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

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. Address correspondence and reprint requests to Dr Kewal Krishan, PhD, FRAI, Associate Professor and Chairperson, Department of Anthropology, Panjab University, Sector 14, Chandigarh 160 014, India; E-mails: gargkk@yahoo.com, kewalkrishan@pu.ac.in Received 11 February, 2018 Accepted 5 March, 2018 The authors report no conflicts of interest. © 2018 by Mutaz B. Habal, MD.

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