Ontology based information retrieval

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August undefined, 2024

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 classification algorithm to improve classification performance using the semantics of text. Then in 2024, Zhou and El-Gohary developed an ontology-based information extraction algorithm. 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 …

Ontology-based semantic retrieval of documents using Word2vec …

Web18 de out. de 2024 · Experienced Assistant Professor with a demonstrated history of working in the higher education industry, participation in international projects and over 50 publications. Principal Investigator of European and French ANR projects. Skilled in Computational Linguistics, Natural Language Processing, Information Retrieval and … WebOntology has been employed in various information re- • Exactly understand documents’ meanings: Ontology al- trieval projects for different purposes, some of which are lows for the semantic understanding of … greatlearning sirharryszomba.com

Developing Engineering Ontology for Information Retrieval

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 … Web19 de mar. de 2007 · An experiment to test the retrieval performance is conducted by using the design documents from a product design scenario. The results demonstrate that our … Web18 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... greatland inc limited tsim sha tsui

An Ontology-Based Information Retrieval System

An Ontology-Based Information Retrieval Model for

Web1 de jul. de 2024 · 3. Ontology-based information retrieval. This section reviews the state of the art in ontology-based database information retrieval. Here, a historical overview … Web26 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 … greatest sniper shotsWeb1 de abr. de 2024 · A context-driven risk ontology, which functions as a knowledge base for the storage, reuse, sharing, and recall of risk information, was built from historical project data and was validated by a group of subject matter experts. Once validated and verified, the model was used to develop a context-driven risk identification ontology. greatland company pte ltd

"Web15 de fev. de 2024 · In this section we present our general framework for ontology-based information retrieval. Our aim is to offer the possibility of incorporating ontological information of various types into the approach described in Sect. 2. 3.1 Formalisation of … " - Ontology based information retrieval

Ontology based information retrieval

Intelligent ontology based semantic information retrieval …

WebAbstract. The so-called Semantic Web advocates the future availability of machine-understandable metadata, describing Web resources by means of ontologies expressed … 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 …

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WebOntology-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 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 …

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. WebOntology-Based Information Retrieval for Healthcare Systems Edited by Vishal Jain Bharati Vidyapeeth,s Institute of Computer Applications and Management (BVICAM), …

Web1 de mar. de 2008 · Personalized information retrieval based on context and ontological knowledge Published online by Cambridge University Press: 01 March 2008 PH. MYLONAS, D. VALLET, P. CASTELLS, M. FERNÁNDEZ and Y. AVRITHIS Show author details PH. MYLONAS Affiliation: Web30 de jul. de 2004 · In the proposed article a new, ontology-based approach to information retrieval (IR) is presented. The system is based on a domain knowledge …

Web1 de abr. de 2024 · Ontology-based query expansion models are of three types - Manual query expansion, User assistance based and Automatic methods. Ontology-based QE …

Web14 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 … greatstockpicks twitterWeb5 de set. de 2003 · Abstract: This paper describes an ontology-based approach for building an enterprise knowledge portal that integrates OLAP and information retrieval functionality to access both structured data stored in a data warehouse and unstructured data in form of documents. We discuss how to perform global searches over these information … greathouse chiropracticWeb28 de mai. de 2024 · An information retrieval (IR) system must exploit the semantic knowledge embodied in web resources. Several attempts were made by researchers to make retrieval systems capable of utilizing... greatness revolves around youWeb1 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 … greatscottford twitterWeb5 de dez. de 2024 · Computer-based natural language understanding of input and output for a computer interlocutor is improved using a method of classifying conversation segments from transcribed conversations. The improvement includes one or more methods of splitting transcribed conversations into groups related to a conversation ontology using … greaves phosphineWebOntology-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. greatness has been found nike shirtWebThe ontology was developed based on the ILAE classification of epilepsy as well as by integrating already existing epilepsy-related ontologies such as those developed according to BFO 2.0 classes and OBO ... and preclinical disease models comprise the nonclinical epilepsy information in the ontology. For retrieval of contextual ... greaves cotton asn