Semantic-Based Search Engine System for Graph Images in Academic Literature

摘要

In this study, we proposed an ontology-based search engine system that was applied to our constructed ontology with information from graphs in academic literature. The main objectives of this work were to utilize the ontology and to demonstrate the results generated from user queries. This proposed system is useful for students and researchers because the data that is used in our search engine system are graph images collected from academic literature. Thus, using the unique abilities of ontology, users will obtain new knowledge that is extracted from both graphical and textual information. The system was evaluated using four simulations that were related to four different issues. A high average F-measure was obtained; therefore, it can be deduced that the performance of the system is effective. We determined that this system can provide precise information from queries to the ontology because the ontology is highly applicable to this search engine system.