International Journal of Information Technology and Computer Science(IJITCS)
ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)
Published By: MECS Press
IJITCS Vol.9, No.7, Jul. 2017
Determining the Degree of Knowledge Processing in Semantics through Probabilistic Measures
Full Text (PDF, 341KB), PP.35-41
World Wide Web is a huge repository of information. Retrieving data patterns is facile by using data mining techniques. However identifying the knowledge is tough, tough because the knowledge should be meaningful. Semantics, a branch of linguistics, defines the process of supplying knowledge to the computer system. The underlying idea of semantics is to understand the language model and its correspondence with the meaning associability. Though semantics indicates a crucial ingredient for language processing, the degree of work composition done in this area is minimal. This paper presents an ongoing semantic research problem thereby investigating the theory and rule representation. Probabilistic approach for semantics is demonstrated to address the semantics knowledge representation. The inherit requirement for our system is to have the language syntactically correct. This approach identifies the meaning of the sentence at word-level. The accuracy of the proposed architecture is studied in terms of recall and precision measures. From the experiments conducted, it is clear that the probabilistic model for semantics is able to associate the language model at a preliminary level.
Cite This Paper
Rashmi S, Hanumanthappa M,"Determining the Degree of Knowledge Processing in Semantics through Probabilistic Measures", International Journal of Information Technology and Computer Science(IJITCS), Vol.9, No.7, pp.35-41, 2017. DOI: 10.5815/ijitcs.2017.07.04
Eetu M¨akel¨a “Survey of Semantic Search Research”, Research gate 2008.
James R Hurford, “Semantics, a course book” Cambridge University Press 2007
Peter W. Foltz, “Latent semantic analysis for text-based research” Behavior Research Methods, Instruments, & Computers 1996, 28 (2), 197-202
Antonie Doucet, “A method to calculate probability and expected document frequency of discontinued word sequences” Traitement Automatique des Langues (TAL) 46, 13-37 (2006)
G Madhu, “Intelligent Semantic Web Search Engines: A Brief Survey” International Journal of Web & Semantic Technology (IJWesT) Vol.2, No.1, January 2011
Masao Yokota, “ Aware computing guided by Lmdexpression and direct knowledge in spatial language understanding”, 2011 3rd International Conference on Awareness Science and Technology (iCAST), DOI: 10.1109/ICAwST.2011.6163164 Publisher: IEEE
Radziah Mohamad, “ Similarity algorithm for evaluating the coverage of domain ontology for semantic Web services”, International conference on Software Engineering Conference (MySEC), 2014 , DOI: 10.1109/MySec.2014.6986012 Publisher: IEEE
Guanghui Yang,Junkang Feng,"Database Semantic Interoperability based on Information Flow Theory and Formal Concept Analysis", IJITCS, vol.4, no.7, pp.33-42, 2012.
Zahia Marouf, Sidi Mohamed Benslimane,"An Integrated Approach to Drive Ontological Structure from Folksonomie", IJITCS, vol.6, no.12, pp.35-45, 2014 DOI: 10.5815/ijitcs.2014.12.05
Kavitha, A., Rajkumar, N., and Victor, S.P., An Integrated Approach for Measuring Semantic Similarity Between Words and Sentences Using Web Search Engine. The International Journal of Information Technology & Computer Science (IJITCS), 9(3), 68-78.2013
“Semantic analysis of Natural Language”, by Poroshin.V.A, Saint-Petersburg State University, 2004.
“Speech understanding through syntactic and semantic analysis”, Donald E. Walker Artificial Intelligence Center, Stanford Research Institute, Menlo Park, California., DE Walker, AI center, advanced papers of the conference
Hiroyuki Yamauchi, “Processing of syntax and semantics of natural language by predicate logic”, institute of space and aeronautical science, university of Tokyo, proceedings of the 8th conference on computational linguistics, pages 389-396
Wood, G.C.,” Lecture on Introduction to Semantics at the University of Sheffield”.
Yi Jin, The Research of Search Engine Based on Semantic Web”, International Symposium on Intelligent Information Technology Application Workshops,2008 DOI: 10.1109/IITA. Workshops.2008.193 Publisher: IEEE