Web Mashup Oriented Digital Information Extraction for Tourism Enhancement

نویسندگان

  • Satyen Amonkar
  • Nandan Doddihal
  • Tanvi Gangan
  • Chintan Pasad
چکیده

Travelling and exploring new locations have become a very common and most attractive hobby for a lot of people. Ranging from a long holiday to some faraway places to a weekend getaway to a comparatively nearby unique spot, every type of touristic activity is highly cherished among the avid explorers. This leads to a demand for a resource that would cater the need of this rapidly growing community. Certain previous research suggests important further development to achieve this goal. It becomes necessary to integrate the relevant researches done previously so as to create a product with better usage. This paper discusses an approach of using Web Mashup technology to extract attributes and spatial data from multiple websites and use it for data analysis thereby enhancing the touristic experience. The main objective of this paper is to provide users with filtered information which is convenient to the users for selecting a tourist spot to visit. It also aims to improve degree of satisfaction of tourists and optimize touristic routes.

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تاریخ انتشار 2015