JOURNAL ARTICLE

Object-oriented and ontology context-aware modeling based on XML

Abstract

In order to solve the problem of providing service to users by using context-aware modeling in pervasive computing, this paper proposes a context-aware modeling method named of object-oriented and ontology modeling based on XML. Firstly, the most used type of context information is summarized and the difference between them is analyzed; secondly, the latest context-aware modeling technique is introduced, as well as their advantages and disadvantages, and then this paper proposes an improved model and software modeling framework; lastly, this improved model is verified by using different sizes of context data and compared with other context-aware modeling experiment, and the experiment result shows that this improved modeling method could provide excellent performance for model-building and query in context-aware system.

Keywords:
Computer science Ontology Context model XML Context (archaeology) Data modeling Database Unified Modeling Language Information retrieval Object (grammar) Software engineering Data mining Software World Wide Web Artificial intelligence Programming language

Metrics

4
Cited By
0.83
FWCI (Field Weighted Citation Impact)
19
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems

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