The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…

Introduction: Research and theory on the topics of information seeking and retrieval have been plagued by some fundamental problems for several decades. Many of the difficulties spring from mechanistic and instrumental thinking and modelling. Method: Existing models of information retrieval and information seeking are examined for efficacy in a…

This dissertation explores the use of geometric and graphical models for a variety of information search and filtering applications. These models serve to provide an intuitive understanding of the problem domains and as well as computational efficiencies to our solution approaches. We begin by considering a search and rescue scenario where both…

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…

With the increasing wealth of information on the Web, information integration is ubiquitous as the same real-world entity may appear in a variety of forms extracted from different sources. This dissertation proposes supervised and unsupervised algorithms that are naturally integrated in a scalable framework to solve the entity resolution problem,…

Today, search engines are embedded into all aspects of digital world: in addition to Internet search, all operating systems have integrated search engines that respond even as you type, even over the network, even on cell phones; therefore the importance of their efficacy and efficiency cannot be overstated. There are many open possibilities for…

The retrieval decision problem is considered from the viewpoint of a decision theory approach. A threshold rule based on earlier rules for indexing decisions is considered and analyzed for retrieval decisions as a measure of retrieval performance. The threshold rule is seen as a good descriptive design measure of what a reasonable retrieval system…

Discusses precision and recall in information science and proposes a new model based on fractal geometry for clusters of relevant documents. Search strategies for retrieving a group of relevant documents are reviewed; fractal sets and chaotic processes are described; and the new model is explained. (Contains 43 references.) (LRW)

Reports results from a study exploring the information retrieval (IR) and types of interactive feedback during mediated IR. Five types of interactive feedback were identified, extending the interactive IR model to include relevance, magnitude, and strategy interactive feedback. Implications for further research investigating the nature and models…

This paper describes research being carried out at the Ohio State University leading toward a general theory of information flow and analysis. The objectives of this program sponsored by the National Science Foundation include the following: (1) to develop a theory of information flow and analysis; (2) to identify important parameters and…

This study examines research that is part of an alternative paradigm in information needs and uses assessment. Approaches in the alternative paradigm include Sense-Making, Value-Added, and Anomalous States of Knowledge. From an analysis of these approaches and related research, a conceptual model has been developed. The model focuses on several…

In a document retrieval, or other pattern matching environment where stored entities (documents) are compared with each other, or with incoming patterns (search requests), it appears that the best indexing (property) space is one where each entity lies as far away from the others as possible; that is, retrieval performance correlates inversely…

Explores the role of paradigms in information retrieval research and discusses the nature of a paradigm and the applicability of the paradigm concept to a multidisciplinary field such as information science. The features of the physical paradigm and the cognitive paradigm are outlined, and their origins, nature, and role are examined. (55…

Discusses the traditional Cranfield model for information retrieval (IR) evaluation, problems with the model, and extensions and alternatives to Cranfield; describes emerging themes in IR evaluation, including multiple evaluation dimensions and methods, inclusion of users and other stakeholders in the evaluation process, and various approaches to…

The idea of pseudo-classification based on external relevance was introduced and compared with the usual classifications using associative techniques. A general model for an information retrieval system using term classification was described. A set of operators for adjusting pseudo-classifications and preventing their deterioration was derived…