01576nam a2200229 a 450000100080000000500110000800800410001902000180006010000230007824500780010126001530017930000140033249000540034650000600040052007790046065300280123965300190126765300190128665300140130565300130131970000140133210082662020-01-17       2004    bl uuuu     u00u1 u    #d  a3-540-22959-01 aSOUZA, K. X. S. de  aUsing an aligned ontology to process user queries.h[electronic resource]  aIn: INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: METHODOLOGY, SYSTEMS, APPLICATIONS, 11., 2004, Varna. Proceedings... Berlin: Springerc2004  ap. 44-53.  a(Lecture notes in artificial intelligence, 3192).  aEditores: Christoph Bussler, Dieter Fensel. AIMSA 2004.  aOntologies have been developed for a number of knowledge domains as diverse as clinical terminology, photo camera parts and micro-array gene expression data. However, processing user queries over a set of overlapping ontologies is not straightforward because they have often been created by independent groups of expertise, each of them adopting different configurations for ontology concepts. A project being carried out at the Brazilian Corporation of Agricultural Research has produced ontologies in sub-domains such as beef cattle, dairy cattle, sheep and beans, among others. This paper focuses on an alignment method for these ontologies based on Formal Concept Analysis, a data analysis technique founded on lattice theory, and a strategy for processing user queries.  aFormal Concept Analysis  aGalois lattice  aLattice theory  aOntologia  aOntology1 aDAVIS, J.