Agent-based Information Retrieval and Search Engine

Although Web users enjoy freedom of accessing information, they also face the challenge of retrieving, filtering and monitoring the ever-increasing and ever-changing information perhaps of astronomical magnitude. Professor Sim's work on agent-based information retrieval involves designing and developing software agents for 1) browsing and filtering information in multiple websites, 2) monitoring information in multiple websites, and 3) comparing product prices from multiple websites. 

The problem in Cloud service discovery is to run a query against the Cloud services registered in a search engine's database by matching consumers' functional, technical, and budgetary requirements. Professor Sim's research laboratory developed the first ever proof-of-concept prototype of a Cloud service search engine consisting of a service discovery agent that consults a Cloud ontology for determining the similarities between providers' service specifications and consumers' service requirements.

Awards

1. Best Student Paper Award. 2014 IAENG International Conference on Internet Computing and Web Services. Paper title: "CB-Cloudle: A Centroid-based Cloud Service Search Engine"

2. Best Student Paper Award. 2010 IAENG International Conference on Internet Computing and Web Services. Paper title: "An Ontology-enhanced Cloud Service Discovery System"

3. Certificate of Merit. 2009 IAENG International Conference on Internet Computing and Web Services. Paper title: "An Enhanced Holistic Information Retrieval System"

Publications

Click here to view Professor Sim's selected papers on agent-based information retrieval and search engine.