Our aim in this paper is to improve the efficiency of a learning process by using learners' traces to detect particular needs. The analysis of the semantic path of a learner or group of learners during the learning process can allow detecting those students who are in needs of help as well as identify the insufficiently mastered concepts. We…

The objective of this article is to analyze the searching and indexing techniques of educational search engines' implementation while treating future challenges. Educational search engines could greatly help in the effectiveness of e-learning if used correctly. However, these engines have several gaps which influence the performance of e-learning…

This research improves the precision of information extraction from free-form text via the use of cognitive-based approaches to natural language processing (NLP). Cognitive-based approaches are an important, and relatively new, area of research in NLP and search, as well as linguistics. Cognitive approaches enable significant improvements in both…

The wide variety of readily available electronic media grants anyone the freedom to retrieve published references from almost any area of research around the world. Despite this privilege, keeping up with primary research evidence is almost impossible because of the increase in professional publishing across disciplines. Systematic reviews are a…

With the advent of the Web, the notion of "information retrieval" has acquired a completely new connotation and currently encompasses several disciplines ranging from traditional forms of text and data retrieval in unstructured and structured repositories to retrieval of static and dynamic information from the contents of the surface and deep Web.…

The tremendously huge volume of biomedical literature, scientists' specific information needs, long terms of multiples words, and fundamental problems of synonym and polysemy have been challenging issues facing the biomedical information retrieval community researchers. Search engines have significantly improved the efficiency and effectiveness of…

Purpose: This paper aims to present the semantic content identifier (SCI), a permanent identifier, computed through a linear-time onion-peeling algorithm that enables the extraction of semantic features from a text, and the integration of this information within the permanent identifier. Design/methodology/approach: The authors employ SCI to…

Reports preliminary results of a research project that investigated the effectiveness of a new technique for information retrieval interfaces called colinked descriptors, based on the concept of cocited references in the field of bibliometrics. Examples of colinked descriptors from the "Thesaurus of ERIC Descriptors" are presented.…

Discussion of the use of Latent Semantic Indexing to determine relevancy in information retrieval focuses on statistical regression and Bayesian methods. Topics include keyword searching; a multiple regression model; how the regression model can aid search methods; and limitations of this approach, including complexity, linearity, and…

Describes two experiments that investigated the influence of textual factors on the perception of bibliographic records. Topics include index descriptors; term overlap; extent of semantic distance; direction of semantic distance; generic trees of descriptors; relevance perception; and implications for the design of information retrieval…

Discusses latent semantic indexing (LSI); considers the high cost associated with the singular value decomposition (SVD) of the large term-by-document matrix that becomes a barrier for its application to scalable information retrieval; and shows that information filtering using level search techniques can reduce the SVD computation cost for LSI.…

The main method of locating information on the World Wide Web is to use a search engine. Given a set of terms, a search engine will return a list of documents containing those terms. Often, though, this list of documents is extremely large. Unfortunately, there are currently no tools to assist the information seeker in determining whether these…

PRECIS, The Preserved Context Index System, is explained in detail. (AP)

Discussion of models for indexing and searching information resources on the Internet focuses on the results of a simple query on a number of existing search systems and on two proposed index metadata structures for indexing and supporting search and discovery: the Dublin Core Elements List and the Semantic Header. (52 references) (Author/LRW)

Describes a method based on Bayesian networks for searching hypertext systems. Discussion covers the use of Bayesian networks for structuring index terms and representing user information needs; use of link semantics based on constrained spreading activation to find starting points for browsing; and evaluation of a prototype system. (64…