{'fraction_non_alphanumeric': 0.01430615164520744, 'fraction_numerical': 0.0, 'mean_word_length': 5.666666666666667, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Ontology Based Domain Resource Semantic Retrieval Model

Retrieval technology has been widely used, but most of the current retrieval models are based on the logic matching of characters without considering users query requirements and objectives in semantic level, which makes the retrieval results deviate from the retrieval intention of users. Based on the knowledge organization ontology, a semantic retrieval model is proposed. The proposed model abstracts semantic vectors in the form of concept and attributes, and establishes formulas for semantic matching. Based on the proposed model, experiments are performed, and the feasibility and effectiveness are proved by the experimental results.