document: METEOR : metadata and instance extraction from object referral lists on the web The Web has established itself as the largest public data repository ever available . Even though the vast majority of information on the Web is formatted to be easily readable by the human eye , `` meaningful information '' is still largely inaccessible for the computer applications . In this paper we present the METEOR system which utilizes various presentation and linkage regularities from referral lists of various sorts to automatically separate and extract metadata and instance information . Experimental results for the university domain with 12 computer science department Web sites , comprising 361 individual faculty and course home pages indicate that the performance of the metadata and instance extraction averages 85 % , 88 % F-measure respectively . METEOR achieves this performance without any domain specific engineering requirement .
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