scholarly journals The design and implementation of a meaning driven data query language

2003 ◽  
Author(s):  
E. Kapetanios ◽  
D. Baer ◽  
P. Groenewoud ◽  
P. Mueller
Keyword(s):  
Query Language ◽  
Design And Implementation ◽  
Data Query

scholarly journals Data Query Mechanism Based on Hash Computing Power of Blockchain in Internet of Things

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 207 ◽  
Author(s):  
Yongjun Ren ◽  
Fujian Zhu ◽  
Pradip Kumar Sharma ◽  
Tian Wang ◽  
Jin Wang ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Grids ◽  
Query Language ◽  
Bloom Filter ◽  
Reading Performance ◽  
Computational Power ◽  
Computing Power ◽  
Data Query ◽  
Internet Of Things Environment ◽  
The Internet Of Things

In the IoT (Internet of Things) environment, smart homes, smart grids, and telematics constantly generate data with complex attributes. These data have low heterogeneity and poor interoperability, which brings difficulties to data management and value mining. The promising combination of blockchain and the Internet of things as BCoT (blockchain of things) can solve these problems. This paper introduces an innovative method DCOMB (dual combination Bloom filter) to firstly convert the computational power of bitcoin mining into the computational power of query. Furthermore, this article uses the DCOMB method to build blockchain-based IoT data query model. DCOMB can implement queries only through mining hash calculation. This model combines the data stream of the IoT with the timestamp of the blockchain, improving the interoperability of data and the versatility of the IoT database system. The experiment results show that the random reading performance of DCOMB query is higher than that of COMB (combination Bloom filter), and the error rate of DCOMB is lower. Meanwhile, both DCOMB and COMB query performance are better than MySQL (My Structured Query Language).

Design and Implementation of the Health Examination Robot Control System Architecture

2014 ◽  
Vol 678 ◽  
pp. 352-359
Author(s):  
Dun Hua Huang ◽  
Hai Jun Zhou ◽  
Jian Cui
Keyword(s):  
Robot Control ◽  
Historical Data ◽  
Low Cost ◽  
Health Examination ◽  
Blood Oxygen ◽  
Control Module ◽  
Design And Implementation ◽  
Data Query ◽  
Control System Architecture ◽  
Electrocardiogram Ecg

The paper research a health examination robot, which set height, weight, blood pressure, blood glucose, cholesterol, blood oxygen, electrocardiogram (ECG), energy check in one certain. In the design, adopt 32 bit embedded ARM micro controller NuMicro NUC140, RFID card reader, oxygen check control module and ECG check control module, taking into account the system connection and RFID identification, parameters of historical data query and ECG check process. Experimental data show that system functions are realized and to promote low-cost medical treatment.

scholarly journals MQALD: Evaluating the impact of modifiers in question answering over knowledge graphs

Semantic Web ◽  
2021 ◽  
pp. 1-17
Author(s):  
Lucia Siciliani ◽  
Pierpaolo Basile ◽  
Pasquale Lops ◽  
Giovanni Semeraro
Keyword(s):  
Natural Language ◽  
Question Answering ◽  
Query Language ◽  
State Of The Art ◽  
Translation Process ◽  
Specific Data ◽  
Data Query ◽  
Question Answering Systems ◽  
Knowledge Graphs ◽  
The Impact

Question Answering (QA) over Knowledge Graphs (KG) aims to develop a system that is capable of answering users’ questions using the information coming from one or multiple Knowledge Graphs, like DBpedia, Wikidata, and so on. Question Answering systems need to translate the user’s question, written using natural language, into a query formulated through a specific data query language that is compliant with the underlying KG. This translation process is already non-trivial when trying to answer simple questions that involve a single triple pattern. It becomes even more troublesome when trying to cope with questions that require modifiers in the final query, i.e., aggregate functions, query forms, and so on. The attention over this last aspect is growing but has never been thoroughly addressed by the existing literature. Starting from the latest advances in this field, we want to further step in this direction. This work aims to provide a publicly available dataset designed for evaluating the performance of a QA system in translating articulated questions into a specific data query language. This dataset has also been used to evaluate three QA systems available at the state of the art.

scholarly journals Business-oriented customized big data query system and its SQL parser design and implementation

2018 ◽  
Vol 232 ◽  
pp. 01004
Author(s):  
Wenshuai Ge ◽  
Gang He ◽  
Xinwen Liu
Keyword(s):  
Big Data ◽  
User Behavior ◽  
The Internet ◽  
Query Interface ◽  
User Behavior Analysis ◽  
Design And Implementation ◽  
Data Query ◽  
Query System ◽  
Internet User Behavior ◽  
Analysis Platform

This paper proposes a big data query system for customized queries based on specific business needs. This paper introduces the components and structure of the query system. ANTLR tools are used as language recognizer to design and implement a customized SQL dialect. The system builds a simpler and easier query interface on Spark SQL, which satisfies the query requirements of the Internet user behavior analysis platform.

On Efficient Evaluation of XML Queries

2011 ◽  
pp. 239-293
Author(s):  
Sherif Sakr
Keyword(s):  
World Wide Web ◽  
World Wide ◽  
Query Language ◽  
Data Sets ◽  
Relational Approach ◽  
Complex Queries ◽  
Xml Documents ◽  
Design And Implementation ◽  
The World

Recently, the use of XML continues to grow in popularity, large repositories of XML documents are going to emerge, and users are likely to pose increasingly more complex queries on these data sets. In 2001 XQuery is decided by the World Wide Web Consortium (W3C) as the standard XML query language. In this article, we describe the design and implementation of an efficient and scalable purely relational XQuery processor which translates expressions of the XQuery language into their equivalent SQL evaluation scripts. The experiments of this article demonstrated the efficiency and scalability of our purely relational approach in comparison to the native XML/XQuery functionality supported by conventional RDBMSs and has shown that our purely relational approach for implementing XQuery processor deserves to be pursued further.

Design and implementation of a string database query language

2003 ◽  
Vol 28 (4) ◽  
pp. 311-337 ◽  
Author(s):  
Gösta Grahne ◽  
Raul Hakli ◽  
Matti Nykänen ◽  
Hellis Tamm ◽  
Esko Ukkonen
Keyword(s):  
Query Language ◽  
Database Query ◽  
String Database ◽  
Design And Implementation ◽  
Database Query Language

The Research of XML Keyword Retrieval Algorithms Based on MapReduce

2014 ◽  
Vol 556-562 ◽  
pp. 3347-3349
Author(s):  
Yao Wen Xia ◽  
Ji Li Xie
Keyword(s):  
Retrieval Algorithm ◽  
Keyword Query ◽  
Data Set ◽  
Xml Data ◽  
Design And Implementation ◽  
Data Query ◽  
Xml Document ◽  
Retrieval Algorithms ◽  
Retrieval Problem ◽  
Query System

In this paper, from the perspective of XML data management, first in the HDFS store large amount of data and XML data based on XML data query rewrite the traditional framework of MapReduce process, the design of large amount of data XML data set keywords retrieval algorithm, contain XML data classification and coding, index and search a four parts, solve the large amount of data of the XML document keywords retrieval problem. Then the design and implementation based on MapReduce of large amount of data XML keyword query system.

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