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Titlebook: Web and Big Data. APWeb-WAIM 2021 International Workshops; KGMA 2021, SemiBDMA Yunjun Gao,An Liu,Junying Chen Conference proceedings 2021

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樓主: Grant
31#
發(fā)表于 2025-3-27 00:01:42 | 只看該作者
32#
發(fā)表于 2025-3-27 02:08:13 | 只看該作者
33#
發(fā)表于 2025-3-27 09:13:42 | 只看該作者
SMat-J: A Sparse Matrix-Based Join for?SPARQL Query Processing statistical input from SM Storage. Thirdly, Query Executor module executes query in an efficient manner. Lastly, SMat-J evaluated by comparing with some well-known approaches like gStore and RDF3X on very large datasets (over 500 million triples). SMat-J is proved as significantly efficient and scalable.
34#
發(fā)表于 2025-3-27 12:07:12 | 只看該作者
SMat-J: A Sparse Matrix-Based Join for?SPARQL Query Processing statistical input from SM Storage. Thirdly, Query Executor module executes query in an efficient manner. Lastly, SMat-J evaluated by comparing with some well-known approaches like gStore and RDF3X on very large datasets (over 500 million triples). SMat-J is proved as significantly efficient and scalable.
35#
發(fā)表于 2025-3-27 15:05:25 | 只看該作者
36#
發(fā)表于 2025-3-27 20:10:05 | 只看該作者
Product Clustering Analysis Based on the Retail Product Knowledge Graphn objective is to unveil hidden interactions of products by including implicit product attributes. These hidden interactions bring insights to downstream operations such as demand forecasting, production planning, assortment optimization, etc.
37#
發(fā)表于 2025-3-27 22:41:40 | 只看該作者
38#
發(fā)表于 2025-3-28 04:43:47 | 只看該作者
A Distributed Engine for?Multi-query Processing Based on?Predicates with?Sparks SPARQL queries with translating them into Spark SQL. We utilize the predicate information as the feature of the query and cluster the multiple queries which share more common features into groups..We conduct experiments with synthetic datasets, compared with the result without MQO processing, we could show the effectiveness of our approach.
39#
發(fā)表于 2025-3-28 09:54:45 | 只看該作者
Evangelia Tsoukanara,Georgia Koloniari,Evaggelia Pitoura
40#
發(fā)表于 2025-3-28 11:18:59 | 只看該作者
Web and Big Data. APWeb-WAIM 2021 International WorkshopsKGMA 2021, SemiBDMA
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