scholarly journals SPARQL Query Generator (SQG)

2021 ◽  
Author(s):  
Yanji Chen ◽  
Mieczyslaw M. Kokar ◽  
Jakub J. Moskal
Keyword(s):  
Data Retrieval ◽  
Data Representation ◽  
Sparql Query ◽  
Experimental Results ◽  
Generation Process ◽  
Manual Work ◽  
Retrieval Systems ◽  
Large Numbers ◽  
Query Generation ◽  
Good Coverage

AbstractThis paper describes a program—SPARQL Query Generator (SQG)—which takes as input an OWL ontology, a set of object descriptions in terms of this ontology and an OWL class as the context, and generates relatively large numbers of queries about various types of descriptions of objects expressed in RDF/OWL. The intent is to use SQG in evaluating data representation and retrieval systems from the perspective of OWL semantics coverage. While there are many benchmarks for assessing the efficiency of data retrieval systems, none of the existing solutions for SPARQL query generation focus on the coverage of the OWL semantics. Some are not scalable since manual work is needed for the generation process; some do not consider (or totally ignore) the OWL semantics in the ontology/instance data or rely on large numbers of real queries/datasets that are not readily available in our domain of interest. Our experimental results show that SQG performs reasonably well with generating large numbers of queries and guarantees a good coverage of OWL axioms included in the generated queries.

scholarly journals Geographic Information Retrieval and the World Wide Web: A Match Made in Electronic Space

1997 ◽  
pp. 13-26 ◽  
Author(s):  
David Johnson ◽  
Myke Gluck
Keyword(s):  
Information Retrieval ◽  
World Wide Web ◽  
Information Needs ◽  
World Wide ◽  
Data Retrieval ◽  
Query Languages ◽  
Geographic Information ◽  
Geographic Information Retrieval ◽  
Retrieval Systems ◽  
The World

This article looks at the access to geographic information through a review of information science theory and its application to the WWW. The two most common retrieval systems are information and data retrieval. A retrieval system has seven elements: retrieval models, indexing, match and retrieval, relevance, order, query languages and query specification. The goal of information retrieval is to match the user's needs to the information that is in the system. Retrieval of geographic information is a combination of both information and data retrieval. Aids to effective retrieval of geographic information are: query languages that employ icons and natural language, automatic indexing of geographic information, and standardization of geographic information. One area that has seen an explosion of geographic information retrieval systems (GIR's) is the World Wide Web (WWW). The final section of this article discusses how seven WWW GIR's solve the the problem of matching the user's information needs to the information in the system.

scholarly journals Composite Materials Design Database and Data Retrieval System Requirements

1994 ◽  
Vol 116 (2) ◽  
pp. 531-538
Author(s):  
W. J. Rasdorf
Keyword(s):  
Composite Materials ◽  
Computer Technology ◽  
Retrieval System ◽  
Data Retrieval ◽  
Data Representation ◽  
Clear Understanding ◽  
Analysis And Design ◽  
Problems And Solutions ◽  
System Requirements ◽  
Design Software

Researchers and materials engineers require a greater understanding of the problems and solutions that emerge when integrating composite materials data with computer technology so that utilitarian composite materials databases can be developed to effectively and efficiently support analysis and design software. This paper primarily serves to analyze several of the problems facing developers of composite materials databases, evolving from the complexity of the materials themselves and from the current lack of testing and data representation standards. Without a clear understanding of the scope and nature of these problems, there is no possibility of designing concise yet comprehensive composites data models, yet we feel that such an understanding is presently lacking.

scholarly journals A Novel Inductor-Based Non-Dissipative Equalizer

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2816 ◽  
Author(s):  
Chusheng Lu ◽  
Longyun Kang ◽  
Shubiao Wang ◽  
Zefeng Wang ◽  
Huabing Rao
Keyword(s):  
Energy Storage ◽  
Lithium Battery ◽  
Experimental Results ◽  
Slow Speed ◽  
Large Numbers

Large numbers of non-dissipative equalizers have been proposed for solving the inconsistency problem of lithium battery strings. However, these equalizers face problems such as slow speed or using excessively large numbers of energy storage elements. This paper improved a multiple switch-inductors equalizer (MSIE), and proposed a novel inductor-based non-dissipative equalizer (NIBNDE). A simulation is built to compare the NIBNDE with two other equalizers, which indicated that the NIBNDE can reduce the number of energy storage elements while remaining at a good equalization speed. Experimental results validate the analysis of the simulation and the feasibility of the NIBNDE.

scholarly journals Experimental Research on the Dam-Break Mechanisms of the Jiadanwan Landslide Dam Triggered by the Wenchuan Earthquake in China

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Fu-gang Xu ◽  
Xing-guo Yang ◽  
Jia-wen Zhou ◽  
Ming-hui Hao
Keyword(s):  
Wenchuan Earthquake ◽  
Discharge Channel ◽  
Landslide Dam ◽  
Dam Break ◽  
Experimental Results ◽  
Dam Breaks ◽  
The Wenchuan Earthquake ◽  
Large Numbers ◽  
Dam Management ◽  
Break Process

Dam breaks of landslide dams are always accompanied by large numbers of casualties, a large loss of property, and negative influences on the downstream ecology and environment. This study uses the Jiadanwan landslide dam, created by the Wenchuan earthquake, as a case study example. Several laboratory experiments are carried out to analyse the dam-break mechanism of the landslide dam. The different factors that impact the dam-break process include upstream flow, the boulder effect, dam size, and channel discharge. The development of the discharge channel and the failure of the landslide dam are monitored by digital video and still cameras. Experimental results show that the upstream inflow and the dam size are the main factors that impact the dam-break process. An excavated discharge channel, especially a trapezoidal discharge channel, has a positive effect on reducing peak flow. The depth of the discharge channel also has a significant impact on the dam-break process. The experimental results are significant for landslide dam management and flood disaster prevention and mitigation.

Process Analysis and Characterization of ASNSS Using Automatic On-Line Measurement

2005 ◽  
Vol 295-296 ◽  
pp. 381-386 ◽  
Author(s):  
Liang Chia Chen ◽  
J.Y. Sun ◽  
Tsing Tshih Tsung ◽  
H. Chang ◽  
Hong Ming Lin
Keyword(s):  
Measurement System ◽  
Process Analysis ◽  
Nanoparticle Synthesis ◽  
Sampling Period ◽  
Data Representation ◽  
Experimental Results ◽  
Synthesis Process ◽  
Operating Pressure ◽  
Line Measurement ◽  
On Line

This article presents the development of an automatic on-line measurement system for characterizing a nanoparticle manufacturing process known as Arc Spray Nanoparticle Synthesis System (ASNSS). The ASNSS has been developed to generate metal nanoparticles and to explore the optimum system parameters for producing the desired nanopowders. Preliminary experimental results indicate that the size of nanoparticles, widely ranging from 10nm to 300nm, is significantly affected by the process parameters such as operating pressure, temperature, electrical current and type of dielectric liquid used. The on-line measurement system was developed to provide an effective multi-solution for characterizing the nanoparticle synthesis process and for monitoring the manufacturing quality of the ASNSS. Experiments were conducted to identify the optimum sampling period and volume of the particle suspension for accurate sampling and data acquisition. Experimental results revealed that a sampling duration of 20 minutes and a dielectric volume of 40 c.c. can achieve effective data representation while maximizing the sampling efficiency.

scholarly journals PROSPERO: online prediction of crystallographic success from experimental results and sequence

2012 ◽  
Vol 45 (3) ◽  
pp. 598-602
Author(s):  
Frank H. Zucker ◽  
Hae Young Kim ◽  
Ethan A. Merritt
Keyword(s):  
Web Server ◽  
Experimental Results ◽  
Target Protein ◽  
Large Numbers ◽  
Eukaryotic Proteins ◽  
Major Bottleneck ◽  
Online Prediction ◽  
Medical Interest

The growth of diffracting crystals from purified proteins is often a major bottleneck in determining structures of biological and medical interest. ThePROSPEROweb server, http://skuld.bmsc.washington.edu/prospero, is intended both to provide a means of organizing the potentially large numbers of experimental characterizations measured from such proteins, and to provide useful guidance for structural biologists who have succeeded in purifying their target protein but have reached an impasse in the difficult and poorly understood process of turning purified protein into well diffracting crystals. These researchers need to decide which of many possible rescue options are worth pursuing, given finite resources. This choice is even more crucial when attempting to solve high-priority but relatively difficult structures of eukaryotic proteins. The site currently uses theHyGX1predictor, which was trained and validated on protein samples from pathogenic protozoa (eukaryotes) using results from six types of experiment.PROSPEROallows users to store, analyze and display multiple results for each sample, to group samples into projects, and to share results and predictions with collaborators.

DWT-BASED VIDEO DATA HIDING ROBUST TO MPEG COMPRESSION AND FRAME LOSS

2005 ◽  
Vol 05 (01) ◽  
pp. 111-133 ◽  
Author(s):  
HONGMEI LIU ◽  
JIWU HUANG ◽  
YUN Q. SHI
Keyword(s):  
Data Hiding ◽  
Random Noise ◽  
Data Retrieval ◽  
Video Data ◽  
Experimental Results ◽  
Data Detection ◽  
Discrete Wavelet ◽  
Magnitude Distribution ◽  
Embedding Strategy ◽  
Error Probabilities

In this paper, we propose a blind video data-hiding algorithm in DWT (discrete wavelet transform) domain. It embeds multiple information bits into uncompressed video sequences. The major features of this algorithm are as follows. (1) Development of a novel embedding strategy in DWT domain. Different from the existing schemes based on DWT that have explicitly excluded the LL subband coefficients from data embedding, we embed data in the LL subband for better invisibility and robustness. The underlying idea comes from our qualitative and quantitative analysis of the DWT coefficients magnitude distribution over commonly used images. The experimental results confirm the superiority of the proposed embedding strategy. (2) To combat temporal attacks, which will destroy the synchronization of hidden data that is necessary in data retrieval, we develop an effective temporal synchronization technique. Compared with the sliding correlation proposed in the existing algorithms, our synchronization technique is more advanced. (3) We adopt a new 3D interleaving technique to combat bursts of errors, while reducing random error probabilities in data detection by exploiting ECC (error correcting coding). The detection error rate with 3D interleaving is much lower than that without 3D interleaving when frame loss rate is below 50%. (4) Take a carefully designed measure in bit embedding to guarantee the invisibility of information. In experiments, we can embed a string of 402 bytes (excluding the redundant bits associated with ECC) in 96 frames of the CIF format sequence. The experimental results have demonstrated that the embedded information bits are perceptually transparent when the frames in the sequence are viewed either as still images or played continuously. The hidden information is robust to manipulations, such as MPEG-2 compression, scaling, additive random noise, and frame loss.

scholarly journals Light Field Image Coding with Image Prediction in Redundancy

2020 ◽  
Vol 2 (3) ◽  
pp. 160-167
Author(s):  
Prof. Sathish
Keyword(s):  
Image Coding ◽  
Light Field ◽  
Video Sequence ◽  
Data Representation ◽  
Experimental Results ◽  
Prediction Methods ◽  
Image Prediction ◽  
Full Capacity ◽  
Hybrid Data ◽  
Light Field Image

The proposed work involves a hybrid data representation using efficient light field coding. The existing light field coding solution are implemented using sub-aperture or micro-images. However, the full capacity in terms of intrinsic redundancy in light field images is not completely explored. This paper represents a hybrid data representation which explores four major redundancy types. Using coding block, the most predominant redundancy is exploited to find the optimum coding solution that provides maximum flexibility. To show how efficient the hybrid representation works, we have proposed a combination of pseudo-video sequence coding approach with pixel prediction methods. The observed experimental results shows a positive bit rate saving when compared to other similar methods. Similarly, the proposed method is also said to outperform other coding algorithms such as WaSP and MuLE when compared on a HEVC-based benchmark.

scholarly journals The status of causality in biological databases: data resources and data retrieval possibilities to support logical modeling

2020 ◽  
Author(s):  
Vasundra Touré ◽  
Åsmund Flobak ◽  
Anna Niarakis ◽  
Steven Vercruysse ◽  
Martin Kuiper
Keyword(s):  
Molecular Interactions ◽  
Regulatory Networks ◽  
Data Exchange ◽  
Contextual Information ◽  
Data Retrieval ◽  
Building Blocks ◽  
Data Representation ◽  
Biological Knowledge ◽  
Biological Databases ◽  
Knowledge Resources

Abstract Causal molecular interactions represent key building blocks used in computational modeling, where they facilitate the assembly of regulatory networks. Logical regulatory networks can be used to predict biological and cellular behaviors by system perturbations and in silico simulations. Today, broad sets of causal interactions are available in a variety of biological knowledge resources. However, different visions, based on distinct biological interests, have led to the development of multiple ways to describe and annotate causal molecular interactions. It can therefore be challenging to efficiently explore various resources of causal interaction and maintain an overview of recorded contextual information that ensures valid use of the data. This review lists the different types of public resources with causal interactions, the different views on biological processes that they represent, the various data formats they use for data representation and storage, and the data exchange and conversion procedures that are available to extract and download these interactions. This may further raise awareness among the targeted audience, i.e. logical modelers and other scientists interested in molecular causal interactions, but also database managers and curators, about the abundance and variety of causal molecular interaction data, and the variety of tools and approaches to convert them into one interoperable resource.

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