Extenics-based Ontology Merging of Hierarchical Information Modeling for Distributed Management
نویسندگان
چکیده
In order to provide a highly formalized ontology merging of hierarchical information modeling for distributed management, the Extenics-based approach is introduced to formalize ontology merging of both Management Information Base (MIB) models and MIB instances. The aim of this paper is then to utilize ontology merging at the meta-schema level based on concept lattices to generate semantic models for ontology merging of MIB models using basic-elements in the form of matter-elements, and realize the formal presentation of both MIB instances for ontology merging and implicit knowledge for MIB instances with the use of the extension theory for basic-elements. The proposed Extenics-based ontology merging approach for both MIB models and MIB instances integrates with the former approach for meta-schema based on concept lattices, and aims to promote the formalization level of hierarchical information modeling for distributed management in a unified ontologydriven manner.
منابع مشابه
Developing a BIM-based Spatial Ontology for Semantic Querying of 3D Property Information
With the growing dominance of complex and multi-level urban structures, current cadastral systems, which are often developed based on 2D representations, are not capable of providing unambiguous spatial information about urban properties. Therefore, the concept of 3D cadastre is proposed to support 3D digital representation of land and properties and facilitate the communication of legal owners...
متن کاملAutomatic Ontology Merging by Hierarchical Clustering and Inference Mechanisms
One of the core challenges for current landscape of ontology based research is to develop efficient ontology merging algorithms which can resolve the mismatches with no or minimum human intervention, and generate automatic global merged ontology on-the-fly to fulfil the needs of automated enterprise business applications and mediation based data warehousing. This paper presents our approach of ...
متن کاملExtension Information-Knowledge-Strategy System for Semantic Interoperability
This paper discusses the issue of information interoperability. In view of the problems that it is difficult to solve the semantic conflicts in information interoperability, the paper shows how to build the extension ontology model for information interoperability based on Extenics information-knowledge-Strategy system. Take advantage of Extenics’ feature of contradiction problem solving, the e...
متن کاملContext-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network
Context-aware systems must be interoperable and work across different platforms at any time and in any place. Context data collected from wireless body area networks (WBAN) may be heterogeneous and imperfect, which makes their design and implementation difficult. In this research, we introduce a model which takes the dynamic nature of a context-aware system into consideration. This model is con...
متن کاملTowards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling
Decision support systems based on computerized Clinical Protocols (CP) and Clinical Practice Guidelines (CPG) fall short when dealing with patient co-morbidites, as this demands the concurrent merging of multiple CP/CPG. We present an ontology-based approach for the merging of CPG and CP at two levels–i.e. knowledge modeling level and knowledge execution level. We have developed specialized ont...
متن کامل