Machine Learning
Usage patterns of collaborative tagging systems
Journal of Information Science
AutoTag: a collaborative approach to automated tag assignment for weblog posts
Proceedings of the 15th international conference on World Wide Web
Automatic Tag Suggestion Based on Resource Contents
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Automatic detection of tags for political blogs
WSA '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media
Automatic keyphrase extraction and ontology mining for content-based tag recommendation
International Journal of Intelligent Systems - New Trends for Ontology-Based Knowledge Discovery
Hybrid tag recommendation for social annotation systems
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Integrating keywords and semantics on document annotation and search
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
Concept-based semantic annotation, indexing and retrieval of office-like document units
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Tag recommendation for open source software
Frontiers of Computer Science: Selected Publications from Chinese Universities
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In this paper we propose a novel method for automatically generating and recommending semantic tags for text documents, namely terms that reflect the intended meaning of the document in an accurate and complete way. Our approach is based on the utilization of existing domain knowledge, in the form of ontologies, and particularly in the selection and exploitation of those ontological relations that are most appropriate for the given tagging scenario and domain. Experimental evaluation of the method with significant number of documents and high volume of ontological knowledge shows a high level of accuracy as far as tag identification is concerned.