Models of collaborative tagging (original) (raw)
Collaborative tagging, also known as social tagging or folksonomy, allows users to apply public tags to online items, typically to make those items easier for themselves or others to find later. It has been argued that these tagging systems can provide navigational cues or "way-finders" for other users to explore information. The notion is that given that social tags are labels users create to represent topics extracted from online documents, the interpretation of these tags should allow other users to predict the contents of different documents efficiently. Social tags are arguably more important in exploratory search, in which the users may engage in iterative cycles of goal refinement and exploration of new information (as opposed to simple fact-retrievals), and interpretation of inform
| Property | Value |
|---|---|
| dbo:abstract | Collaborative tagging, also known as social tagging or folksonomy, allows users to apply public tags to online items, typically to make those items easier for themselves or others to find later. It has been argued that these tagging systems can provide navigational cues or "way-finders" for other users to explore information. The notion is that given that social tags are labels users create to represent topics extracted from online documents, the interpretation of these tags should allow other users to predict the contents of different documents efficiently. Social tags are arguably more important in exploratory search, in which the users may engage in iterative cycles of goal refinement and exploration of new information (as opposed to simple fact-retrievals), and interpretation of information contents by others will provide useful cues for people to discover topics that are relevant. One significant challenge that arises in social tagging systems is the rapid increase in the number and diversity of tags. As opposed to structured annotation systems, tags provide users an unstructured, open-ended mechanism to annotate and organize web content. As users are free to create any tag to describe any resource, it leads to what is referred to as the vocabulary problem. Because users may use different words to describe the same document or extract different topics from the same document based on their own background knowledge, the lack of any top-down mediation may lead to an increase in the use of incoherent tags to represent the information resources in the system. In other words, the lack of structure inherent in social tags may hinder their potential as navigational cues for searchers because the diversities of users and their motivation may lead to diminishing tag-topic relations as the system grows. However, a number of studies have shown that structures do emerge at the semantic level – indicating that there are cohesive forces driving the emergent structures in a social tagging system. (en) |
| dbo:wikiPageID | 24574814 (xsd:integer) |
| dbo:wikiPageLength | 22201 (xsd:nonNegativeInteger) |
| dbo:wikiPageRevisionID | 1088888591 (xsd:integer) |
| dbo:wikiPageWikiLink | dbr:Behavioral_pattern dbr:Power_law dbr:Blogs dbr:Del.icio.us dbr:Descriptive_statistics dbr:Complex_system dbr:Conditional_entropy dbr:Crowdsourcing dbc:Emergence dbr:Self-organization dbr:Mutual_information dbr:Stochastic dbr:Tag_(metadata) dbc:Social_bookmarking dbr:Web_content dbr:Hashtag dbr:Latent_semantic_analysis dbc:Collaboration dbc:News_aggregators dbr:Ajax_(programming) dbc:Folksonomy dbr:Folksonomy dbr:Social_collaboration dbc:Crowdsourcing dbc:Metadata dbr:Collaborative_filtering dbr:Ed_Chi dbr:Social_phenomena dbr:Human–computer_interaction dbr:Information_theory dbr:Reading_comprehension dbr:Recommender_system dbr:Semantics dbr:Exploratory_search dbr:Knowledge_tagging dbr:Predictive_model dbr:Probabilistic_topics_model |
| dbp:date | October 2019 (en) |
| dbp:reason | What is this? (en) Give the reader more context. What does this formula mean? Possibly change it to a math expression. Also check if the formula is correct. Is it supposed to be a semicolon? (en) |
| dbp:wikiPageUsesTemplate | dbt:Citation_needed dbt:Clarify dbt:Essay-like dbt:More_citations_needed_section dbt:Multiple_issues dbt:Original_research dbt:Reflist dbt:Short_description |
| dct:subject | dbc:Emergence dbc:Social_bookmarking dbc:Collaboration dbc:News_aggregators dbc:Folksonomy dbc:Crowdsourcing dbc:Metadata |
| rdfs:comment | Collaborative tagging, also known as social tagging or folksonomy, allows users to apply public tags to online items, typically to make those items easier for themselves or others to find later. It has been argued that these tagging systems can provide navigational cues or "way-finders" for other users to explore information. The notion is that given that social tags are labels users create to represent topics extracted from online documents, the interpretation of these tags should allow other users to predict the contents of different documents efficiently. Social tags are arguably more important in exploratory search, in which the users may engage in iterative cycles of goal refinement and exploration of new information (as opposed to simple fact-retrievals), and interpretation of inform (en) |
| rdfs:label | Models of collaborative tagging (en) |
| owl:sameAs | freebase:Models of collaborative tagging wikidata:Models of collaborative tagging https://global.dbpedia.org/id/4s7JQ |
| prov:wasDerivedFrom | wikipedia-en:Models_of_collaborative_tagging?oldid=1088888591&ns=0 |
| foaf:isPrimaryTopicOf | wikipedia-en:Models_of_collaborative_tagging |
| is dbo:wikiPageWikiLink of | dbr:Information_foraging dbr:Crowdsourcing dbr:Hashtag dbr:Folksonomy dbr:Collective_intelligence dbr:Social_bookmarking dbr:Exploratory_search dbr:Technorati |
| is foaf:primaryTopic of | wikipedia-en:Models_of_collaborative_tagging |