A Study of Various Approaches and Tools on Ontology

Mishra, Sanju; Jain, Sarika

doi:10.1109/cict.2015.43

Cited by 19 publications

(5 citation statements)

References 7 publications

(5 reference statements)

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“…2. Los conceptos son ideas abstractas que se formulan de un dominio o fenómeno (Mishra & Jain, 2015)and hence not machine process able, but its only in human readable form. The WWW is designed to builds up a source of reference for web of meaning.…”

Section: Aprendizaje Ontológicomentioning

confidence: 99%

Apropiación social del conocimiento investigación, innovación y extensión

Mejía¹,

Suta²,

Arango³

et al. 2021

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Section: Aprendizaje Ontológicomentioning

confidence: 99%

Apropiación social del conocimiento investigación, innovación y extensión

Mejía¹,

Suta²,

Arango³

et al. 2021

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“…The algorithm made by the researcher gives optimized results on the demand rates. Mishra, S., & Jain, S. (2015) explained about the concept of ontology. The main concentration was the semantic web (SW) formulation which is the part of www.…”

Section: Challenges: State Of the Art And Open Issuesmentioning

confidence: 99%

“…These OA can communicate with the providers. These OA are performing many work like Creation and update of ontology, supporting the FIPA agents in finding the shared ontology, translating the functions and expressions, responding the questions asked by the agents, searching the public and private ontology's of different domains (Mishra, S., & Jain, S., 2015).…”

Section: Global Cloud Exchanges and Marketsmentioning

confidence: 99%

Occ

Tiwari

Sharma

2021

International Journal of Web-Based Learning and Teaching Technologies

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In the recent trends, cloud computing service users agreed on the concept of pay and use model by accessing all the best services provided by the providers. The major problem here is that there is no standardization so that not everyone coming into the same platform. Now cloud computing efficiently uses time, cost, and effort. In this internet, speed is playing an important role. With the development of each and every field with its proper limitations, the researchers come into the picture that the ontology concept is playing a vital role in the field of computing. The key role of ontology is supporting the knowledge sharing activities. It is giving the set of criteria to prove the use of ontology in the computing world. In the design and development of ontology for computing and mathematics, the information from data centers is very important. The selected design and decisions give efficient and effective results to prove how ontology is playing a vital role in the computing system.

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“…The interpretation rules for knowledge representation and information gathering and axioms that produce new definitions through reasoning engines is an essential component of ontologies. According to W3C (World Wide Web Consortium) "Ontologies define the terms used to describe and represent an area of Knowledge" [5]. Zouaq defend the components of an ontology by the following tuple: O = < C, H, R, A > where O represents ontology, C represents a set of classes (concepts), H represents a set of hierarchical links between the concepts (taxonomic relations), R represents the set of conceptual links (non-taxonomic relations), and A represents the set of rules and axioms [6].…”

Section: Related Workmentioning

confidence: 99%

An Ontology-based Name Entity Recognition NER and NLP Systems in Arabic Storytelling

Elgamal

Abou-Kreisha

Elezz

et al. 2020

Al-Azhar Bulletin of Science

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Ontology is a descriptive model representing domain knowledge with robust specifications that solve interoperability between humans and machines. In this work, a practical methodology presented for Arabic Storytelling ontology construction for domain ontology extraction from unstructured Arabic story documents. However, the manual construction of ontologies is a time-consuming and challenging process. Still, ontology construction and learning, which extracts ontological knowledge from various data types automatically or semiautomatically, can overcome the bottleneck of knowledge acquisition. This paper intends to investigate the problem of automatically construct and build an Arabic storytelling ontology based on Arabic named entity recognition (NER) from unstructured story text. This paper presents a system designed based on Machine Learning (ML) approach. The system framework is a combination of five main stages: The first stage determines the requirement analysis-second document pre-processing using NLP tasks. The third is Conceptualization. The fourth stage is formal design and construction, and the final step is evaluation.

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A Study of Various Approaches and Tools on Ontology

Cited by 19 publications

References 7 publications

Apropiación social del conocimiento investigación, innovación y extensión

Apropiación social del conocimiento investigación, innovación y extensión

Occ

An Ontology-based Name Entity Recognition NER and NLP Systems in Arabic Storytelling

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