The Semantic Retrieval System for Learning Resources Based on Subject Knowledge Ontology

Abstract

There are many kinds of learning resources in the online education platform, but there are still many problems, such as learning resources are difficult to retrieve, search results are redundant, and can only be retrieved by keywords, but lack of semantic support. This paper integrated semantic web into the retrieval of learning resources, and designed the subject knowledge ontology as the knowledge description of learning resources semantic retrieval system, and implemented the semantic retrieval of learning resources through ontology concept similarity analysis, ontology reasoning and ontology in computing and other sectors, to reduce the redundancy of information retrieval results and realize the display of high related resources.

Towards Ontology Based Data Extraction for Organizational Goals Metrics Indicator

“…Most of the recent studies focus on the development of systems ontologies and enterprise ontologies [ 12 , 13 ]. However, not many studies have been conducted on organizational goals developed an organizational ontology but this study discussed the development of knowledge mapping based on ontology.…”

“…Organizational goals ontology focus on the usage of organizational data instead of knowledge, information or tools because organizational data is a major resource in every organization and it is important to evaluate the relevance of this organizational data in achieving the organizational goals. We also suggest organizational data is important as information and knowledge to assist the decision-making process [ 11 – 13 ]. In an organization, it is extremely important for the manager to have access to the most relevant organizational data in relation to the organizational goals.…”

An ontology-improved vector space model for semantic retrieval

“…It first used the pseudo relevance feedback method to expand a EL 38,5/6 query, and then presented a latent semantic relevance model to identify semantic association patterns to improve the retrieval performance with structured knowledge bases. Wu (2018) designed the semantic retrieval system of learning resources through ontology concept similarity analysis and ontology reasoning. It was able to realize the display of highly related resources.…”