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Kevin P. Jones

Researcher at The Hertz Corporation

Publications -  7
Citations -  39

Kevin P. Jones is an academic researcher from The Hertz Corporation. The author has contributed to research in topics: Inverted index & Heuristics. The author has an hindex of 4, co-authored 7 publications receiving 39 citations.

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Journal ArticleDOI

Towards everyday language information retrieval systems via minicomputers

TL;DR: MORPHS‐Minicomputer Operated Retrieval (Partially Heuristic) System incorporates a number of linguistic features including the ability to find roots of words through affix stripping and several search strategies (including SDI) are available.
Journal ArticleDOI

A Minicomputer Retrieval System with Automatic Root Finding and Roling Facilities

TL;DR: A number of novel automatic features have been incorporated in the retrieval system input, including the reduction of index entries to their singular root forms, the elimination of redundant words and the auto‐roling of words through their morphology.
Proceedings ArticleDOI

The automatic extraction of words from texts especially for input into information retrieval systems based on inverted files

TL;DR: This system was developed to operate on abstracted texts, but is being modified to handle more extended texts either for input into an inverted file or as a stage in creating pre-coordinate indexes.
Journal ArticleDOI

Compound words: A problem in post‐coordinate retrieval systems

TL;DR: These syntactic influences, together with some of the philosophy from earlier studies, have been combined to produce a set of rules which have greatly eased decision making and have enabled the thesaural vocabulary to be made more consistent.
Journal ArticleDOI

The development of a highly interactive searching technique for morphs—Minicomputer operated retrieval (partially heuristic) system

TL;DR: The basic structure of MORPHS was described at the Fifth Cranfield Conference when emphasis was placed on the automatic root finding/role applying procedures based on linguistic principles, but this skeleton remains, but it has since been clothed with relatively complex, iterative search strategies.