chondrocyte 发表于 2025-3-21 19:15:03
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https://doi.org/10.1007/978-3-658-36816-6two major KBs, DBpedia and Freebase, to seed the attribute extraction from Web texts and DOM trees. We specially focus on exploring the extraction technique from DOM trees, which is rarely studied in previous works. Algorithms and a series of filters are developed. Experiments show the capability of our approach in augmenting existing KB ontology.脆弱吧 发表于 2025-3-22 09:48:04
https://doi.org/10.1007/978-3-658-31386-9ion. This reduces the processing cost for the new algorithm and as a consequence, the new algorithm outperforms existing CACHEJOIN significantly. In order to quantify the performance differences, we compare both algorithms using both synthetic and real datasets with a known skewed distribution. We also present the cost model for our new algorithm.INCH 发表于 2025-3-22 14:41:28
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Ontology Augmentation via Attribute Extraction from Multiple Types of Sourcestwo major KBs, DBpedia and Freebase, to seed the attribute extraction from Web texts and DOM trees. We specially focus on exploring the extraction technique from DOM trees, which is rarely studied in previous works. Algorithms and a series of filters are developed. Experiments show the capability of our approach in augmenting existing KB ontology.offense 发表于 2025-3-22 21:17:11
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0302-9743June 2015. The 24 full papers presented together with 5 demo papers were carefully reviewed and selected from 43 submissions.The Australasian Database Conference is an annual international forum for sharing the latest research advancements and novel applications of database systems, data driven app