Topic
Concept search
About: Concept search is a research topic. Over the lifetime, 4041 publications have been published within this topic receiving 125255 citations.
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Patent•
27 Jul 2000
TL;DR: In this paper, a concept-based indexing and search system for documents with ontology-based predicate structures is proposed, which extracts the concepts behind user queries to return only those documents that match those concepts.
Abstract: A concept-based indexing and search system indexes collections of documents with ontology-based predicate structures through automated and/or human-assisted methods. The system extracts the concepts behind user queries to return only those documents that match those concepts. The concept based search and retrieval system comprehends the intent behind a query from a user, and returns results matching that intent. The system can perform off-line searches for unanswered user queries and notify the user when a match is found.
774 citations
Book•
01 Jan 1992
TL;DR: This electronic version was converted to PDF from the original manuscript with no changes apart from typographical adjustments and it has been ensured that the page numbering of the electronic version matches that of the printed version.
Abstract: Information Retrieval Interaction was first published in 1992 by Taylor Graham Publishing. This electronic version, published in 2002, was converted to PDF from the original manuscript with no changes apart from typographical adjustments. It has been ensured that the page numbering of the electronic version matches that of the printed version. Both versions can therefore be cited as:
730 citations
PARC1
TL;DR: This paper argues for making use of text structure when retrieving from full text documents, and presents a visualization paradigm, called TileBars, that demonstrates the usefulness of explicit term distribution information in Boolean-type queries.
Abstract: The field of information retrieval has traditionally focused on textbases consisting of titles and abstracts. As a consequence, many underlying assumptions must be altered for retrieval from full-length text collections. This paper argues for making use of text structure when retrieving from full text documents, and presents a visualization paradigm, called TileBars, that demonstrates the usefulness of explicit term distribution information in Boolean-type queries. TileBars simultaneously and compactly indicate relative document length, query term frequency, and query term distribution. The patterns in a column of TileBars can be quickly scanned and deciphered, aiding users in making judgments about the potential relevance of the retrieved documents.
715 citations
TL;DR: The text analysis problem is examined, and modern approaches leading to the identification and retrieval of selected text items in response to search requests are discussed.
Abstract: Recent developments in the storage, retrieval, and manipulation of large text files are described. The text analysis problem is examined, and modern approaches leading to the identification and retrieval of selected text items in response to search requests are discussed.
661 citations