International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

ISSN: 2319-7064




Downloads: 119

Review Papers | Computer Science & Engineering | India | Volume 4 Issue 5, May 2015


An Ontology-Based Text Mining Method to Develop D-Matrix

Poonam Jagdale | Devendra P Gadekar [3]


Abstract: In this point, we demonstrate an ontology based text mining method for naturally developing and updating a D-matrix by mining a huge number of repair verbatim (written in unstructured text) gathered during the analysis scenes. Fault dependency (D) -matrix is a systematic demonstrative model [8] which is used to catch the progressive system level deficiency symptomatic data comprising of dependencies between observable symptoms and failure modes connected with a framework. D- Matrix is a time consuming process. Developing a D-matrix from first standards and updating it utilizing the domain information is a work concentrated. Further, in-time increase of D-matrix through the disclosure of new symptoms and failure modes watched for the first run is a challenging task. In this methodology, we first develop the fault diagnosis ontology comprising of concepts and relationships regularly saw in the fault diagnosis domain. Next, we utilize the text mining algorithm that make utilization of this ontology to distinguish the fundamental artifacts, for example, parts, symptoms, failures modes, and their conditions from the unstructured repair verbatim text. The proposed technique is implements as a prototype tool and accepted by utilizing real - life information gathered from the automobiles space


Keywords: Data Mining, fault analysis, fault diagnosis, information retrieval, text processing


Edition: Volume 4 Issue 5, May 2015,


Pages: 2373 - 2376


How to Cite this Article?

Poonam Jagdale, Devendra P Gadekar, "An Ontology-Based Text Mining Method to Develop D-Matrix", International Journal of Science and Research (IJSR), Volume 4 Issue 5, May 2015, pp. 2373-2376, https://www.ijsr.net/get_abstract.php?paper_id=SUB154797

How to Share this Article?

Enter Your Email Address




Similar Articles with Keyword 'Data Mining'

Downloads: 0

Survey Paper, Computer Science & Engineering, India, Volume 11 Issue 8, August 2022

Pages: 947 - 949

COVID-19 Prediction using Machine Learning Algorithms

Saily Suresh Patil

Share this Article

Downloads: 1

Research Paper, Computer Science & Engineering, India, Volume 10 Issue 8, August 2021

Pages: 1068 - 1070

Predicting the Course Knowledge Level of Students using Data Mining Techniques

Thapaswini P S [2]

Share this Article


Top