With the rapid development of Internet technologies, distance education has become a popular educational mode. In this paper, the authors propose an online image automatic annotation distance education system, which could effectively help children learn interrelations between image content and corresponding keywords. Image automatic annotation is…

The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…

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…

The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…

The 31 papers in this proceedings cover social as well as technical issues, mathematical models and formal logic systems, applications descriptions, program design, cost analysis, and predictions. The papers are grouped into sessions including: privacy and information technology, describing documents, information dissemination systems, public and…

Examines early and current approaches to automatic thesaurus construction and describes an approach to automatic generation of global thesauri based on the term discrimination value model and on an appropriate clustering algorithm. Preliminary results of implementation of the method are reported. (46 references) (Author/MES)

Describes an information retrieval methodology based on relevance weighting of search terms in pairs of documents. The vector space model of information retrieval is reviewed, the Bayesian model of text retrieval is discussed, and an automatic implementation of weight estimation using the Medline database is described. (16 references) (LRW)

Presents an approach for dynamic database integration and query processing in the absence of information about attribute correspondences and global IDs. Defines different types of equivalence conditions for the construction of global IDs. Proposes a strategy based on ranked role-sets that makes use of an automated semantic integration procedure…

It is the purpose of this study to provide fresh insight into the nature of library problems by systematically studying the question of size in various information contexts. In the introduction, the role that size plays from the user's point of view is illustrated. In the following sections, a study of the card catalogue, the classification system…

Most existing automatic content analysis and indexing techniques are based on work frequency characteristics applied largely in an ad hoc manner. Contradictory requirements arise in this connection, in that terms exhibiting high occurrence frequencies in individual documents are often useful for high recall performance (to retrieve many relevant…

A simulation study of library-based information retrieval systems is described. Basic models for each of several important aspects are presented: (1) user behavior, emphasizing response to quality and delays in services; (2) the scheduling of services and the organization of the machine-readable files; and (3) the distribution of conventional…

Describes an approach to electronic document delivery which has evolved at Tilburg University (Netherlands), leading to the development of a system called Ariadne. Highlights include various generations of electronic document delivery systems; standards, including the work of the Group on Electronic Document Interchange; and a description of the…

Presents an interaction model and an experimental method for information retrieval. This automated method helps identify which user and system variables are relevant, which are independent of other variables, and which ranges of the variables are most important. Results show that relevance feedback consistently improves retrieval performance. (AEF)

The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…

The Subject Access Research Project was initiated by OCLC in August 1979 to study the process of subject searching in the library catalog, with the objective of identifying features for an automated subject retrieval system which would support the present search tactics employed by library users performing manual subject searches at the library…