Topic: information retrieval with queries

topics > computer science > information > Group: information retrieval

access by pattern matching
attribute-value pairs as information
database queries, joins, and relational algebra
definition by example
information retrieval by relevance
information retrieval by searching
information retrieval with an index
relational database
searching hypertext
signature files


A query is a request for information. It may consist of one or more terms, phrases, and boolean connectives. Google has proved the effectiveness of exact matching of all terms and phrases in a query.

Queries may be restricted to a category or site. They may be successively revised. Query terms may be weighted. (cbb 10/07)

Subtopic: query type up

Quote: nine query types for frequently-asked medical questions; e.g., treatment-problems and problem-preventive-actions [»pratW7_1999]

Subtopic: precision vs. recall up

Quote: high precision if narrow query, low precision if wide query [»saltG7_1986]
Quote: iterative search by identifying relevant and irrelevant documents; augment query with keywords from relevant documents [»saltG4_1970]

Subtopic: interactive retrieval up

Quote: the STAIRS study used interactive retrieval; searchers could revise their queries until they believed that they had retrieved all of the documents they wanted [»blaiDC1_1996]

Subtopic: inclusion/exclusion lists up

Quote: a Presto document collection is the documents in its inclusion list, plus those matching its query, minus those in its exclusion list [»dourP6_1999]

Subtopic: query by example up

Quote: in Lisa List, data formatting and querying done by example; can build expressions [»stewG3_1983]
Quote: a record file is a collection of fields; can display records in a table or as a form with fields; query by example [»smitDC4_1982]

Subtopic: queries for monitoring up

Quote: use TQuel for specifying monitored information by specifying the content of derived relations

Subtopic: implementation of queries up

Quote: assign a abstraction signature to each message; a query scans the signature file and rejects nonqualifying messages [»faloC7_1987]

Subtopic: weighting terms of a query up

Quote: better information retrieval if weight words by frequency of use [»krovR4_1992]
Quote: TF.IDF weighting for query words uses the frequency of a term in the document and its inverse frequency in the collection
Quote: no clear advantage for weighting query words by the number of senses they have [»krovR4_1992]

Subtopic: problems with term weighting up

Quote: vector space model does not work well on the web; returns short documents [»brinS4_1998]

Subtopic: problems with queries up

Quote: specific queries are inappropriate for broad information needs with many relevant documents [»pratW7_1999]
Quote: query word sense mismatches are far more likely to appear in nonrelevant documents than for relevant documents [»krovR4_1992]
Quote: link analysis algorithms find the Web context of a query; locate highly relevant pages that do not contain the actual query words [»boroA2_2005]
Quote: problem of manipulating search engines for profit; e.g., metadata is easily abused since it is invisible [»brinS4_1998]
Quote: 6% of Excite users used AND or "..."; 1% used parentheses

Related Topics up

Topic: access by pattern matching (18 items)
Topic: attribute-value pairs as information (57 items)
Topic: database queries, joins, and relational algebra (34 items)
Topic: definition by example (26 items)
Topic: information retrieval by relevance (33 items)
Topic: information retrieval by searching (35 items)
Topic: information retrieval with an index (32 items)
Topic: relational database (35 items)
Topic: searching hypertext (17 items)
Topic: signature files
(21 items)

Updated barberCB 7/04
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Thesa is a trademark of C. Bradford Barber.