Title :
Web access of meteorological and oceanographic data
Author :
Petry, Frederick E. ; Lin, Bruce ; Sween, Ricahrd ; Ladner, Roy
Author_Institution :
Mapping, Charting & Geodesy, Naval Res. Lab., Stennis Space Center, MS
Abstract :
Web services are becoming the standard technology used to share data for many navy and other DoD operations. These enable an automated capability to obtain and integrate data for data fusion. However assimilation of data from Web-based sources means that differences in schema and terminology prevent simple querying and retrieval of data. Thus, machine understanding of the Web services interface is necessary for automated selection and invocation of the correct service. In this paper we describe an advanced architecture that can provide access to Web-based meteorological and oceanographic (METOC) data that can be utilized in geospatial data fusion. We also discuss the use of case-based classification as an alternative/supplement to using ontologies for resolving knowledge sharing. While ontologies encompass a formal definition of a domain of interest, case-based reasoning is a problem solving methodology that retrieves and reuses decisions from stored cases to solve new problems, and case-based classification involves applying this methodology to classification task.
Keywords :
Web services; case-based reasoning; classification; data assimilation; geophysics computing; learning (artificial intelligence); meteorology; oceanographic techniques; ontologies (artificial intelligence); problem solving; query processing; semantic Web; sensor fusion; DoD operation; METOC; case-based classification; case-based reasoning; data assimilation; data querying; data retrieval; geospatial data fusion; knowledge sharing; machine learning; meteorological data access; navy operation; oceanographic data access; ontology method; problem solving methodology; semantic Web service interface; Geodesy; Information retrieval; Laboratories; Meteorology; Military aircraft; Ontologies; Problem-solving; Space technology; Terminology; Web services;
Conference_Titel :
OCEANS 2008
Conference_Location :
Quebec City, QC
Print_ISBN :
978-1-4244-2619-5
Electronic_ISBN :
978-1-4244-2620-1
DOI :
10.1109/OCEANS.2008.5151816