Aspiration
发表于 2025-3-27 00:01:42
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引导
发表于 2025-3-27 02:08:13
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detach
发表于 2025-3-27 09:13:42
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.
Mingle
发表于 2025-3-27 12:07:12
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.
Breach
发表于 2025-3-27 15:05:25
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WAX
发表于 2025-3-27 20:10:05
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.
encyclopedia
发表于 2025-3-27 22:41:40
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BLAZE
发表于 2025-3-28 04:43:47
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.
贪婪性
发表于 2025-3-28 09:54:45
Evangelia Tsoukanara,Georgia Koloniari,Evaggelia Pitoura
Retrieval
发表于 2025-3-28 11:18:59
Web and Big Data. APWeb-WAIM 2021 International WorkshopsKGMA 2021, SemiBDMA