NDLI: Graph-Based AJAX Crawl: Mining Data from Rich Internet Applications

Content Provider	IEEE Xplore Digital Library
Author	Zhaomeng Peng Nengqiang He Chunxiao Jiang Zhihua Li Lei Xu Yipeng Li Yong Ren
Copyright Year	2012
Abstract	AJAX (Asynchronous JavaScript and XML) is becoming more and more popular with the prosperity of web 2.0. However, traditional crawlers fail to retrieve information from AJAX applications because of complex JavaScript operations. Moreover, a single AJAX application with one URL may have different page states, which violates the rule that one URL corresponds to one unique page. The AJAX application can be modeled as a state transition graph and to crawl AJAX is to traverse the graph without prior knowledge of its structure. In this paper, we have distinguished different AJAX events which are not well defined in previous work and proposed a Graph-based AJAX State Traversal (GAST) algorithm to crawl AJAX with minimal edge visits. If topology of the graph is given, this optimization problem turns into a Directed Rural Postman Problem (DRPP) and the optimal lower bound can be obtained. Experimental results show that the proposed algorithm approaches optimum and exhibits better performance than existing work.
Starting Page	590
Ending Page	594
File Size	580228
Page Count	5
File Format	PDF
ISBN	9781467306898
e-ISBN	9780769546476
DOI	10.1109/ICCSEE.2012.38
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Heuristic algorithms Crawlers AJAX Crawl State Traversal HTML Browsers Topology State Transition Graph Robots Directed Rural Postman Problem
Content Type	Text
Resource Type	Article

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