, belongs to the Department of Computer Languages and Computing Sciences from the University of Malaga. We are a heterogeneous group which works in the intersection of database and Semantic Web technologies. Our main goal is developing technologies and its application in real fields such as Systems Biology and eTourism. Our research lines are: | Scalable reasoning on very large data sets. The real semantic web applications manage large volumes of metadata... | More | | Middleware based on ontologies. This research line is about finding solutions to allow us developing software applications ... | More | | Discovery of semantic relations among ontologies. Ontology alignment consists of discovering the set of semantic correspondences ... | More | | Semantic Web Services Composition. Semantic ESB. Nowadays, researchers on the field of Semantic Web try to solve the problem of data integration ... | More | | Semantic Content Recommendation. Traditional Recommeder Systems are based on collaborative filtering ... | More | | Semantic extension of data bases. Within this line of research we wish to semantically annotate ... | More | | Applications: Systems Biology. Systems Biology is an area of scientific research that worries about the study of biological processes using a systemic approach ... | More | | Applications: Cultural Heritage and Tourism. In this line, we have developed techniques to support the management and diffusion ... | More | | Semantic Web for E-Science. Given the complexity of study the biologic systems ... | More | ONGOING PROJECTS If you wish to look for past projects, click here or go to the Projects option in the main menu.  | ICARIA: From Semantic Web to Systems Biology |  |  | National Project to research about Semantic Web Technologies and its application to Systems Biology. Resources: DBOWL, MaF, SD-Core, SemFit, SemESB, sawsdl, CursoSWS, GOAL, Protopía, KOMF, AMMO-Prot, SBMM Assistant, VSB Research Lines: Applications: Systems Biology, Semantic Web for E-Science Link to the project website |  |  |  |  | |