WebOntology-Based, Multi-Label Text Classification for Enhanced Information Retrieval for Supporting Automated Environmental Compliance Checking. Full Text HTML; Details; Figures; ... Our results show that our ontology-based approach achieves 96.62% and 96.34% recall and precision, respectively, thereby outperforming the ML-based approach. Web1 de abr. de 2024 · Any information retrieval aims to retrieve relevant documents based on query search. This paper presents ontology-based information retrieval techniques. Two main techniques of...
Ontology-based Information Retrieval - ResearchGate
Webby information retrieval systems and text understanding systems. 1.2 Ontology-Based Information Extraction Ontology-Based Information Extraction (OBIE) has recently emerged as a subfleld of Information Extraction. Here, ontologies are used by the information extraction process and the output is generally presented through an ontology. WebThis paper reports on how ontologies developed in the EU Semantic Web project SPIRIT are used to support retrieval of documents that are considered to be spatially relevant to … redback it solutions vellore
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Web1 de fev. de 2024 · As a solution to this issue, a novel machine learning and ontology-based semantic document indexing (MLOntoSDI) approach for information retrieval is proposed in this paper. The proposed indexing approach is intended for unstructured text documents of domain-specific datasets, particularly scientific literature in the field of … WebThe algorithm operates based on a basic premise regarding the notion of document relevance. The three most common models, which form the basis for other information … Web14 de fev. de 2008 · Current information retrieval approaches based on statistical methods and keyword matching do not satisfy users’ needs in the engineering domain. Therefore, we propose a new computational framework that includes an ontological basis and algorithms to retrieve unstructured engineering documents while handling complex … know some young like to swang