Semantic search with rule reasoning for scholarship information search

Tendency to pursue graduate study has become a positive trend in Indonesia. This is supported by the growing number of agency or institution that organizes a postgraduate scholarship program with a wide range of requirements. Generally, finding information through the Internet is done by a keyword-based search engine which possibly gives several irrelevant results and relies on user's ability in selecting keywords. This research aims to provide an alternative by building semantic search system for finding scholarship information that allows natural language sentence instead of keywords. It implements rule reasoning to obtain implicit knowledge by defining the rules from basic knowledge that explicitly defined. Among the rules that are used in this system, data range restriction is used to determine data based on certain thresholds. The experiment results show that the system has recall rate 98.51% and precision rate 100% from 90 of 105 input sentences that are able to be processed by the system.