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…

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…

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…

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…

Presents a literature review that covers the following topics related to Latent Semantic Analysis (LSA): (1) LSA overview; (2) applications of LSA, including information retrieval (IR), information filtering, cross-language retrieval, and other IR-related LSA applications; (3) modeling human memory, including the relationship of LSA to other…

Presents a model that distinguishes between data as directly observable facts, information as structured collections of data, and knowledge as methods of using information. The discussion covers the likely benefits of the use of the model for a semantic information retrieval system using the concept of semantic categories. (28 references)…

Discussion of information and information retrieval focuses on the connection between a calculus defined on channels and information retrieval, and proposes a model of an information retrieval system based on this calculus. Topics include conditionality, situation theory, the flow of information, channel theory, and four principles for an…

Information retrieval (IR) is driven by a process that decides whether a document is about a query. The purpose of this article is to consider "aboutness" from a fundamental, neutral perspective, to shed light on the nature of aboutness by formalizing properties describing it, and to define a set of reasonable properties of aboutness,…

These lectures consider the information concept as well as the epistemological foundations of information science. The first lecture discusses the epistemological roots of the information concept and the hermeneutical paradigm within modern epistemology. Particular attention is given to the roots of the information concept in everyday English. An…