Ontology based information retrieval
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 … WebIn computer science and information science, an ontology encompasses a representation, formal naming, and definition of the categories, properties, and relations between the concepts, data, and entities that substantiate one, many, or all domains of discourse.More simply, an ontology is a way of showing the properties of a subject area and how they …
Ontology based information retrieval
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WebAbstract. The so-called Semantic Web advocates the future availability of machine-understandable metadata, describing Web resources by means of ontologies expressed … Web8 de abr. de 2024 · Consequently, this research adopted the hybridized six steps iterative ontology design process shown in Fig. 1. The steps are collection of domain knowledge, terms specification of ontology,...
Web1 de jan. de 2014 · Zhu et al. (2012) propose a knowledge-representation model in the form of an ontology to reuse knowledge in maintenance, repair, and overhaul (MRO). Akmal … Web13 de mar. de 2024 · Dibley studied the ontology framework for sensor-based building monitoring. In 2016, Zhou and El-Gohary developed an ontology-based text …
Web25 de jan. de 2012 · Results: This paper describes an information retrieval system that relies on domain ontology to widen the set of relevant documents that is retrieved and … Web6 de jun. de 2008 · In order to solve the problem of information overkill, current information retrieval systems need to be improved. Much more ldquointelligencerdquo …
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 mai. de 2024 · Section 2 analyzes Legal Information Retrieval (LIR) systems by investigating main concepts, principles and tasks while Section 3 classifies them in … ira meister matthew adamWeb14 de fev. de 2024 · Ontology-based information retrieval is described as a reliable approach that is capable of improving returns from sematic documents [].Besides the … ira member thomas mcmahonWebOntology-based Information Retrieval Henrik Bulskov Styltsvig A dissertation Presented to the Faculties of Roskilde University in Partial Fulflllment of the Requirement for the Degree of Doctor of Philosophy Computer Science Section Roskilde University, Denmark May 2006. ii. Abstract ira middleswarth and son inc harrisburg paWeb26 de dez. de 2006 · Semantic search has been one of the motivations of the semantic Web since it was envisioned. We propose a model for the exploitation of ontology-based knowledge bases to improve search over large document repositories. In our view of information retrieval on the semantic Web, a search engine returns documents rather … orchids perennialsWeb1 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 … orchids parasiticWeb1 de fev. de 2024 · An information retrieval system not only occupies an important position in the network information platform, but also plays an important role in information … orchids paper pryor okWeb18 de mai. de 2005 · Our approach includes an ontology-based scheme for the semi-automatic annotation of documents, and a retrieval system. The retrieval model is based on an adaptation of the classic... ira min withdrawal rules