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Titlebook: Databases Theory and Applications; 26th Australasian Da Mohamed A. Sharaf,Muhammad Aamir Cheema,Jianzhong Conference proceedings 2015 Spri

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书目名称Databases Theory and Applications
副标题26th Australasian Da
编辑Mohamed A. Sharaf,Muhammad Aamir Cheema,Jianzhong
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Databases Theory and Applications; 26th Australasian Da Mohamed A. Sharaf,Muhammad Aamir Cheema,Jianzhong  Conference proceedings 2015 Spri
描述This book constitutes the refereed proceedings of the 26th Australasian Database Conference, ADC 2015, held in Melbourne, VIC, Australia, in June 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 applications and data analytics between researchers and practitioners from around the globe, particularly Australia and New Zealand. The mission of ADC is to share novel research solutions to problems of today’s information society that fulfill the needs of heterogeneous applications and environments and to identify new issues and directions for future research. ADC seeks papers from academia and industry presenting research on all practical and theoretical aspects of advanced database theory and applications, as well as case studies and implementation experiences.
出版日期Conference proceedings 2015
关键词Cloud, distributed, and parallel databases; Data mining and knowledge discovery; Data warehousing; Data
版次1
doihttps://doi.org/10.1007/978-3-319-19548-3
isbn_softcover978-3-319-19547-6
isbn_ebook978-3-319-19548-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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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.
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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.
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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.
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0302-9743 June 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
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