The relative retrieval performances of the CA Integrated Subject File (CAISF), CA Condensates, and a Merged File created from these two data bases were measured. Retrieval performance is reported in terms of recall, precision values, and costs. (Author/JB)

Minimum, maximum, and average lengths and frequency counts for the data elements in the Chemical Substance and General Subject segments of the Standard Distribution Format (SDF) files distributed by Chemical Abstracts Service are presented. (5 references) (Authors)

An evaluation of graph theoretical clusters of index terms which can be extracted from an automatically indexed document collection, and the effects of employing such clusters in automatic document retrieval are described. (19 references) (Author)

Some problems encountered with the ERIC indexing system in efforts to retrieve information from the ERIC files are discussed. (4 references) (Author/NH)

The experimental best match information retrieval system described is based on serial file organization. Documents and queries are characterized by fixed length bit strings (generated by automatic and manual methods) and character-by-character term match is preceeded by bit string search to eliminate documents which cannot satisfy query.…

An iterative method for information retrieval is presented using searchonyms found from previously retrieved set of documents in query expansion. Large operational bibliographic databases are used to simulate behavior of this method which selects most informative features as searchonyms to be used in query reformulation. Ten references are listed.…

Considers patent subject searching capabilities of major online databases, noting patent claims, "deep-indexed" files, test searches, retrieval of related references, multi-database searching, improvements needed in indexing of chemical structures, full text searching, improvements needed in handling numerical data, and augmenting a…

Introduces methods designed to reduce role of search intermediaries by generating Boolean search formulations automatically using term frequency considerations from natural language statements provided by system patrons. Experimental results are supplied and methods are described for applying automatic query formulation process in practice.…

Addresses problem of developing machine-based information system capable of indicating one document, out of a set of documents written in natural language, which shows maximal degree of homeosemy (relationship in meaning between two texts language-fragments ) toward natural language query. Linguistic aspects, information traces, trigrams,…

Results of an experimental study of the retrieval effectiveness of computer-recognized citing statements indicate that average recall for eight retrieval requests by search of indexing and abstract text words was 50 percent. Addition of words from citing statements referring to papers to be retrieved increased average recall to 70 percent.…

Outlines an approach to information retrieval which integrates the existing theory of probabilistic retrieval into a practical methodology based on Boolean searches. Basic concepts, search methodology, and examples of Boolean searching are noted. Twenty-six sources are appended. (EJS)

Reports on a comparative study of the postcoordinate retrieval effectiveness of Library of Congress Subject Headings and the Preserved Context Indexing System (PRECIS). Data are presented in six tables and one figure, and a reference list is included. (Author/JL)

Summarizes studies of pseudoclassification, a process of utilizing user relevance assessments of certain documents with respect to certain queries to build term classes designed to retrieve relevant documents. Conclusions are reached concerning the effectiveness and feasibility of constructing term classifications based on human relevance…

Discussion of evaluation methodology in information retrieval focuses on the average precision over a set of fixed recall values in an effort to evaluate the retrieval effectiveness of a search algorithm. Highlights include a review of traditional evaluation methodology with examples; and a statistical inference methodology called bootstrap.…

Describes the EurekaSeek bibliometric technique for automated linked-literature analysis. EurekaSeek uses medical subject headings instead of text analysis in a fully automated search process, thereby eliminating the reliance on expert input during the process of linking literatures. In this paper, EurekaSeek is tested by retroactively examining…