Ontology Based System Enhanced with Relationships for Vocabulary hEterogeneity Resolution
- June 25, 2002. Trace of an execution.
- June 3, 2002. Rebuild this web site.
- August 7, 2001. Ontology Server prototype is finished.
- July 2, 2001. Add a Description Logics to simplify the queries.
- May 15, 2001. Begin the development of answering queries formulated over an ontology.
- April 12, 2001. This site is created, and I began to build the logical schemas of Aneto and bib-BDI.
- April 12, 2001. The applications of bib-BDI ontology have been developed.
- February 12, 2001. I begin to build Ontology bib-BDI.
- February 12, 2001. QAneto wrapper is finished.
- January 12, 2001. QAneto wrapper is begun building.
- January 10, 2001. QBib wrapper is made and only must be tested.
- November 2, 2000. Begin a QBib wrapper.
Choose a service:
Modules with access restrictions to avoid unauthorized changes in information
used by the system.
- Log Manager.
- Its goal is to store warning and error messages associated to a
concrete query. When a new query is received, the Query Processor requests the
creation of a new log file and such a file to the rest of the proccesses
involved in the query answering; they communicate any message to the LM which
stores the information.
- Interontology Relationships
- It is the server that provides information about relationships among
ontologies; it manages a list of synonyms, hyponyms, hypernyms and transformer
functions that relate terms in different ontologies. It is invoked by the Query
Processor in order to translate a query in terms of a concrete ontology into
terms of another one.
- Translator from queries in DL into Mapping Information.
- Mapping multi repository to Mappings mono repository (Grammar).
- Translators from mapping to data repository query languages (DRQL):
- QBib. Access to information in bib files.
- QAneto. Access to publications of LIBERTAS System.
- Detailed Execution Trace.
- Ontologies and their underlying data repositories
- With the help of the Query Processor, the user builds a query expressed
in DL using terms from a chosen user ontology. After accessing the relevant
data under the user ontology, and if the user wants more data, the query
processor navigates other component ontologies of the Global Information
System and translates terms in the user query into the component ontologies
preserving the semantics of the user query.
It is also possible to transform the original user query into another
similar semantically where the change in semantics is measured, minimized
and always kept below a limit defined by the user (the maximun loss of
Additional informacion about the OBSERVER project: