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Neo

Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul
2019 Proceedings of the VLDB Endowment  
relies on deep neural networks to generate query executions plans.  ...  Query optimization is one of the most challenging problems in database systems.  ...  CONCLUSIONS This paper presents Neo, the first end-to-end learning optimizer that generates highly efficient query execution plans using deep neural networks.  ... 
doi:10.14778/3342263.3342644 fatcat:ep3tixgsbrdxhlt4ekm2flvc6u

Neo: A Learned Query Optimizer [article]

Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul
2019 arXiv   pre-print
relies on deep neural networks to generate query executions plans.  ...  Query optimization is one of the most challenging problems in database systems.  ...  Intuitively, we build a vectorized representation of each query predicate based on data in the database itself.  ... 
arXiv:1904.03711v1 fatcat:sm5bmuavtvffrjkg5qno7pwaaq

IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles [article]

Tianze Shi, Kedar Tatwawadi, Kaushik Chakrabarti, Yi Mao, Oleksandr Polozov, Weizhu Chen
2018 arXiv   pre-print
single correct target SQL query.  ...  When further combined with the execution-guided decoding strategy, our model sets a new state-of-the-art performance at an execution accuracy of 87.1%.  ...  For example, as noticed by Zhong et al. (2017) , the ordering of filtering conditions in a query does not affect execution but affects generation.  ... 
arXiv:1809.05054v2 fatcat:n5jgjf366fgu7eeghsfihhjyli

Vectorizing an In Situ Query Engine

Panagiotis Sioulas, Anastasia Ailamaki
2016 Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16  
In this paper, we investigate the effect of vector processing on raw data querying. We enhance the operators of a query engine to use SIMD operations.  ...  Therefore, numerous research efforts advocate for querying each dataset in situ,i.e., without pre-loading it in a DBMS.  ...  Figure 2 plots the execution time of the original and vectorized version of the system for the sequence of queries. In all cases, the SIMD version reduces execution time by a factor of 1.2-6x.  ... 
doi:10.1145/2882903.2914829 dblp:conf/sigmod/SioulasA16 fatcat:kikxqopcuzdmdmoq3wamezhesy

AUTONOMOUS AGENTS FOR WEB PAGES FILTERING

FLÁVIA COIMBRA DELICATO, LUCI PIRMEZ, LUIZ FERNANDO RUST DA COSTA CARMO
2001 Computing and Information Technologies  
With the current growth of the information available in Internet, users are facing an information overload. This work proposes a multiagent system for Web pages personalized filtering.  ...  This work presents the system description and the promising results of tests performed in a simulated environment.  ...  For vector space representations, the method for query reformulation in response to user's feedback is vector adjustment.  ... 
doi:10.1142/9789812810885_0002 fatcat:mykdhh62s5f7dekjk7xalwymvq

Application of Convolution Neural Networks in Web Search Log Mining for Effective Web Document Clustering

Suruchi Chawla
2022 International Journal of Information Retrieval Research  
Experiment was done on the data set of web search query and associated clicked URLs to measure the quality of clusters based on document semantic representation using Deep learning model CNN.  ...  In this paper Deep Learning Model Convolution Neural Network(CNN) is used in big web search log data mining to learn the semantic representation of a document.  ...  The snapshot execution of CNN in tensorflow for generation of document concept vector is shown in Fig 2 .  ... 
doi:10.4018/ijirr.300367 fatcat:p37htwoyovcmvnsjb4bhnuhsge

SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion [article]

Muntasir Wahed, Daniel Gruhl, Alfredo Alba, Anna Lisa Gentile, Petar Ristoski, Chad Deluca, Steve Welch, Ismini Lourentzou
2021 arXiv   pre-print
Recent advances in text representation have shown that training on large amounts of text is crucial for natural language understanding.  ...  In this paper, we consider the problem of fast approximate corpus expansion given a small seed corpus with a few relevant documents as a query, with the goal of capturing the long tail of a domain-specific  ...  Similarly, the seed query vector representation ì Q is constructed by averaging the representations of each query , which in turn are mean representations of 's word vector representations ì ( ) , = 1,  ... 
arXiv:2108.11948v1 fatcat:iwxkcfh5mjhdlecf4km4uvo6yu

PANDADB: A Distributed Graph Database System to Query Unstructured Data in Big Graph [article]

Zihao Zhao, Zhihong Shen, Mingjie Tang, Chuan Hu, Yuanchun Zhou
2022 arXiv   pre-print
However, most of the previous works execute various tasks in different systems and lose the possibility to optimize such queries in one engine.  ...  In addition, we optimize the data storage and index to speed up the query processing in a distributed setting.  ...  The plan (c) executes the sub-property filter at last. However, the query execution time would differ. For plan(a) and plan(b), the Property Filter2 filters the photos of all nodes in the database.  ... 
arXiv:2107.01963v5 fatcat:khnklgufjfhbbctosltwxl26m4

The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision [article]

Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu
2019 arXiv   pre-print
Our model builds an object-based scene representation and translates sentences into executable, symbolic programs.  ...  To bridge the learning of two modules, we use a neuro-symbolic reasoning module that executes these programs on the latent scene representation.  ...  This work was supported in part by the Center for Brains, Minds and Machines (NSF STC award CCF-1231216), ONR MURI N00014-16-1-2007, MIT-IBM Watson AI Lab, and Facebook.  ... 
arXiv:1904.12584v1 fatcat:rf5epjpdgffxvdx2y4cyfykfvu

GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data – Technical Report [article]

Timo Homburg, Steffen Staab, Daniel Janke
2020 arXiv   pre-print
We introduce an approach to semantically represent and query raster data in a Semantic Web graph.  ...  We define new filter functions and illustrate our approach using several use cases on real-world data sets.  ...  Work by Steffen Staab was partially supported by DFG through the project LA 2672/1, Language-integrated Semantic Querying (LISeQ).  ... 
arXiv:2009.05032v1 fatcat:abmi76jbfbdqrm6spafnxkkdre

RIQ: Fast processing of SPARQL queries on RDF quadruples

Anas Katib, Vasil Slavov, Praveen Rao
2016 Journal of Web Semantics  
It employs a new vector representation for RDF graphs and locality sensitive hashing to construct the groups efficiently.  ...  The optimized queries are then executed using an existing SPARQL processor that supports quads to produce the final results.  ...  The Filtering Engine generates a query plan for a SPARQL query, constructs the vector representation of each BGP in the query, and identifies, using the filtering index, candidate groups that may contain  ... 
doi:10.1016/j.websem.2016.03.005 fatcat:amjgd5aobnh45hswyu2j4wx5x4

RIQ: Fast Processing of SPARQL Queries on RDF Quadruples

Anas Katib, Vasil Slavov, Praveen Rao
2016 Social Science Research Network  
It employs a new vector representation for RDF graphs and locality sensitive hashing to construct the groups efficiently.  ...  The optimized queries are then executed using an existing SPARQL processor that supports quads to produce the final results.  ...  The Filtering Engine generates a query plan for a SPARQL query, constructs the vector representation of each BGP in the query, and identifies, using the filtering index, candidate groups that may contain  ... 
doi:10.2139/ssrn.3199230 fatcat:mfpm7kqks5d3pkenxflexrsdue

Orthogonal Attention: A Cloze-Style Approach to Negation Scope Resolution [article]

Aditya Khandelwal, Vahida Attar
2021 arXiv   pre-print
In this work, we look at Negation Scope Resolution as a Cloze-Style task, with the sentence as the Context and the cue words as the Query.  ...  Negation Scope Resolution is an extensively researched problem, which is used to locate the words affected by a negation cue in a sentence.  ...  This could be thought of as the query acting as a filter for each context dimension. • A 1D Convolutional operation using Query vectors Q j as filters to convolve over the Context vectors C i (this is  ... 
arXiv:2103.04294v1 fatcat:c3ndbnarjnbgtn3ypco7wiz2t4

Typed Linear Algebra for Efficient Analytical Querying [article]

João M. Afonso, Gabriel D. Fernandes, João P. Fernandes, Filipe Oliveira, Bruno M. Ribeiro, Rogério Pontes, José N. Oliveira, Alberto J. Proença
2018 arXiv   pre-print
The typed approach offers strong type checking (as in modern programming languages) and a diagrammatic way of expressing queries (paths in LA diagrams).  ...  This paper uses typed linear algebra (LA) to represent data and perform analytical querying in a single, unified framework.  ...  The LA approach is clearly the fastest in query 3 for all dataset sizes, while the redundant filtering operations in query 4 take over 60% of the overall execution time, considerably degrading its performance  ... 
arXiv:1809.00641v1 fatcat:u33lyjkswjepfnccgpw4t6ylne

Approximate Similarity Search for Online Multimedia Services on Distributed CPU-GPU Platforms [article]

George Teodoro, Eduardo Valle, Nathan Mariano, Ricardo Torres, Wagner Meira Jr, Joel H. Saltz
2012 arXiv   pre-print
Hypercurves executes on hybrid CPU--GPU environments, and is able to employ those devices cooperatively to support massive query request rates.  ...  In addition, Hypercurves achieves superlinear scalability in distributed (multi-node) executions, while keeping a high guarantee of equivalence with its sequential version --- thanks to the proof of probabilistic  ...  The entire set of queries has been dispatched to the filter QR at the beginning of the execution, creating a high number of concurrent queries ready to execute in the IHLS filter throughout execution (  ... 
arXiv:1209.0410v1 fatcat:xhcm6doprzeszgofjttuy3dvj4
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