scholarly journals CDM-Core: A Manufacturing Domain Ontology in OWL2 for Production and Maintenance

2016 ◽  
Author(s):  
Luca Mazzola ◽  
Patrick Kapahnke ◽  
Marko Vujic ◽  
Matthias Klusch
Keyword(s):  
Domain Ontology

Automatic Generation of MCQS from Domain Ontology- A Survey

2018 ◽  
Vol 06 (06) ◽  
pp. 99-102
Author(s):  
Sahana Serin V. P. ◽  
Viji Rajendran V.
Keyword(s):  
Automatic Generation ◽  
Domain Ontology

The Method of Power Domain Ontology Construction and Reasoning based on Power Business Platform

2020 ◽  
Vol 9 (2) ◽  
pp. 51-62
Author(s):  
Taekeun Hong ◽  
Kyungho Yu ◽  
Pankoo Kim
Keyword(s):  
Domain Ontology ◽  
Ontology Construction ◽  
Power Domain

A Methodical Text Mining on a Rationale of Domain Ontology

2019 ◽  
Author(s):  
Bhavan Kumar B ◽  
Vishal B L S R K ◽  
Bhargav K.R. ◽  
Revanth V ◽  
Chintakani Sai Gireesh
Keyword(s):  
Text Mining ◽  
Domain Ontology

The use of a Domain Ontology for the Management of Essential Hypertension (Preprint)

2020 ◽  
Author(s):  
Emma Chavez ◽  
Vanessa Perez ◽  
Angélica Urrutia
Keyword(s):  
Decision Making ◽  
Essential Hypertension ◽  
Medical History ◽  
Medical Records ◽  
Medical Training ◽  
Relevant Information ◽  
Domain Ontology ◽  
Free Text ◽  
Snomed Ct ◽  
History Of

BACKGROUND : Currently, hypertension is one of the diseases with greater risk of mortality in the world. Particularly in Chile, 90% of the population with this disease has idiopathic or essential hypertension. Essential hypertension is characterized by high blood pressure rates and it´s cause is unknown, which means that every patient might requires a different treatment, depending on their history and symptoms. Different data, such as history, symptoms, exams, etc., are generated for each patient suffering from the disease. This data is presented in the patient’s medical record, in no order, making it difficult to search for relevant information. Therefore, there is a need for a common, unified vocabulary of the terms that adequately represent the diseased, making searching within the domain more effective. OBJECTIVE The objective of this study is to develop a domain ontology for essential hypertension , therefore arranging the more significant data within the domain as tool for medical training or to support physicians’ decision making will be provided. METHODS The terms used for the ontology were extracted from the medical history of de-identified medical records, of patients with essential hypertension. The Snomed-CT’ collection of medical terms, and clinical guidelines to control the disease were also used. Methontology was used for the design, classes definition and their hierarchy, as well as relationships between concepts and instances. Three criteria were used to validate the ontology, which also helped to measure its quality. Tests were run with a dataset to verify that the tool was created according to the requirements. RESULTS An ontology of 310 instances classified into 37 classes was developed. From these, 4 super classes and 30 relationships were obtained. In the dataset tests, 100% correct and coherent answers were obtained for quality tests (3). CONCLUSIONS The development of this ontology provides a tool for physicians, specialists, and students, among others, that can be incorporated into clinical systems to support decision making regarding essential hypertension. Nevertheless, more instances should be incorporated into the ontology by carrying out further searched in the medical history or free text sections of the medical records of patients with this disease.

scholarly journals Domain ontology of social sustainable development

2021 ◽  
Author(s):  
Adelina Ivanova ◽  
Boryana Deliyska ◽  
Vladislav Todorov
Keyword(s):  
Sustainable Development ◽  
Domain Ontology

Research on Knowledge Discovery and Stock Forecasting of Financial News Based on Domain Ontology

2019 ◽  
Vol 18 (03) ◽  
pp. 953-979 ◽  
Author(s):  
Lingling Zhang ◽  
Minghui Zhao ◽  
Zili Feng
Keyword(s):  
Knowledge Acquisition ◽  
Knowledge Discovery ◽  
Tacit Knowledge ◽  
Explicit Knowledge ◽  
Academic Research ◽  
Online News ◽  
Domain Ontology ◽  
General Mechanism ◽  
Financial News ◽  
Knowledge Reasoning

In the era of big data, how to obtain useful knowledge from online news and utilize it as an important basis to make investment decision has become the hotspot of industrial and academic research. At present, there have been research and practice on explicit knowledge acquisition from news, but tacit knowledge acquisition is still under exploration. Based on the general mechanism of domain knowledge, knowledge reasoning, and knowledge discovery, this paper constructs a framework for discovering tacit knowledge from news and applying the knowledge to stock forecasting. The concrete work is as follows: First, according to the characteristics of financial field and the conceptual cube, the conceptual structure of industry–company–product is constructed, and the framework of domain ontology is put forward. Second, with the construction of financial field ontology, the financial news knowledge management framework is proposed. Besides, with the application of attributes in ontology and domain rules extracted from news text, the knowledge reasoning mechanism of financial news is constructed to achieve financial news knowledge discovery. Finally, news knowledge that reflects important information about stock changes is integrated into the traditional stock price forecasting model and the newly proposed model performs well in the empirical analysis of polyester industry.

Ontology Construction Research for the Mobile Phones' Reviews on the Internet

2014 ◽  
Vol 602-605 ◽  
pp. 3363-3366
Author(s):  
Yi Ming Sun ◽  
Chun Lei Han
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
Semantic Information ◽  
Domain Ontology ◽  
University Research ◽  
New Method ◽  
The Internet ◽  
Stanford University ◽  
Information Mining ◽  
Ontology Construction

In order to automatically identify the mobile phones' reviews that the users comment on the mobile phone on the internet and obtain valuable information from the reviews, this paper presents the process of constructing ontology for the mobile phones' reviews and preliminarily establish a domain ontology of the mobile phones' reviews. The ontology construction adopts the Protégé tool and the Seven Steps method of Stanford University research. The ontology can provide convenience for the semantic information mining on Web mobile phones' reviews, and it can provide a new method to effectively mine the use feelings of the phone from a large number of mobile phone users' reviews.

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