Abstract

One of the most highly valued resources for storing all of humanity's knowledge is a digital resource object (DRO). These days, a lot of organizations work to make this information accessible to people. However, the non-expert user typically expresses his requirement in a brief and frequently imprecise query that is sent to DROs. To precisely define what the user needs in DROs is insufficient. The users typically have little knowledge of the specific domain area's terminology, which is why brief user queries were created. The user's query may not contain the formative terms, which results in inadequate coverage of pertinent documents, by enhancing the possible semantically added terms' quality to the entire query terms in order to improve DRO retrieval performance, the semantic query expansion method (SQE) is presented to bridge the gap between the user's query and DROs. The proposed SQE approach consists of three steps: the defining of the query terms, the production of the candidate terms, and the suggested correlation algorithm. The correlation algorithm's goal is to extract semantic terms so that only related terms can be used to extend the query. Experimental findings on the CHiC2013 and ECHiC2013_EDE collections demonstrate that the suggested method can perform more effective than state-of-the-art conventional approaches, especially in DROs