Information Extraction Based on Table Area Locating for E-Commerce, Websites

Efficient extracting merchandise information is the Key technology for e-commerce searching engine. B-v analyzing web table characters of HTML pages of e-commerce websites, this article proposes the notion of table area locating, and decomposes the merchandise information extraction into three key processes searching Preparative Core Areas (PCA), locating Core Area (CA) and extracting attribute values from Core-Area, and then design the algorithm of locating Core Area and the algorithm of extracting attributes names and values. We experimented with the new approach on some HTML pages from various e-commerce websites. The results indicate that this approach can locate merchandise information area and extract attributes names and values efficiently, and have better performance of precise and recall.