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Title: :  COMPARISON OF CONCEPT RECOGNIZERS FOR BUILDING THE BIOMEDICAL ANNOTATOR
PaperId: :  4014
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4014
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
U KARTHIKEYANNEW PRINCE SHRI BHAVANI COLLEGE OF ENGINEERING AND TECHNOLOGY
T ARAVIND SAMUELNEW PRINCE SHRI BHAVANI COLLEGE OF ENGINEERING AND TECHNOLOGY
S SANTHOSHNEW PRINCE SHRI BHAVANI COLLEGE OF ENGINEERING AND TECHNOLOGY

Abstract

DATA MINING
Transcriptomic, Epigenomic, linguistics, Ontologies, Relevant datasets, Metaphysics.
Biological information will be extracted from these large and for the most part unknown knowledge, resulting in data-driven genomic, transcriptomic and epigenomic discoveries. Yet, search of relevant datasets for information discovery is limitedly supported: data describing write in code datasets square measure quite straight forward and incomplete, and not delineated by a coherant underlying metaphysics. Here, we have a tendency to show a way to overcome this limitation, by adopting associate degree write in code data looking approach that uses high-quality metaphysics information and progressive categorization technologies. Specifically, we have a tendency to developed S.O.S. GeM (http://www.bioinformatics.deib.polimi.it/SOSGeM/), a system supporting effective linguistics search and retrieval of write in code datasets. First, we have a tendency to made a linguistics mental object by beginning with ideas extracted from write in code data, matched to and enlarge on medical specialty ontologies integrated within the we have a tendency toll-established Unified Medical Language System; we prove that this reasoning technique is sound and complete. Then, we have a tendency to leveraged the linguistics mental object to semantically search write in code knowledge from arbitrary biologists’ queries; this permits properly finding additional datasets than those extracted by a strictly syntactical search, as supported by the opposite out there systems. We have a tendency to by trial and error show the relevancy of found datasets to the biologists’ queries.

Citations

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IJARIIE U KARTHIKEYAN, T ARAVIND SAMUEL, and S SANTHOSH. "COMPARISON OF CONCEPT RECOGNIZERS FOR BUILDING THE BIOMEDICAL ANNOTATOR" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 367-371
MLA U KARTHIKEYAN, T ARAVIND SAMUEL, and S SANTHOSH. "COMPARISON OF CONCEPT RECOGNIZERS FOR BUILDING THE BIOMEDICAL ANNOTATOR." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 367-371.
APA U KARTHIKEYAN, T ARAVIND SAMUEL, & S SANTHOSH. (2017). COMPARISON OF CONCEPT RECOGNIZERS FOR BUILDING THE BIOMEDICAL ANNOTATOR. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 367-371.
Chicago U KARTHIKEYAN, T ARAVIND SAMUEL, and S SANTHOSH. "COMPARISON OF CONCEPT RECOGNIZERS FOR BUILDING THE BIOMEDICAL ANNOTATOR." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 367-371.
Oxford U KARTHIKEYAN, T ARAVIND SAMUEL, and S SANTHOSH. 'COMPARISON OF CONCEPT RECOGNIZERS FOR BUILDING THE BIOMEDICAL ANNOTATOR', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 367-371. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/COMPARISON_OF_CONCEPT_RECOGNIZERS_FOR_BUILDING_THE_BIOMEDICAL_ANNOTATOR_ijariie4014.pdf (Accessed : ).
Harvard U KARTHIKEYAN, T ARAVIND SAMUEL, and S SANTHOSH. (2017) 'COMPARISON OF CONCEPT RECOGNIZERS FOR BUILDING THE BIOMEDICAL ANNOTATOR', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 367-371IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/COMPARISON_OF_CONCEPT_RECOGNIZERS_FOR_BUILDING_THE_BIOMEDICAL_ANNOTATOR_ijariie4014.pdf (Accessed : )
IEEE U KARTHIKEYAN, T ARAVIND SAMUEL, and S SANTHOSH, "COMPARISON OF CONCEPT RECOGNIZERS FOR BUILDING THE BIOMEDICAL ANNOTATOR," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 367-371, Mar-App 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/COMPARISON_OF_CONCEPT_RECOGNIZERS_FOR_BUILDING_THE_BIOMEDICAL_ANNOTATOR_ijariie4014.pdf [Accessed : ].
Turabian U KARTHIKEYAN, T ARAVIND SAMUEL, and S SANTHOSH. "COMPARISON OF CONCEPT RECOGNIZERS FOR BUILDING THE BIOMEDICAL ANNOTATOR." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 ().
Vancouver U KARTHIKEYAN, T ARAVIND SAMUEL, and S SANTHOSH. COMPARISON OF CONCEPT RECOGNIZERS FOR BUILDING THE BIOMEDICAL ANNOTATOR. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(2) : 367-371. Available from: https://ijariie.com/AdminUploadPdf/COMPARISON_OF_CONCEPT_RECOGNIZERS_FOR_BUILDING_THE_BIOMEDICAL_ANNOTATOR_ijariie4014.pdf
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