Semantic matching is a kind of ontology matching technique that depends on linguistics info encoded in light weight ontologies to establish nodes that square measure semantically connected. Ontologies matching are associate operator that identifies those nodes within the two structures that semantically correspond to at least one another. Matching concept is assessed into two classes like Syntax and linguistics Structures. Syntax matching concept is mainly focuses on syntax supported to the acceptable compiler. Linguistics is the main accustomed resolve the given word victimization logical analysis. The main objective of this proposed work is to determine the probability of semantic word used in the e-content which is retrieved from the given document. These techniques used to stem and trim the word from the given document and classify based on the knowledge such as Factual, Procedural and Conceptual. These Classified words are reconstructed into tree structures, used to calculate the probability of outcome and evidence. These effective and effusive techniques mainly to reduce the time, memory utilization and efficiency based on the proposed SAS (Semi-Automated Semantic) algorithm.

Semantic, Syntax, ontologies, Structures, stem

[1] Ranjna Jain, Neelam Duhan, A.K.Sharma,"Comparative Study on Ontology Management Approaches in Semantic Web",IJCSE Vol 6, Issue 1, PP 132-140. -Jan 2018.
[2] Muqeem Ahmed,"Semantic Based Intelligent Information Retrieval through Data mining and Ontology", IJCSE VOL- 5, ISSUE - 10,PP 210-217,Oct-2017.
[3] S. Banerjee,"A Semantic Web Based Ontology in the Financial Domain", International Journal of Computer and Information Engineering, Vol:7, No:6,PP 807-810, 2013.
[4] H. Srimathi, "Semantic Web based Personalized eLearning", International Journal of Applied Information Systems (IJAIS), Volume 2– No.1, PP 11-16, May 2012.
[5] Vasani Krunal A, "CONTENT EVOCATION USING WEB SCRAPING AND SEMANTIC ILLUSTRATION",IOSR Journal of Computer Engineering (IOSR-JCE),Volume 16, Issue 3, Ver. IX , PP 54-60,May-Jun. 2014.
[6] Hasida, K. "Semantic Authoring and Semantic Computing". Sakurai, A. et al. (Eds.): JSAI 2003/2004, LNAI 3609, PP 137–149.
[7] Diana Man, "Ontologies in Computer Science, Didactica Mathematica", Vol. 31, No 1, pp. 43–46,2013.
[8] YassineGargouri,"Ontology Maintenance using Textual Analysis, Systematic-cybernetics and informatics",Vol-1,Number 5,pp-63-68,2016.
[9] Arun K.Pujari,, ―Data mining techniques‖, Universities Press (India) Pvt. Ltd. 2001.International Journal of Management, Technology And Engineering, Volume 8, Issue IX, SEPTEMBER-2018.
[10] Kristina M Doing-Harris, "Automated Concept, and Relationship Extraction from the Semi- Automated Ontology Management (SEAM) System", International Journal Biomedical Semantics, April 2015.
[11] D. Elangovan, “Semi-Automated Semantic Matched Concept Extraction Model for E-Content Development”, International Journal of Applied Engineering Research, November 5, 2016.