Contributions to Personalizable Knowledge Integration
Martinez, Maria Vanina (University of Maryland College Park)
Researchers Inconsistency and partial information is the norm both in AI and databases, as well as in information retrieval, in knowledge bases used in many real world applications have been working on the problems that arise with the integration that support, among other things, human of heterogeneous knowledge bases for decades [Baral et decision making processes. In this work we argue al., 1991; Benferhat et al., 1997; Besnard and Schaub, 1998; that the management of this kind of data needs to be Arenas et al., 1999; Bohannon et al., 2005]. However, almost context-sensitive, creating a synergy with the user all past approaches proceeded under the assumption that to build useful, flexible data management systems.
Jul-19-2011
- Country:
- North America > United States > Maryland > Prince George's County > College Park (0.15)
- Technology: