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 Developing and Implementing a Conceptual Composite Materials Design Database

1993 ◽  
Author(s):  
William J. Rasdorf ◽  
Lisa K. Spainhour
Keyword(s):  
Composite Materials ◽  
Computer Technology ◽  
Data Model ◽  
Data Representation ◽  
Future Research ◽  
Clear Understanding ◽  
Analysis And Design ◽  
Problems And Solutions ◽  
Software Interfaces ◽  
Design Software

Abstract 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. Composite materials constitute a representational challenge due to their composition and use. However, this paper suggests that a conceptual composite material data model and application software interfaces must be developed to support the dissemination and use of composite materials data. 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. In addition, an effort is made to present possible solutions to these difficulties being suggested and/or implemented both by the authors and by other researchers in the field. Such an effort provides a firm foundation upon which future research may be based.

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 Development of parser agents for bibliographic data retrieval

2018 ◽  
Vol 33 (4) ◽  
Author(s):  
Murari Kumar ◽  
Samir Farooqi ◽  
K. K. Chaturvedi ◽  
Chandan Kumar Deb ◽  
Pankaj Das
Keyword(s):  
Retrieval System ◽  
Data Retrieval ◽  
Web Pages ◽  
Bibliographic Database ◽  
Bibliographic Information ◽  
Open Access Journals ◽  
Bibliographic Records ◽  
Bibliographic Data ◽  
Structured Information ◽  
The Web

Bibliographic data contains necessary information about literature to help users to recognize and retrieve that resource. These data are used quantitatively by a “Bibliometrician” for analysis and dissemination purpose but with the increasing rate of literature publication in open access journals such as Nucleic Acids Research (NAR), Springer, Oxford Journals etc., it has become difficult to retrieve structured bibliographic information in desired format. A digital bibliographic database contains necessary and structured information about published literature. Bibliographic records of different articles are scattered and resides on different web pages. This thesis presents the retrieval system for bibliographic data of NAR at a single place. For this purpose, parser agents have been developed which access the web pages of NAR and parse the scattered bibliographic data and finally store it into a local bibliographic database. Based on the bibliographic database, “three-tier architecture” has been utilized to display the bibliographic information in systematized format. Using this system, it would be possible to build the network between different authors and affiliations and also other analytical reports can be generated.

scholarly journals STATUS OF DATA RETRIEVAL SYSTEM AS OF APRIL 1, 1969

1969 ◽  
Author(s):  
R. L. Reynolds ◽  
R. L. Engel ◽  
R. T. Toyooka ◽  
E. L. Wells
Keyword(s):  
Retrieval System ◽  
Data Retrieval

Automation of Wind Pressure Computation Using a Data Management Approach

1993 ◽  
Author(s):  
Yamini Gourishankar ◽  
Frank Weisgerber
Keyword(s):  
Data Management ◽  
Data Retrieval ◽  
Design Guidelines ◽  
Database Management System ◽  
Information Modeling ◽  
Wind Pressure ◽  
Management Approach ◽  
Analysis And Design ◽  
Design Requirements ◽  
Wind Pressures

Abstract It is observed that calculating the wind pressures on structures involves more data retrieval from the ASCE standard than any subjective reasoning on the designer’s part. Once the initial design requirements are established, the procedure involved in the computation is straightforward. This paper discusses an approach to automate the process associated with wind pressure computation on one story and multi-story buildings using a data management strategy (implemented using the ORACLE database management system). In the prototype system developed herein, the designer supplies the design requirements in the form of the structure’s exposure type, its dimensions and the nature of occupancy of the structure. Using these requirements, the program retrieves the necessary standards data from an independently maintained database, and computes the wind pressures. The final output contains the wind pressures on the main wind force resisting system, and on the components and claddings, for wind blowing parallel and perpendicular to the ridge. The knowledge encoded in the system was gained from ASCE codes, design guidelines and as a result of interviews with various experts and practitioners. Several information modeling methodologies such as the entity relationship model, IDEF 1X, etc. were employed in the system analysis and design phase of this project. The prototype is implemented on an IBM PC using the ORACLE DBMS and the ‘C’ programming language. Appendix A illustrates a sample run.

Implementation of a Privacy Preserving and Loss Data Retrieval System for Cloud Environment

2020 ◽  
Author(s):  
Satti Rami Reddy ◽  
Satti Mouli Satti Reddy ◽  
Suja Cherukullapurath Mana ◽  
B.Keerthi Samhitha ◽  
Jithina Jose
Keyword(s):  
Retrieval System ◽  
Data Retrieval ◽  
Privacy Preserving ◽  
Cloud Environment ◽  
Loss Data

scholarly journals Retrieval Techniques and Graphics Displays using A Computerized Stellar Data Base

1977 ◽  
Vol 35 ◽  
pp. 161-166
Author(s):  
Jaylee Mead ◽  
Theresa A. Nagy
Keyword(s):  
Retrieval System ◽  
Data Entry ◽  
Data Retrieval ◽  
Full Data ◽  
Star Catalog ◽  
Remote Terminal ◽  
General Catalogue ◽  
Sky Survey ◽  
Plate Area ◽  
Star Catalogs

AbstractA computerized astronomical data retrieval system, based on the Goddard Cross Index of star catalogs and operable from a remote terminal, has been developed. It permits retrieval of stellar data as a function of the object’s identification numbers, descriptive parameters (magnitude and/or spectral type), or position in the sky. In addition, software has been developed to retrieve the full data entry from any of the eleven catalogs currently included in the Goddard Cross Index, such as the Yale Bright Star Catalog (YBS), the Boss General Catalog (GC), and others all in one computer run.Four catalogs (Smithsonian Astrophysical Observatory Star Catalog (SAO), The Revised New General Catalogue of Non-stellar Astronomical Objects (RNGC), Reference Catalogue of Bright Galaxies, and Two-Micron Sky Survey) have been sorted by Palomar Sky Survey plate area and precessed to the epoch of the specific plate. For any set of coordinates covered by the Palomar Survey and the Whiteoak Extension, the computer can provide all the plate numbers on which the position can be found. These plate areas can be immediately accessed by computer; listings or plots to any desired scale of any or all of the objects from the four catalogs can be provided.

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