TMS Business Core Library Aurelius is an Object-Relational Mapping (ORM) .zip
2021-07-09 15:02:57 3.39MB TMS Delphi ORM
该项目的目标是提供一个易于使用的对象关系映射轻量级工具。 这个工具是用 Java 编写的,完全独立于操作系统。 它没有引擎,没有代码生成器,也没有应用服务器。 它只是一个工具,允许
2021-07-03 18:03:58 64KB 开源软件
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exercise7 SSD7 relational-schema.txt 卡耐基大学SSD7 Exercise7的标准及参考答案,可供参考,老师给分100分, 急需交作业的同学可以修改下信息直接提交得满分或高分,但是想学到真东西的同学还是参考再自己动手做一遍为好,祝你成功
2021-06-04 14:15:33 4KB exercise7 SSD7 relational-schema.txt
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计算机视觉Github开源论文
2021-06-03 09:09:11 1.38MB 计算机视觉
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Relational.OWL自动提取几乎所有关系数据库的语义,并将此信息自动转换为RDF / OWL,可由大多数语义Web应用程序进行处理。
2021-05-13 14:03:25 757KB 开源软件
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模块化的、具有关系推理能力的深度神经网络架构 RN介绍,可以“即插即用”,提升其他深度神经网络结构(如 CNN)关系推理的能力。
2021-05-07 10:05:49 1.37MB AI DeepMind 关系推理 Relation
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Relational database systems have traditionally optimized for I/O performance and organized records sequentially on disk pages using the N-ary Storage Model (NSM) (a.k.a., slotted pages). Recent research, however, indicates that cache utilization and performance is becoming increasingly important on modern platforms. In this paper, we first demonstrate that in-page data placement is the key to high cache performance and that NSM exhibits low cache utilization on modern platforms. Next, we propose a new data organization model called PAX (Partition Attributes Across), that significantly improves cache performance by grouping together all values of each attribute within each page. Because PAX only affects layout inside the pages, it incurs no storage penalty and does not affect I/O behavior. According to our experimental results (which were obtained without using any indices on the participating relations), when compared to NSM (a) PAX exhibits superior cache and memory bandwidth utilization, saving at least 75% of NSM’s stall time due to data cache accesses, (b) range selection queries and updates on memory-resident relations execute 17-25% faster, and (c) TPC-H queries involving I/O execute 11-48% faster. Finally, we show that PAX performs well across different memory system designs.
2021-03-30 18:01:40 196KB 存储格式
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In this paper we present Ontop, an open-source Ontology Based Data Access (OBDA) system that allows for querying relational data sources through a conceptual representation of the domain of interest, provided in terms of an ontology, to which the data sources are mapped. Key features of Ontop are its solid theoretical foundations, a virtual approach to OBDA that avoids materializing triples and that is implemented through query rewriting techniques, extensive optimizations exploiting all elements of the OBDA architecture, its compliance to all relevant W3C recommendations (including SPARQL queries, R2RML mappings, and OWL 2 QL and RDFS ontologies), and its support for all major relational databases
2021-03-16 12:02:50 592KB Ontop sparql 知识图谱
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司法概念基金会。 整个实体,请先进行描述,然后再进行“现代概念组织”( )的描述。 排序,生产子图关联, 与子模式关联( ), , , 等。 Ci-dessous,没有 。 L'appel du program se fait enpremièreligne,un texte d'entréedonnélignes suivantes。 %%mocodo --mld --colors brewer+1 --shapes copperplate --relations diagram markdown_data_dict DF, 11 Élève, 1N Classe Class
2021-01-28 11:24:54 642KB svg drawing sql relational-databases
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this book aims at showing the intersection of statistical, logical and relational learning.
2020-12-30 16:10:49 5.39MB statistics machine learning reasoning
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