#STREAM URL EXTRACTOR OFFLINE#

on Information and Knowledge Management, pages 258-267, 2006. A fast and robust method for web page template detection and removal. Are there any tools or simple tricks to do this The URL sometimes seems to be buried deep into some (for me) obscure Java script. PhD thesis, Faculty of Informatics, Masaryk University, Brno, Czech Republic, 2011. When i encounter a nice radio station I want to listen to using my SB3, it is often very hard to determine the exact stream URL to feed into Squeezecenter. Removing Boilerplate and Duplicate Content from Web Corpora. on Knowledge Discovery and Data Mining, pages 588-593, 2002. Discovering informative content blocks from web documents. Bachelor's Thesis, Faculty of Computer and Information Science, University of Ljubljana, Slovenia, 2012. Evaluating Web Content Extraction Algorithms. on Web Search and Data Mining, pages 441-450, 2010. Boilerplate detection using shallow text features. on Language Resources and Evaluation (LREC), 2008. A lightweight and efficient tool for cleaning web pages. of the ACM Symposium on Applied Computing, pages 1094-1098, 2006. Template detection for large scale search engines. Template detection via data mining and its applications. The evaluation results show that our stream-based algorithm already starts outperforming the other algorithms after only 10 to 100 documents from a specific domain. We compared the performance of URL Tree with that of several open source content extraction algorithms. The performance of the algorithm was evaluated in a stream setting on a time-stamped semi-automatically annotated dataset which was made publicly available. The core of the proposed content extraction algorithm is a simple data structure called URL Tree. Our content extraction approach is based on the observation that HTML documents from the same source normally share a common template. The presented pipeline consists of RSS readers for data acquisition from different Web sites, a duplicate removal component, and a novel content extraction algorithm which is efficient, unsupervised, and language-independent. We present an infrastructure that converts continuously acquired HTML documents into a stream of plain text documents. In this work, we focus on content extraction from streams of HTML documents.

#STREAM URL EXTRACTOR OFFLINE#

Extracting meaningful content from Web pages presents a challenging problem, already extensively addressed in the offline setting.

The Web represents the largest, and an increasingly growing, source of information.

Stream url extractor