Add to ORKGThe web is continuously evolving into a collection of many data, which results in the interest to collect and merge these data in a meaningful way. Based on that web data, this paper describes the building of an ontology resting on fuzzy clustering techniques. Through continual harvesting folksonomies by web agents, an entire automatic fuzzy grassroots ontology is built. This self-updating ontology can then be used for several practical applications in fields such as web structuring, web searching and web knowledge visualization.A potential application for online reputation analysis, added value and possible future studies are discussed in the conclusion
[[abstract]]The Fuzzy-Go search engine develops a fuzzy ontology to capture the similarities of term...
In his in uential article about the evolution of the Web, Berners-Lee [1] envisions a Semantic Web i...
The fuzzy online reputation analysis framework, or ―foRa ‖ (plural of forum, the Latin word for mark...
This paper presents fuzzy clustering algorithms to establish a grassroots ontology – a machine-gene...
Online reputation management deals with monitoring and influencing the online record of a person, an...
The Social Web offers increasingly simple ways to publish and disseminate personal or opinionated in...
Fuzzy ontology is a generalization of crisp ontology for modeling uncertain information and has been...
Traditionally, ontologies describe knowledge representation in a denotational, formalized, and deduc...
The web is becoming more participatory and information is more easily shared. However, great potenti...
Abstract—Web is the largest available repository of data. In this contribution a solved application ...
AbstractOntology is a way to represent the domain knowledge into a human understandable and machine ...
xiii, 119 leaves : ill. ; 31 cm.PolyU Library Call No.: [THS] LG51 .H577P COMP 2007 LamIn the curren...
[[abstract]]Most of existing search engines retrieve web pages by means of finding exact keywords. T...
The high amount of information that users continually provides to the Internet is unorganized and di...
International audienceOver the last decade, the Internet has undergone a profound change. Thanks to ...
[[abstract]]The Fuzzy-Go search engine develops a fuzzy ontology to capture the similarities of term...
In his in uential article about the evolution of the Web, Berners-Lee [1] envisions a Semantic Web i...
The fuzzy online reputation analysis framework, or ―foRa ‖ (plural of forum, the Latin word for mark...
This paper presents fuzzy clustering algorithms to establish a grassroots ontology – a machine-gene...
Online reputation management deals with monitoring and influencing the online record of a person, an...
The Social Web offers increasingly simple ways to publish and disseminate personal or opinionated in...
Fuzzy ontology is a generalization of crisp ontology for modeling uncertain information and has been...
Traditionally, ontologies describe knowledge representation in a denotational, formalized, and deduc...
The web is becoming more participatory and information is more easily shared. However, great potenti...
Abstract—Web is the largest available repository of data. In this contribution a solved application ...
AbstractOntology is a way to represent the domain knowledge into a human understandable and machine ...
xiii, 119 leaves : ill. ; 31 cm.PolyU Library Call No.: [THS] LG51 .H577P COMP 2007 LamIn the curren...
[[abstract]]Most of existing search engines retrieve web pages by means of finding exact keywords. T...
The high amount of information that users continually provides to the Internet is unorganized and di...
International audienceOver the last decade, the Internet has undergone a profound change. Thanks to ...
[[abstract]]The Fuzzy-Go search engine develops a fuzzy ontology to capture the similarities of term...
In his in uential article about the evolution of the Web, Berners-Lee [1] envisions a Semantic Web i...
The fuzzy online reputation analysis framework, or ―foRa ‖ (plural of forum, the Latin word for mark...