The research in this dissertation consists of two parts: An active learning algorithm for hierarchical labels and an embedding-based retrieval algorithm. In the first part, we present a new approach for learning hierarchically decomposable concepts. The approach learns a high-level classifier (e.g., location vs. non-location) by separately…

Discusses the inclusion of contextual information in indexing and retrieval systems to improve results and the ability to carry out text analysis by means of linguistic knowledge. Presents research that investigated whether discourse variables have an impact on information and retrieval and classification algorithms. (Author/LRW)

An algorithm is proposed to solve the problem of sequential indexing which does not use any grammatical or semantic analysis, but follows the principle of emulating human judgement by evaluation of machine-recognizable attributes of structured word assemblies. (Author)

The implications of some major linguistic and semiotic concepts for the machine manipulation of natural language text are examined. It is proposed that the study of meaning should contribute to the development of sophisticated algorithms for machine indexing. (Author)

Discusses the role of search engines in Web usability and analyzes and evaluates the retrieval effectiveness of various indexing and searching strategies on a new Web text collection. Highlights include preprocessing techniques that might improve retrieval effectiveness; and hyperlinks as useful sources of evidence in improving retrieval…

Discussion of the failure of individual keywords to identify conceptual content of documents in retrieval systems highlights Metric Similarity Modeling, a method for creating vector space representation of documents based on modeling target interdocument similarity values. Semantic relatedness, latent semantic indexing, an indexing and retrieval…

Examines the retrieval effectiveness of five hierarchical clustering methods (single link, complete link, group average, Ward's method, and weighted average) as a function of indexing exhaustivity with four test collections. Evaluations of retrieval effectiveness are based on three measures of optimal retrieval performance. (Author/LRW)

Considers the need for keyphrase-extraction techniques in intelligent Chinese information retrieval and presents a PAT-tree-based adaptive approach, developed from the PATRICIA Algorithm (Practical Algorithm to Retrieve Information Coded in Alphanumeric). Discusses Internet utilization, automatic term suggestion, domain-specific lexicon…

A probabilistic model of keyword indexing is outlined, and some of the consequences of the model are examined. An algorithm defining a measure of indexability is developed--a measure intended to reflect the relative significance of words in documents. (Author)

High impact astronomy journals were identified by using a methodology called Discipline-Contribution Score (DCS). The DCS algorithm was used to track citations of 33 nonrecognized astronomy journals, as well as to measure contributions to astronomy by multisubfield physics and multidisciplinary journals. (JKP)

Presents a modification function for weights of descriptors for documents in fuzzy retrieval systems which includes some desirable properties that are lacking in the model proposed by Choros and Danilowicz in their study on relative indexing. (MBR)

Describes exploratory experiments in evaluating and improving a thesaurus through studying its effect on retrieval. A formula was developed to measure the conceptual distance between queries and documents encoded as sets of thesaurus terms. Comparison to the performance of people judging conceptual distance shows that the formula accurately…

THE OBJECTIVE OF THIS PROJECT WAS TO DEVISE AN ALGORITHM FOR A STEM RECOGNITION PROGRAM DESIGNED TO SEARCH FOR THE ROOT OF ANY HEBREW WORD AS WELL AS TO DETECT INNER CHANGES ON THE GIVEN ROOT. SUCH AN ALGORITHM COULD BE USED IN LIBRARY CATALOGING AND IN CREATING INDEXES AND CONCORDANCES OF TEXTS IN THE HEBREW LANGUAGE. IN THIS STUDY THE HEBREW…

Presents principles for determining profile of a system user based on analysis of co-occurrence of index terms in queries and pertinent documents. A procedure for determining index term weights, the information value of which depends on the degree of homogeneity of system users, is introduced. Three references are cited. (EJS)

Highlights semantic links and shows how the semantic content of hypertext links can be used for information retrieval. Discussion includes indexing and retrieval algorithms that exploit link content and node content; retrieval strategies exploiting semantic links, including conventional retrieval and constrained spreading activation techniques;…