Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.9 Issue.6

Submission
Last date
30-Dec-2023
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-9,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

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

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

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, http://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: http://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: http://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: http://ijariie.com/AdminUploadPdf/COMPARISON_OF_CONCEPT_RECOGNIZERS_FOR_BUILDING_THE_BIOMEDICAL_ANNOTATOR_ijariie4014.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
IoT Systems Security Enhancement: Evaluating the Interplay between Mobile Cloud Solutions and Edge Computing TechniquesComputer Science And EngineeringSuneetra Chatterjee Download
Tomato Plant Disease Detection and Diagnosis using CNNComputer Science and Engineering Rasika Ravindra Patil Download
A Survey of Blockchain TechnologyBlockchain DevelopmentYashraj Ranjeet Shitole Download
Crop Recommendation System Using ML AlgorithmComputer Science and EngineeringVaishnavi Pravin Gondkar Download
COMPREHENSIVE SURVEY ON IMPACT OF ARTIFICIAL INTELLIGENCE IN BANKINGCSEAbdul Gafoor K Download
Enhancing Liver Disease Diagnosis: Ensemble Techniques for Predictive Modeling and Diagnostic StrategiesComputer ScienceDr. Bhavesh M. Patel Download
TOKENIZATION TECHNIQUES IN NLP:A COMPREHENSIVE REVIEWComputer ScienceDr. Bhavesh M. Patel Download
COMPREHENSIVE SURVEY OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCECSEKumar Abhishek Download
ANALYSIS OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCECSEKumar Abhishek Download
IMPROVING THE ACCURACY OF BUSINESS RECOMMENDATION SYSTEM USING DISTANCE METRIC TECHNIQUESComputer ScienceMustapha Maidawa Download
A REVIEW ON MACHINE LEARNING TECHNIQUES IN CORONARY ARTERY DISEASE: CHALLENGES AND FUTURE DIRECTIONComputer ScienceAbi Izang Igyem Download
COTTON LEAF DISEASE DETECTIONSCOMPUTER SCIENCE AND ENGINEERING M. SENTHIL KUMAR Download
ProductPulseComputer EngineeringProf. Ravishankar. C. Bhaganagare Download
YOLOV3-BASED OBJECT DETECTION FOR VISUALLY IMPAIREDCOMPUTER ENGINEERINGMJ SHASHANK Download
Detection of Android Malware Using Multiple Linear Regression Models-Based Classifierscomputer EngineeringM. Parkavi Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2023. IJARIIE. All Rights Reserved.