Automatic identification of informative sections of Web pages Export

@article{citeulike:520461, abstract = {Web pages - especially dynamically generated ones - contain several items that cannot be classified as the "primary content," e.g., navigation sidebars, advertisements, copyright notices, etc. Most clients and end-users search for the primary content, and largely do not seek the noninformative content. A tool that assists an end-user or application to search and process information from Web pages automatically, must separate the "primary content sections" from the other content sections. We call these sections as "Web page blocks" or just "blocks." First, a tool must segment the Web pages into Web page blocks and, second, the tool must separate the primary content blocks from the noninformative content blocks. In this paper, we formally define Web page blocks and devise a new algorithm to partition an HTML page into constituent Web page blocks. We then propose four new algorithms, ContentExtractor, FeatureExtractor, K-FeatureExtractor, and L-Extractor. These algorithms identify primary content blocks by 1) looking for blocks that do not occur a large number of times across Web pages, by 2) looking for blocks with desired features, and by 3) using classifiers, trained with block-features, respectively. While operating on several thousand Web pages obtained from various Web sites, our algorithms outperform several existing algorithms with respect to runtime and/or accuracy. Furthermore, we show that a Web cache system that applies our algorithms to remove noninformative content blocks and to identify similar blocks across Web pages can achieve significant storage savings.}, author = {Debnath, S. and Mitra, P. and Pal, N. and Giles, C. L.}, citeulike-article-id = {520461}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1490530}, journal = {Knowledge and Data Engineering, IEEE Transactions on}, keywords = {content\_extraction, informative}, number = {9}, pages = {1233--1246}, posted-at = {2007-10-12 02:01:34}, priority = {0}, title = {Automatic identification of informative sections of Web pages}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1490530}, volume = {17}, year = {2005} }

TY - JOUR ID - citeulike:520461 L3 - citeulike-article-id:520461 N2 - Web pages - especially dynamically generated ones - contain several items that cannot be classified as the "primary content," e.g., navigation sidebars, advertisements, copyright notices, etc. Most clients and end-users search for the primary content, and largely do not seek the noninformative content. A tool that assists an end-user or application to search and process information from Web pages automatically, must separate the "primary content sections" from the other content sections. We call these sections as "Web page blocks" or just "blocks." First, a tool must segment the Web pages into Web page blocks and, second, the tool must separate the primary content blocks from the noninformative content blocks. In this paper, we formally define Web page blocks and devise a new algorithm to partition an HTML page into constituent Web page blocks. We then propose four new algorithms, ContentExtractor, FeatureExtractor, K-FeatureExtractor, and L-Extractor. These algorithms identify primary content blocks by 1) looking for blocks that do not occur a large number of times across Web pages, by 2) looking for blocks with desired features, and by 3) using classifiers, trained with block-features, respectively. While operating on several thousand Web pages obtained from various Web sites, our algorithms outperform several existing algorithms with respect to runtime and/or accuracy. Furthermore, we show that a Web cache system that applies our algorithms to remove noninformative content blocks and to identify similar blocks across Web pages can achieve significant storage savings. IS - 9 JF - Knowledge and Data Engineering, IEEE Transactions on EP - 1246 TI - Automatic identification of informative sections of Web pages VL - 17 SP - 1233 KW - content_extraction KW - informative AU - Debnath, S AU - Mitra, P AU - Pal, N AU - Giles, CL PY - 2005/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1490530 ER -