Abstract
This paper is presenting an ontology-based approach that provides a fast and more relative searching way for women cloth. The trend of online shopping in Pakistan is getting more popular since last decade. It has been observed that most of the women prefer branded cloths when they go for online shopping. The research is aimed to provide them a platform to find their desired dresses from the top brand collections of Pakistan. All top brand products will be available in system to make search for women-clothing more precise and accurate. The system will extract major attributes of dresses i.e. color, style, pattern, from images uploaded by brands registered in the system. These attributes will be defined in a form of domain-oriented ontology (RDF/OWL) that will help consumers to find more exact and proper search results for their desired cloth.
References
M. Khakhan and k. A. Siddiqui, "women’s perceptions towards branded clothing in pakistan.
I. Inayat and a. Kamal, "journal of isoss 2017 vol. 3 (2), 253-260 factors affecting young female consumer’s behavior towards branded apparels in lahore," journal of isoss, vol. 3, pp. 253-260, 2017.
S. Munir, a. A. Humayon, m. Ahmed, s. Haider, and n. Jehan, "brand image and customers’ willingness to pay a price premium for female’s stitched clothing," pakistan journal of commerce and social sciences, vol. 11, pp. 1027-1049, 2017.
S. Ajmani, h. Ghosh, a. Mallik, and s. Chaudhury, "an ontology based personalized garment recommendation system," in proceedings of the 2013 ieee/wic/acm international joint conferences on web intelligence (wi) and intelligent agent technologies (iat)-volume 03, 2013, pp. 17-20.
C.I. Cheng, d. S.-m. Liu, m.-l. Liu, and i.-e. Wan, "clothing matchmaker: automatically finding apposite garment pairs from personal wardrobe," the international journal of organizational innovation, p. 78.
D. Goel, s. Chaudhury, and h. Ghosh, "multimedia ontology based complementary garment recommendation."
H. Chen, a. Gallagher, and b. Girod, "describing clothing by semantic attributes."
K. Mikolajczyk, c. Schmid, and a. Zisserman, "human detection based on a probabilistic assembly of robust part detectors," computer vision-eccv 2004, pp. 69-82, 2004.
B. Wu and r. Nevatia, "detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet based part detectors," international journal of computer vision, vol. 75, pp. 247-266, 2007.
K. Yamaguchi, m. H. Kiapour, l. E. Ortiz, and t. L. Berg, "parsing clothing in fashion photographs," in 2012 ieee conference on computer vision and pattern recognition, cvpr 2012, 2012.
C. Faria, i. Serra, and r. Girardi, "a domain-independent process for automatic ontology population from text," science of computer programming, vol. 95, pp. 26-43, 2014.
N. F. Noy, m. Sintek, s. Decker, m. Crubézy, r. W. Fergerson, and m. A. Musen, "creating semantic web contents with protege-2000," ieee intelligent systems, vol. 16, pp. 60-71, 2001.
J. Shotton, a. Fitzgibbon, m. Cook, t. Sharp, m. Finocchio, r. Moore, et al., "real-time human pose recognition in parts from single depth images."
M. Manfredi, c. Grana, s. Calderara, and r. Cucchiara, "a complete system for garment segmentation and color classification," machine vision and applications, vol. 25, pp. 955-969, 2014.
J. Huang, d. J. Abadi, and k. Ren, "scalable sparql querying of large rdf graphs," proceedings of the vldb endowment, vol. 4, pp. 1123-1134, 2011.
W. Wong, w. Liu, and m. Bennamoun, "ontology learning from text: a look back and into the future," acm computing surveys (csur), vol. 44, p. 20, 2012.
I. Haidar-ahmad, a. Zouaq, and m. Gagnon, "automatic extraction of axioms from wikipedia using sparql," in international semantic web conference, 2016, pp. 60-64.
K. Cerans, r. Liepins, a. Sprogis, j. Ovcinnikova, and g. Barzdins, "domain-specific owl ontology visualization with owlgred," in extended semantic web conference, 2012, pp. 419-424.
S. Bischof, m. Krötzsch, a. Polleres, and s. Rudolph, "schema-agnostic query rewriting in sparql 1.1," in international semantic web conference, 2014, pp. 584-600.
G. Barbur, b. Blaga, and a. Groza, "ontorich-a support tool for semi-automatic ontology enrichment and evaluation," in intelligent computer communication and processing (iccp), 2011 ieee international conference on, 2011, pp. 129-132.
S. E. Hamada, i. A. Alshalabi, k. Elleithy, i. Badara, and s. Moslehpour, "updating student profiles in adaptive mobile learning using asp. Net mvc, dotnetrdf, turtle, and the semantic web," international journal of interactive mobile technologies (ijim), vol. 11, pp. 16-38, 2017.