About: Lexicographic information cost     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : owl:Thing, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)
QRcode icon
http://dbpedia.demo.openlinksw.com/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FLexicographic_information_cost&invfp=IFP_OFF&sas=SAME_AS_OFF

Lexicographic information cost is a concept within the field of lexicography. The term refers to the difficulties and inconveniences that the user of a dictionary believes or feels are associated with consulting a particular dictionary or dictionary article. For example, the extensive use of abbreviations in articles in order to save space may annoy the user, because it is often difficult to read such condensed texts and understand the abbreviations, thereby increasing the lexicographic .

AttributesValues
rdfs:label
  • Lexicographic information cost (en)
rdfs:comment
  • Lexicographic information cost is a concept within the field of lexicography. The term refers to the difficulties and inconveniences that the user of a dictionary believes or feels are associated with consulting a particular dictionary or dictionary article. For example, the extensive use of abbreviations in articles in order to save space may annoy the user, because it is often difficult to read such condensed texts and understand the abbreviations, thereby increasing the lexicographic . (en)
dcterms:subject
Wikipage page ID
Wikipage revision ID
Link from a Wikipage to another Wikipage
sameAs
dbp:wikiPageUsesTemplate
has abstract
  • Lexicographic information cost is a concept within the field of lexicography. The term refers to the difficulties and inconveniences that the user of a dictionary believes or feels are associated with consulting a particular dictionary or dictionary article. For example, the extensive use of abbreviations in articles in order to save space may annoy the user, because it is often difficult to read such condensed texts and understand the abbreviations, thereby increasing the lexicographic . The important point in connection with lexicographic information costs is the relation between the information costs anticipated by the user and the information value the user expects to gain from consulting a dictionary or dictionary article. The more easily a user can navigate a dictionary and its articles, the lower the information costs and, hopefully, the more content with the dictionary the user will be. The higher the information costs of a dictionary, the more dissatisfied the user will be. There are two general types of lexicographic information costs: 1. * the search costs are the efforts required by users when searching for something in dictionaries, i.e., the look-up activities required to find what they are looking for; and 2. * the comprehension costs, which are the efforts required by users to understand and interpret the data in dictionaries. The concept of lexicographic information costs was first proposed by the Danish scholar and metalexicographer Sandro Nielsen (see below). The concept is relevant to lexicographers when planning and compiling a dictionary; for the users when consulting the dictionary; and for reviewers when evaluating a dictionary. (en)
gold:hypernym
prov:wasDerivedFrom
page length (characters) of wiki page
foaf:isPrimaryTopicOf
is Link from a Wikipage to another Wikipage of
is Wikipage redirect of
is foaf:primaryTopic of
Faceted Search & Find service v1.17_git139 as of Feb 29 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (378 GB total memory, 59 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software