摘要:
The present invention is directed to reconciliation/reengineering of mappings in dynamic/evolving ontologies. Mappings are established among different ontologies for resolving the terminological and conceptual incompatibilities and support information exchange. As ontology evolves from one consistent state to another consistent state; this consequently makes the existing mappings of the domain ontology with other ontologies unreliable and staled, so mapping evolution is required. The present invention uses Change History Log of ontology changes to drastically reduce the time required for (re)establishing mappings among ontologies, achieving higher accuracy, and eliminating staleness in mappings. It is valid for more than two ontologies with local, centralized, and distributed Change History Log.
摘要:
Provided is a data processing method for clinical decision support system. The data processing method provides an algorithm capable of performing parsing based on an Ontology technique and automatically updating rule database in order to reduce time and labor overloads accompanied by update of the rule database. According to an aspect, the data processing method includes inferring input data having a natural language format based on an Ontology technique to recognize at least one input rule included in the input data; inferring storage data having a natural language format and stored in rule database based on the Ontology technique to recognize at least one storage rule associated with the input rule from the storage data; comparing the input rule to the storage rule using a Self Evolutionary Rule-base algorithm; and updating the storage data stored in the rule database to the input data according to the result of the comparison.
摘要:
Provided is a data processing method for clinical decision support system. The data processing method provides an algorithm capable of performing parsing based on an Ontology technique and automatically updating rule database in order to reduce time and labor overloads accompanied by update of the rule database. According to an aspect, the data processing method includes inferring input data having a natural language format based on an Ontology technique to recognize at least one input rule included in the input data; inferring storage data having a natural language format and stored in rule database based on the Ontology technique to recognize at least one storage rule associated with the input rule from the storage data; comparing the input rule to the storage rule using a Self Evolutionary Rule-base algorithm; and updating the storage data stored in the rule database to the input data according to the result of the comparison.