Taxonomy for search engines refers to classification methods that improve relevance in
vertical search. Taxonomies of entities are tree structures whose nodes are labelled with entities likely to occur in a
web search query. Searches use these trees to match keywords from a search query to keywords from answers (or snippets).
Taxonomies,
thesauri and
concept hierarchies are crucial components for many applications of
information retrieval
Information retrieval (IR) in computing and information science is the task of identifying and retrieving information system resources that are relevant to an Information needs, information need. The information need can be specified in the form ...
,
natural language processing
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence. It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related ...
and
knowledge management
Knowledge management (KM) is the set of procedures for producing, disseminating, utilizing, and overseeing an organization's knowledge and data. It alludes to a multidisciplinary strategy that maximizes knowledge utilization to accomplish organ ...
. Building, tuning and managing taxonomies and ontologies are costly since a lot of manual operations are required. A number of studies proposed the
automated building of taxonomies based on linguistic resources and/or statistical machine learning. A number of
tools using SKOS standard (including Unilexicon,
PoolParty and Lexaurus editor to name a few) are also available to streamline work with taxonomies.
References
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See also
*
Feature extraction
Feature may refer to:
Computing
* Feature recognition, could be a hole, pocket, or notch
* Feature (computer vision), could be an edge, corner or blob
* Feature (machine learning), in statistics: individual measurable properties of the phenome ...
Internet search engines