Papers by Author: Ji Ke Ge

Abstract: This paper proposes a QoS prediction approach used to recommend web service to solve the problem of choosing high quality web service. This approach bases on other users’ experience. According to the different feeling of different user to the same service, and the different similarity among the QoS of different services, the approach first divides the users and services into several modes, and then computes the means of one mode to predict the QoS of a service that the user never used before. Experiment simulation show that the approach is operable to some extent.

Abstract: Volumes of petroleum resources data are archived in different companies. Complex geospatial heterogeneous data structures complicate the accessibility and presentation of data in petroleum industries. Objectives of the current research are to integrate the data from different sources and connect them intelligently and semantically. Petroleum exploration databases provide a central focus for scientific communities as well as providing useful resources to aide research. However, such resources require constant curation and often become outdated and discontinued. In this research work, we develop an ontology-based system for managing petroleum exploration data that addresses the issues of data integration and information sharing. Ontology approach ensures petroleum data validity that will support petroleum knowledge discovery process.