Extracting search result records (SRRs) from webpages is useful for building an aggregated search engine which combines search results from a variety of search engines. Most automatic approaches to search result extraction are not portable: the complete process has to be rerun on a new search result page. In this paper we describe an algorithm to automatically determine XPath expressions to extract SRRs from webpages. Based on a single search result page, an XPath expression is determined which can be reused to extract SRRs from pages based on the same template. The algorithm is evaluated on a six datasets, including two new datasets containing a variety of web, image, video, shopping and news search results. The evaluation shows that for 85% of the tested search result pages, a useful XPath is determined. The algorithm is implemented as a browser plugin and as a standalone application which are available as open source software.
|Place of Publication||Enschede|
|Publisher||Centre for Telematics and Information Technology (CTIT)|
|Number of pages||10|
|Publication status||Published - 8 Mar 2012|
|Name||CTIT Technical Report Series|
|Publisher||University of Twente, Centre for Telematics and Information Technology|
- DB-DM: DATA MINING
- DB-IR: INFORMATION RETRIEVAL
- Web extraction
- Search result extraction
Trieschnigg, R. B., Tjin-Kam-Jet, K., & Hiemstra, D. (2012). Ranking XPaths for extracting search result records. (CTIT Technical Report Series; No. TR-CTIT-12-08). Enschede: Centre for Telematics and Information Technology (CTIT).