scholarly journals BIBCON--A General Purpose Software System for MARC-Based Book Catalog Production

1973 ◽  
Vol 6 (4) ◽  
pp. 237
Author(s):  
Liz Gibson

<p class="p1">The BIBCON file <span class="s1">management </span>system, designed for use <span class="s1">on </span>IBM 360 <span class="s1">sys</span>tem <span class="s1">equipment, </span>performs two basic functions: (1) it creates MARC <span class="s1">struc</span>tured, bibliographic records from untagged input data; (2) from these records it produces page image output for book catalogs. The system accepts data from several different input <span class="s1">devices </span>and can produce a <span class="s1">variety </span>of <span class="s1">output </span>formats by line printer, photocomposition, <span class="s1">or computer </span>output microform (COM).</p>

2020 ◽  
Author(s):  
D. G. Ksenofontov ◽  
V. N. Kostin ◽  
M. N. Atlasov

Author(s):  
Y. C. Pao

Abstract A software package MenuCAD has been developed for the general need of designing menu-driven, user-friendly CAD computer programs. The main menu is formatted similar to the major contents in the final report of the design project including Contents, Analysis, Sample Design Cases, Illustrations and Tables, References, and Program Listings. Sub-menus are further divided into items delineating the steps involved in the design. Screen help messages are provided for design of the main menu and sub-menus interactively and for applying the arrow keys on the keyboard to select a sub-menus and a particular item in the sub-menu in order to execute a desired design step. MenuCAD builds the framework, its user has to supplement with a subroutine ExecItem for describing the special features and for directing how each design step should be executed in the project. A CAD design of four-bar linkage project is presented as a sample application of this package.


1986 ◽  
Vol 1 (3) ◽  
pp. 161-173
Author(s):  
Maria Adelaide Parisi ◽  
Daniel R. Rehak

Author(s):  
Troels Andreasen ◽  
Henrik Bulskov ◽  
Jørgen Fischer Nilsson

This paper describes principles and structure for a software system that implements a dialect of natural logic for knowledge bases. Natural logics are formal logics that resemble stylized natural language fragments, and whose reasoning rules reflect common-sense reasoning. Natural logics may be seen as forms of extended syllogistic logic. The paper proposes and describes realization of deductive querying functionalities using a previously specified natural logic dialect called Natura-Log. In focus here is the engineering of an inference engine employing as a key feature relational database operations. Thereby the inference steps are subjected to computation in bulk for scaling-up to large knowledge bases. Accordingly, the system eventually is to be realized as a general-purpose database application package with the database being turned logical knowledge base.


Author(s):  
Christopher H. Schmid ◽  
Gavin B. Stewart ◽  
Hannah R. Rothstein ◽  
Marc J. Lajeunesse ◽  
Jessica Gurevitch

To conduct a meta-analysis, a researcher will need software to perform all but the simplest calculations. Three types of software can be used, depending on user needs: a spreadsheet, a general purpose statistical package, and a program developed expressly to carry out meta-analysis. This chapter first reviews the stand-alone programs, then discusses the general purpose software, and finally briefly reviews two programs that can extract the data underlying a graphical display. Readers need to keep in mind that software features, cost, and availability all change fairly rapidly over time; while some of the specific information provided may soon be out of date, the general issues and principles discussed in choosing software for meta-analysis will have a longer half-life. Web searches, the Methods sections of recent research syntheses, and professional meetings where research synthesis results and methods are presented, are good resources for keeping up with both software availability and developments in methodology.


2012 ◽  
pp. 1779-1798
Author(s):  
Dumitru Dan Burdescu ◽  
Marian Cristian Mihaescu

Self-assessment is one of the crucial activities within e-learning environments that provide learners with feedback regarding their level of accumulated knowledge. From this point of view, the authors think that guidance of learners in self-assessment activity must be an important goal of e-learning environment developers. The scope of the chapter is to present a recommender software system that runs along the e-learning platform. The recommender software system improves the effectiveness of self-assessment activities. The activities performed by learners represent the input data and the machine learning algorithms are used within the business logic of the recommender software system that runs along the e-learning platform. The output of the recommender software system is represented by advice given to learners in order to improve the effectiveness of self-assessment process. The methodology for obtaining improvement of self-assessment is based on embedding knowledge management into the business logic of the e-learning platform. Naive Bayes Classifier is used as machine learning algorithm for obtaining the resources (e.g., questions, chapters, and concepts) that need to be further accessed by learners. The analysis is accomplished for disciplines that are well structured according to a concept map. The input data set for the recommender software system is represented by student activities that are monitored within Tesys e-learning platform. This platform has been designed and implemented within Multimedia Applications Development Research Center at Software Engineering Department, University of Craiova. Monitoring student activities is accomplished through various techniques like creating log files or adding records into a table from a database. The logging facilities are embedded in the business logic of the e-learning platform. The e-learning platform is based on a software development framework that uses only open source software. The software architecture of the e-learning platform is based on MVC (model-view-controller) model that ensures the independence between the model (represented by MySQL database), the controller (represented by the business logic of the platform implemented in Java) and the view (represented by WebMacro which is a 100% Java open-source template language).


Author(s):  
John S. Edwards

This chapter explains the role of knowledge management systems, whether technology-based or people-based, in service supply chain management. A systematic literature review was carried out to identify relevant examples of both successful and unsuccessful knowledge management systems. These are analyzed in terms of process, people and technology aspects, and the activities in the knowledge life-cycle (create, acquire, store, use, refine, transfer) that they support. These include systems used within a single organization, systems shared with supply chain partners, and systems shared with customers, the latter being the least common. Notable features are that more systems support knowledge exploitation than knowledge exploration, and that general-purpose software (e.g., internet search, database) is used more than software specific to knowledge management (e.g., data mining, “people finder”). The widespread use of mobile devices and social media offers both an opportunity and a challenge for future knowledge management systems development.


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