Semi-automatic Construction of Ontology-based CBR System for Knowledge Integration
نویسندگان
چکیده
In order to integrate knowledge in heterogeneous case-based reasoning (CBR) systems, ontology-based CBR system has become a hot topic. To solve the facing problems of ontology-based CBR system, for example, its architecture is nonstandard, reusing knowledge in legacy CBR is deficient, ontology construction is difficult, etc, we propose a novel approach for semi-automatically construct ontology-based CBR system whose architecture is based on two-layer ontology. Domain knowledge implied in legacy case bases can be mapped from relational database schema and knowledge items to relevant OWL local ontology automatically by a mapping algorithm with low time-complexity. By concept clustering based on formal concept analysis, computing concept equation measure and concept inclusion measure, some suggestions about enriching or amending concept hierarchy of OWL local ontologies are made automatically that can aid designers to achieve semi-automatic construction of OWL domain ontology. Validation of the approach is done by an application example. Keywords—OWL ontology, Case-based Reasoning, Formal Concept Analysis, Knowledge Integration
منابع مشابه
Automatic Interpretation of UltraCam Imagery by Combination of Support Vector Machine and Knowledge-based Systems
With the development of digital sensors, an increasing number of high-resolution images are available. Interpretation of these images is not possible manually, which necessitates seeking for practical, fast and automatic solutions to solve the environmental and location-based management problems. The land cover classification using high-resolution imagery is a difficult process because of the c...
متن کاملSemi-automatic generation of ontologies for knowledge-intensive CBR
This work examines how automatic generation of general domain knowledge from text can contribute to the knowledge intensive Case-Based Reasoning (CBR) system, Creek. This will be done by combining Creek with the ontology extraction tool CORPORUM to improve Creek’s ability to retrieve text. The ontology extraction tool is part of an architectural framework that is described. The framework descri...
متن کاملPattern-based Ontology Construction
Large and complex enterprise systems face the same kind of information processing problems that exist on the web in general, and constructing an ontology is a crucial part of many solutions. Construction of enterprise ontologies needs to be at least semi-automatic in order to reduce the effort required, and another important issue is to introduce further knowledge reuse in the process. In order...
متن کاملA Case based Reasoning System based on Domain Ontology for Fault Diagnosis of Steam Turbines
Industrial diagnosis is a domain where problems are recurrent and therefore previous documented solution can be successfully reused. Different methodologies may be implemented for a given diagnosis domain, one of the appropriate, appears to be Case-Based Reasoning (CBR). A CBR system is a combination of processes and knowledge called “knowledge containers“, that allows to preserve and to exploi...
متن کاملSemi-automatic Ontology Engineering Using Patterns
Many enterprise systems face the same kind of information processing problems that exist on the web in general, and creating semantic solutions often involve constructing an enterprise ontology. Ontology engineering in turn needs to be semi-automatic in order to reduce the effort and need for expertise. By introducing knowledge reuse in ontology construction the construction effort can be furth...
متن کامل