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

Efficient extracting merchandise information is the key technology for e-commerce searching engine. By 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.