Purpose: With the advancement of novel forms of text mining techniques, new possibilities have opened up to conduct large-scale content analysis of educational research from an international and comparative perspective. Since educational research tends to convey great variation based on country-specific circumstances it constitutes a good testbed…

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…

Discussion of natural language processing components of information retrieval systems focuses on a full-text system called TOPIC (Text-Oriented Procedures for Information Management and Condensation of Expository Texts) that is based on text parsing. Highlights include design rationales for semantic parsing; text coherence; and a semantic model of…

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…

Discusses the automatic construction of abstracts from the texts of documents. Automatic sentence extraction is examined, including syntactic criteria and semantic relational criteria; textual cohesion is discussed, including the recognition of anaphors and noun phrases; text structure is addressed; and the concept of abstract-frames is described.…

Describes a conceptual Knowledge Representation Language (KRL) developed at the French National Center for Scientific Research, that is used for the construction and use of Large Knowledge Bases (LKBs) and/or Intelligent Information Retrieval Systems (IIRSs). Semantic factors are discussed, and the specialization hierarchies used are explained.…

Discusses and examines two approaches to concept-based retrieval of hypermedia information that improve a user's ability to navigate large systems--term indexing with semantically coupled thesauri and semantic hyperindexing. Visualization of index structures is discussed, and an example, the Cube of Contents retrieval model for the "Active…

Discusses hypertext and describes three abstract models that represent different levels in the design-decision process necessary for effective hypertext development. The use of information management software is discussed; combining hypertext and information retrieval models is considered; and opportunities for hypertext are described, including…

Discusses the interpretation of nominal compounds in the context of natural language processing for information retrieval. Knowledge-intensive algorithms that can successfully interpret compounds found in technical documents are described, and experiments are reported that indicate these algorithms may be unnecessary for improving retrieval…

Proposes an argumentation-based method for information retrieval that involves representing a scholarly article by means of rhetorical structure rather than by a semantic representation of content. Topics addressed include problems with indexing practices, the argumentative nature of articles, rhetoric as an information categorizing schema, and…

Reviews concepts proposed by researchers in linguistics, psychology, philosophy, and artificial intelligence, who have applied their knowledge and skills to the study of human information processing--i.e., memory content, storage, encoding, and retrieval. Guidelines derived from theory for use by instructional designers and subject specialists in…

Unlike conventional information retrieval systems, natural language processing (NLP) systems translate queries automatically into the language of the system. This paper discusses the potential impact of NLP on both the indexing and retrieval of text and examines some current NLP projects and systems that have established knowledge bases in narrow…

Describes a collaborative, reuse hypertext system, called MUCH (Many Using and Creating Hypertext). The novel browsing and retrieval characteristics of the system are based on a semantic net connecting documents, thesauri, and discussions. Word patterns are documented for reuse, creating and reorganizing network traversal according to user…

Describes SHRIF, a System for Heuristic Retrieval of Information and Facts, and the medical knowledge base that was used in its development. Highlights include design decisions; the user-machine interface, including the language processor; and the organization of the knowledge base in an artificial intelligence (AI) project like this one. (57…

Describes the development of a Unified Medical Language System (UMLS) by the National Library of Medicine that will retrieve and integrate information from a variety of information resources. Highlights include the metathesaurus; the UMLS semantic network; semantic locality; information sources map; evaluation of the metathesaurus; future…