The inverted index is the main data structure used by all the major search engines. Search engines build an inverted index on their collection to speed up query processing. As the size of the web grows, the length of the inverted list structures, which can easily grow to hundreds of MBs or even GBs for common terms (roughly linear in the size of…

Examines the knowledge base of an intermediary expert system that provides advice about search term selection. Topics include a proposal for an integrated approach, including an option focusing on terminological attributes based on knowledge acquired from professional searchers; and the content of the knowledge base and the research needed to…

Describes a framework for building "story traces" (compact global views of a narrative) and "story projects" (selections of key elements of a narrative) and their applications in text understanding and classification. The resulting "abstract story traces" provide a compact view of the underlying narrative's key…

This paper compares the subject indexing on articles pertaining to Immanuel Kant, agriculture, and aging that are found simultaneously in Humanities Index, Academic Search Elite (EBSCO) and Periodicals Research II (Micromedia ProQuest), in order to show that there are substantial variations in the depth and quality of indexing in these databases.…

The issue of free-text versus controlled vocabulary is examined. The history of the issue, which is seen as beginning with the debate over title term indexing in the nineteenth century, is reviewed and questions not satisfactorily addressed by previous research are raised. (Author/EM)

Argues that online indexing has great potential as a tool for information retrieval, and can be most effective when approached as a combination of traditional indexing and computer search capabilities. Argues that a good online index is specifically designed to be searched. Offers an overview of how to design such an online index. (SR)

Presents a general overview of the development of Information Science Abstracts. The historical perspective, including the contributions of individuals and institutions, is discussed; its coverage is compared with that of other information science databases; and retrieval capabilities are described. (four references) (Author/CLB)

Describes methods for applying natural-language processing for automatic concept-based indexing of full text and methods for exploiting the structure and hierarchy of full-text documents to a large collection of full-text documents drawn from the Health Services/Technology Assessment Text database at the National Library of Medicine. Examines how…

Content-based image retrieval is based on the idea of extracting visual features from images and using them to index images in a database. Proposes similarity measures and an indexing algorithm based on information theory that permits an image to be represented as a single number. When used in conjunction with vectors, this method displays…

Description of a computer system that converts text automatically into a form suitable for browsing and consultation online focuses on its use for online documentation. Also discussed are possibilities for its applications in automatic indexing, index access, and authoring systems for computer-assisted instruction (CAI). (four references)…

Presents a statistical learning approach to assigning controlled index terms that consists of the learning process and the indexing process. A learning feedback technique is also introduced. Experimental results show that the statistical learning approach and the learning feedback technique are practical means to automatic indexing of controlled…

Proposes methods to utilize image primitives to support term assignment for image classification. Proposes to release code for image analysis in a common tool set for other researchers to use. Of particular focus is the expansion of work by researchers in image indexing to include image content-based feature extraction capabilities in their work.…

This paper presents the most important concepts and techniques to use in successfully searching the major World Wide Web search engines and directories, explains the basics of how search engines work, and describes what is included in their indexes. Following an introduction that gives an overview of Web directories and search engines, the first…

The purpose of this research is to investigate indexing issues that pertain to the development of digital libraries, including: the identification of sublanguage vocabulary; domain-specific indexing; and other indexing tools. Thesauri are needed for digital libraries in order to improve end-user access. To demonstrate the importance of thesauri to…

Reports on work at the University of California, Berkeley, on the design and development of English-language indices to metadata vocabularies. Discusses the significance of unfamiliar metadata and describes the Entry Vocabulary Module which helps searchers to be more effective and increases the return on the original investment in generating…