MULTISITE SOFTWARE DEVELOPMENT WITH ONTOLOGY: A REVIEW

Abstract

Ontology is an important concept of software engineering. It formally expresses knowledge in a way that software can handle knowledge and effectiveness. The software engineering ontology supports the definition of information exchange semantic project the information framework. In this review, we analyze what the software engineering ontology is, its issues and problems, and how to interpret them. The usage scenario used in this review emphasizes the characteristics of software engineering ontology. The software engineering ontology helps define the information for exchanging semantic item information and serves as a communication framework. The end user in a software engineer who shares domain knowledge and knowledge of software engineering examples.

Authors and Affiliations

Keywords

Related Articles

AN EFFICIENT ROUND ROBIN ALGORITHM USING IMPROVED TIME QUANTUM

Round Robin Algorithm is a scheduling algorithm in Operating system, used for multitasking systems. In RR algorithm, all the process having same priority and a time quantum after that process is prevented. It executes in...

AN APPROACH TO CONSTRUCT MDRT TO PRODUCE QUALITATIVE RATINGS FOR E-COMMERCE WEBSITES

Online surveys, customer reviews on shopping sites are the key sources to understand customer requirements and feedback to help upgrade the product quality and achieve greater outcomes. In our previous paper, we targeted...

ENHANCED K STRANGE POINTS CLUSTERING USING BAT INSPIRED ALGORITHM

One of the major techniques for data analysis is Clustering in data mining . In this paper, a partitioning clustering method called the Enhanced K Strange Points Clustering algorithm (EKSPA) is used with Bat algorithm. T...

Local Binary Patterns Based Detection of Rust Disease of Lentils (Lens culinaris) Using k-NN Classification System

This research paper reported the role of k-Nearest Neighbor (k-NN) classifier for detection and classification of rust disease of Lens culinaris at microscopic level, which is a very initial stage of disease i.e. haustor...

DETECTION OF BRAIN TUMOR USING ENHANCED K-STRANGE POINTS CLUSTERING AND MORPHOLOGICAL FILTERING

Image processing has become an emerging area of endless possibilities to explore and advances in this domain are gaining momentum. A brain tumor is an abnormal growth, which is caused due to cells reproducing themselves...

Download PDF file
  • EP ID EP376952
  • DOI -
  • Views 100
  • Downloads 0

How To Cite

(2018). MULTISITE SOFTWARE DEVELOPMENT WITH ONTOLOGY: A REVIEW. International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR), 8(3), 31-36. https://europub.co.uk/articles/-A-376952