Development of Human Face Literature Database Using Text Mining Approach: Phase I

被引:4
|
作者
Kaur, Paramjit [1 ]
Krishan, Kewal [2 ]
Sharma, Suresh K. [1 ]
机构
[1] Panjab Univ, Ctr Syst Biol & Bioinformat, Chandigarh, India
[2] Panjab Univ, Dept Anthropol, Sect 14, Chandigarh 160014, India
关键词
Artificial intelligence; bioinformatics; CSS; human face database; MySQL; PHP; RDBMS; XAMPP; TOOL; RECOGNITION;
D O I
10.1097/SCS.0000000000004583
中图分类号
R61 [外科手术学];
学科分类号
摘要
The face is an important part of the human body by which an individual communicates in the society. Its importance can be highlighted by the fact that a person deprived of face cannot sustain in the living world. The amount of experiments being performed and the number of research papers being published under the domain of human face have surged in the past few decades. Several scientific disciplines, which are conducting research on human face include: Medical Science, Anthropology, Information Technology (Biometrics, Robotics, and Artificial Intelligence, etc.), Psychology, Forensic Science, Neuroscience, etc. This alarms the need of collecting and managing the data concerning human face so that the public and free access of it can be provided to the scientific community. This can be attained by developing databases and tools on human face using bioinformatics approach. The current research emphasizes on creating a database concerning literature data of human face. The database can be accessed on the basis of specific keywords, journal name, date of publication, author's name, etc. The collected research papers will be stored in the form of a database. Hence, the database will be beneficial to the research community as the comprehensive information dedicated to the human face could be found at one place. The information related to facial morphologic features, facial disorders, facial asymmetry, facial abnormalities, and many other parameters can be extracted from this database. The front end has been developed using Hyper Text Mark-up Language and Cascading Style Sheets. The back end has been developed using hypertext preprocessor (PHP). The JAVA Script has used as scripting language. MySQL (Structured Query Language) is used for database development as it is most widely used Relational Database Management System. XAMPP (X (cross platform), Apache, MySQL, PHP, Perl) open source web application software has been used as the server. The database is still under the developmental phase and discusses the initial steps of its creation. The current paper throws light on the work done till date.
引用
收藏
页码:966 / 969
页数:4
相关论文
共 50 条
  • [11] Nonlinear dynamics text mining using bibliometrics and Database Tomography
    Kostoff, RN
    Shlesinger, MF
    Tshiteya, R
    INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2004, 14 (01): : 61 - 92
  • [12] Electrochemical power text mining using bibliometrics and database tomography
    Kostoff, RN
    Tshiteya, R
    Pfeil, KM
    Humenik, JA
    JOURNAL OF POWER SOURCES, 2002, 110 (01) : 163 - 176
  • [13] Crowdsourcing: a systematic review of the literature using text mining
    Pavlidou, Ioanna
    Papagiannidis, Savvas
    Tsui, Eric
    INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2020, 120 (11) : 2041 - 2065
  • [14] Text mining in fisheries scientific literature: A term coding approach
    Fytilakos, Ioannis
    ECOLOGICAL INFORMATICS, 2021, 61
  • [15] A Text Mining Approach to Explore IFNε Literature and Biological Mechanisms
    McCabe, Mary
    Groves, Helen E.
    Power, Ultan F.
    Lopez Campos, Guillermo
    MEDINFO 2023 - THE FUTURE IS ACCESSIBLE, 2024, 310 : 1036 - 1040
  • [16] CLUSTERS EVOLUTION MODELS IN THE SCIENTIFIC LITERATURE: A TEXT MINING APPROACH
    Chifor, Diana Cosmina
    Maier, Lucian C.
    Arion, Felix H.
    SCIENTIFIC PAPERS-SERIES MANAGEMENT ECONOMIC ENGINEERING IN AGRICULTURE AND RURAL DEVELOPMENT, 2023, 23 (02) : 109 - 122
  • [17] Prioritizing cancer hazard assessments for IARC Monographs using an integrated approach of database fusion and text mining
    Barupal, Dinesh Kumar
    Schubauer-Berigan, Mary K.
    Korenjak, Michael
    Zavadil, Jiri
    Guyton, Kathryn Z.
    ENVIRONMENT INTERNATIONAL, 2021, 156
  • [18] The Face Database Development of Science and Technology Expects Based on Web Mining
    Yang, Chunxia
    Yan, Yunyang
    Zhu, Quanyin
    2012 FOURTH INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION NETWORKING AND SECURITY (MINES 2012), 2012, : 388 - 391
  • [19] The Face database development of science and technology expects based on Web mining
    Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, China
    Proc. - Int. Conf. Multimedia Secur., MINES, (388-391):
  • [20] Face Detection Using Data Mining Approach
    Jurnde, Arnol S.
    Sonavane, Shefali P.
    Behera, Reena Kurnari
    2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2015, : 535 - 539