Currently the challenges in e-Learning are converging the learning content from various sources and managing them within e-learning practices. Data mining learning algorithms can be used and the contents can be converged based on the Metadata of the objects. Ensemble methods use multiple learning algorithms and it can be used to converge the…

Reliable and consistent time series are essential to any kind of economic forecasting. Skills forecasting needs to combine data from national accounts and labour force surveys, with the pan-European dimension of Cedefop's skills supply and demand forecasts, relying on different international classification standards. Sectoral classification (NACE)…

Purpose: The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS). Design/methodology/approach: The system is based on machine learning and performs automatic extraction…

Many web 2.0 sites are extremely popular and contain vast amounts of content, but how much of this content is useful in academia? This exploratory paper investigates the potential use of the popular web 2.0 image site Flickr as an academic image resource. The study identified images tagged with any one of 12 subject names derived from recognized…

Semantic integrity constraints are business-specific rules that limit the permissible values in a database. For example, a university rule dictating that an "incomplete" grade cannot be changed to an A constrains the possible states of the database. To maintain database integrity, business rules should be identified in the course of database…

Proposes that the development of document-retrieval systems can benefit from the incorporation of conceptual modeling techniques, specifically classification, aggregation, and generalization. An array model is presented which has been designed especially for document retrieval. (Author/EM)

Knowing how campus-based students engage in key online and general learning practices can play a central role in managing and developing university education. Knowledge in this area is limited, however, despite recent advances in student engagement research, and widespread adoption of online learning systems. This paper responds to the need to…

Shows how deductive data management techniques can be applied to the utilization of data value classifications in information retrieval. A representation of classifications which supports transitive computation is defined, and an operation-oriented deductive query language tailored for classification-based deductive information retrieval in fact…

Reports on two empirical studies that examined the nature and causes of information management indeterminism in an online research environment. A knowledge-based design for alleviating indeterminism which contains a system-generated thesaurus and an inferencing engine is proposed. (Contains 63 references.) (JLB)

Analyzes attributes of symbols and identifies the need for a suitable management system for retrieving images from a database. A classification structure that incorporates graphic, semantic, and bibliographic dimensions is described; experiments with describing, sorting, and drawing symbols are reviewed; and future work on a database management…

An automated list of bidders can be organized to provide an effective means of soliciting qualified suppliers to school districts. The system in Frederick County, Maryland, is described. (MLF)

Describes the categories of available information management software, and provides guidelines for needs assessment, software selection, testing, and evaluation. The annotated bibliography cites general discussions and program reviews for the following types of software: file management, general database management, bibliographic management,…

Data management challenges at the Pennsylvania State University are discussed, including providing user access to data, developing a classification system for data elements, eliminating the manual process for creating tailored user views, and developing data dictionary user enhancements. Solutions are provided to give insight into problem solving.…

Discusses criteria for evaluating microcomputer database management systems (DBMS) used for storage and retrieval of bibliographic data. Two popular types of microcomputer DBMS--file management systems and relational database management systems--are evaluated with respect to these criteria. (Author/MBR)

This interview with Bertrum MacDonald discusses the decisions that determined the character of a national bibliography on science and technology in Canadian history. Topics discussed include the scope of the project; classification and indexing decisions; the database management system used; unexpected problems; and predicted usage of the…