@inproceedings{2fb91c42d20e485aa8b39728c52c96b1,
title = "Improving web data annotations with spreading activation",
abstract = "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 automated algorithms to gather meta-data and instance information by utilizing global regularities on the Web and incorporating the contextual information. Our system is distinguished since it does not require domain specific engineering. Experimental evaluations were successfully performed on the TAP knowledge base and the faculty-course home pages of computer science departments containing 16,861 Web pages.",
keywords = "Semantic partitioning, Semi-structured data, Spreading activation",
author = "Fatih Gelgi and Srinivas Vadrevu and Hasan Davulcu",
year = "2005",
doi = "10.1007/11581062_8",
language = "English (US)",
isbn = "3540300171",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "95--106",
booktitle = "Web Information Systems Engineering, WISE 2005 - 6th International Conference on Web Information Systems Engineering, Proceedings",
note = "6th International Conference on Web Information Systems Engineering, WISE 2005 ; Conference date: 20-11-2005 Through 22-11-2005",
}