郭展宏

As the amount of electronic data is increasing, it is getting harder to search information effectively. Contemporary information retrieval systems do help users to obtain required information, however, the effectiveness and precision of information retrieval may remarkably decrease especially when the users are layman of a targeted domain. This thesis proposed a Concept-based Information Retrieval Mechanism (CBIR) to help users retrieve information fulfilling their information needs through interactive information requirement analysis. The information requirement analysis process helps users organize concepts, which are gradually transferred into a concept map used for information retrieval. Experimental results showed that proposed Concept-based Information Retrieval Mechanism is more effective than traditional information retrieval mechanism (Vector Space Model). The research result may be used for user concept organization to efficiently obtain required information as well as enhance information retrieval precision.