This HTML5 document contains 17 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

Prefix	IRI
dct	http://purl.org/dc/terms/
yago-res	http://yago-knowledge.org/resource/
dbo	http://dbpedia.org/ontology/
foaf	http://xmlns.com/foaf/0.1/
dbt	http://dbpedia.org/resource/Template:
rdfs	http://www.w3.org/2000/01/rdf-schema#
freebase	http://rdf.freebase.com/ns/
rdf	http://www.w3.org/1999/02/22-rdf-syntax-ns#
owl	http://www.w3.org/2002/07/owl#
n7	http://en.wikipedia.org/wiki/
dbc	http://dbpedia.org/resource/Category:
dbp	http://dbpedia.org/property/
prov	http://www.w3.org/ns/prov#
xsdh	http://www.w3.org/2001/XMLSchema#
gold	http://purl.org/linguistics/gold/
dbr	http://dbpedia.org/resource/

Statements

Subject Item

dbr:Web_query_classification

rdf:type

dbo:Disease

rdfs:label

Web query classification

rdfs:comment

A Web query topic classification/categorization is a problem in information science. The task is to assign a Web search query to one or more predefined categories, based on its topics. The importance of query classification is underscored by many services provided by Web search. A direct application is to provide better search result pages for users with interests of different categories. For example, the users issuing a Web query "apple" might expect to see Web pages related to the fruit apple, or they may prefer to see products or news related to the computer company. Online advertisement services can rely on the query classification results to promote different products more accurately. Search result pages can be grouped according to the categories predicted by a query classification al

owl:sameAs

yago-res:Web_query_classification freebase:m.03whhhg

dbp:wikiPageUsesTemplate

dbt:Reflist dbt:Internet_search dbt:Cleanup

dct:subject

dbc:Internet_search dbc:Information_retrieval_techniques

gold:hypernym

dbr:Problem

prov:wasDerivedFrom

n7:Web_query_classification?oldid=1057515505&ns=0

dbo:wikiPageID

16350490

dbo:wikiPageLength

9086

dbo:wikiPageRevisionID

1057515505

dbo:abstract

A Web query topic classification/categorization is a problem in information science. The task is to assign a Web search query to one or more predefined categories, based on its topics. The importance of query classification is underscored by many services provided by Web search. A direct application is to provide better search result pages for users with interests of different categories. For example, the users issuing a Web query "apple" might expect to see Web pages related to the fruit apple, or they may prefer to see products or news related to the computer company. Online advertisement services can rely on the query classification results to promote different products more accurately. Search result pages can be grouped according to the categories predicted by a query classification algorithm. However, the computation of query classification is non-trivial. Different from the document classification tasks, queries submitted by Web search users are usually short and ambiguous; also the meanings of the queries are evolving over time. Therefore, query topic classification is much more difficult than traditional document classification tasks.

foaf:isPrimaryTopicOf

n7:Web_query_classification