Learning Tagging Ontology from Large Tagging Data
نویسندگان
چکیده
منابع مشابه
Exploiting Tagging in Ontology-based e-Learning
The ontologies are used to state the meaning of the terms used in data produced, shared and consumed within the context of Semantic Web applications. The folksonomies instead are an emergent phenomenon of the Social Web and represent the result of free tagging of information and objects in a social environment. Both ontologies and folksonomies are considered useful mechanisms to manage the info...
متن کاملLearning Personalized Tag Ontology from User Tagging Information
The cross-sections of the Social Web and the Semantic Web has put folksonomy in the spot light for its potential in overcoming knowledge acquisition bottleneck and providing insight for "wisdom of the crowds". Folksonomy which comes as the results of collaborative tagging activities has provided insight into user's understanding about Web resources which might be useful for searching and organi...
متن کاملLearning Word Embeddings from Tagging Data: A methodological comparison
The semantics hidden in natural language are an essential building block for a common language understanding needed in areas like NLP or the Semantic Web. Such information is hidden for example in lightweight knowledge representations such as tagging systems and folksonomies. While extracting relatedness from tagging systems shows promising results, the extracted information is often encoded in...
متن کاملUpper Tag Ontology (UTO) For Integrating Social Tagging Data
Data integration and mediation have become central concerns of information technology over the past few decades. With the advent of the Web and the rapid increases in the amount of data and the number of Web documents and users, researchers have focused on enhancing the interoperability of data through the development of metadata schemes. Other researchers have looked to the wealth of metadata ...
متن کاملUpper tag ontology for integrating social tagging data
Data integration and mediation have become central concerns of information technology over the past few decades. With the advent of the Web and the rapid increases in the amount of data and the number of Web documents and users, researchers have focused on enhancing the interoperability of data through the development of metadata schemes. Other researchers have looked to the wealth of metadata ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Korean Institute of Intelligent Systems
سال: 2008
ISSN: 1976-9172
DOI: 10.5391/jkiis.2008.18.2.157