Editorial

摘要

We are pleased to bring the third issue of the seventeenth volume of the Journal of Digital Information Management with the below described research. This issue is characterized by the following papers. In the opening paper on "Knowledge-Intensive Decision Support System for Manufacturing Equipment Maintenance" described the design and development of a Knowledge-Intensive Decision Support System (KI-DSS) for Manufacturing Equipment Maintenance in industrial plants. It will enable to support better maintenance decision and improve maintenance efficiency. The integration of case-based Reasoning and ontology, the Ki-DSS help to carry out the data matching retrieval and performed semantic associated data access which is important for intelligent knowledge retrieval in decision support system. In the next paper on "A Graph-Based Approach for Aspect Extraction from Online Customer Reviews" the authors Rakesh Kumar and Aditi Sharan proposed automatic analytics tool for the review sentences so as to extract semantics from reviews. In this work they presented a new kind of product aspect extraction approach which utilized a graph-based technique with the integration of statistical and semantic information. The analysis of experimental results shown that the proposed approach is efficient and effective in comparison to the state of art methods.