Full-text searching for managing a large number of documents

SAVVY SEARCHING Open access to scholarly full-text documents

Purpose – The purpose of this article is to discuss open access to scholarly full-text documents. Design/methodology/approach – Discusses open access to scholarly full-text documents. Findings – The paper shows that while open access archives are good for the majority, for publishers, editors and authors, open access articles can substantially increase their impact, and the impact factor for th...

Paragraph-based nearest neighbour searching in full-text documents

This paper discusses the searching of full-text documents to identify paragraphs that are relevant to a user request. Given a natural language query statement, a nearest neighbour search involves ranking the paragraphs comprising a full-text document in order of descending similarity with the query, where the similarity for each paragraph is determined by the number of keyword stems that it has...

Clustering Full Text Documents

An index or topic hierarchy of full-text documents can organize a domain and speed information retrieval. Traditional indexes, like the Library of Congress system or Dewey Decimal system, are generated by hand, updated infrequently, and applied inconsistently. With machine learning, they can be generated automatically, updated as new documents arrive, and applied consistently. Despite the appea...

Basic and Clinical Neuroscience, Volume 4, Number 2, Full Text

Basic and Clinical Neuroscience, Volume 4, Number 4, Full Text