This study aimed to determine whether the reading skills of third-grade schoolchildren are associated with their preferences for semantic, phonological, and shape competitors (images or printed words) after being exposed to a spoken critical word. Two groups of children participated: skilled readers and less-skilled readers. Through a…

Latent Semantic Analysis (LSA) plays an important role in analyzing text data from education settings. LSA represents meaning of words and sets of words by vectors from a k-dimensional space generated from a selected corpus. While the impact of the value of k has been investigated by many researchers, the impact of the selection of documents and…

The Web allows self-navigated education through interaction with large amounts of Web resources. While enjoying the flexibility of Web tools, authors may suffer from research and filtering Web resources, when they face various resources formats and complex structures. An adaptation of extracted Web resources must be assured by authors, to give…

Describes the Belief Function Model for automatic indexing and ranking of documents which is based on a controlled vocabulary and on term frequencies in each document. Belief Function Theory is explained, and the Belief Function Model is compared to the Standard Vector Space Model. (17 references) (LRW)

Discusses the logical approach to information retrieval that treats retrieval as inference, considers probabilistic models for text retrieval, and presents an approach for combining Datalog (a variant of Horn predicate logic) with probabilistic theory using intentional semantics with logical rules. Discusses syntax and semantics and compares this…

Describes a study that investigated semantic relationships between citing and cited documents for a sample of document pairs in three journals in library and information science. Highlights include comparisons of Library of Congress classification numbers and subject descriptors; implications for collection development and relevance; and…

Discussion of image database systems focuses on semantic queries and shows how an image is abstracted into a hierarchy of entity names and features; how relations are established between entities visible in the image; and how a "fuzzy" matching technique is used to compare semantic queries to image abstractions. (Author/LRW)

Discussion of the use of information retrieval techniques for automatic generation of semantic hypertext links focuses on automatic text summarization. Topics include World Wide Web links, text segmentation, and evaluation of text summarization by comparing automatically generated abstracts with manually prepared abstracts. (Author/LRW)

Analyzes features of the Swedish language from the viewpoint of mono-and cross-language information retrieval. Results of a comparative study that tested the degree of lexical ambiguity in Swedish, Finnish, and English suggest that part-of-speech tagging might be useful in Swedish information retrieval due to the high frequency of homographic…

Describes experiments that compared a new method for automatically analyzing semantic structures in text by statistical means with the standard vector space model. Findings indicate that combining both methods improved performance over either alone. The effects of other experimental variables on retrieval performance (term weighting, suffix…

Includes six articles that discuss a digital library for astronomy; comparing evaluations of digital collection efforts; cross-organizational access management of Web-based resources; searching scientific bibliographic databases based on content-based relations between documents; semantics-sensitive retrieval for digital picture libraries; and…

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…