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…

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)

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…

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…

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)

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…