Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
An example-based mapping method for text categorization and retrieval
ACM Transactions on Information Systems (TOIS)
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Noise reduction in a statistical approach to text categorization
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Annotation: from paper books to the digital library
DL '97 Proceedings of the second ACM international conference on Digital libraries
A diary study of work-related reading: design implications for digital reading devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using a generalized instance set for automatic text categorization
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Annotea: an open RDF infrastructure for shared Web annotations
Proceedings of the 10th international conference on World Wide Web
Condorcet fusion for improved retrieval
Proceedings of the eleventh international conference on Information and knowledge management
SimRank: a measure of structural-context similarity
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Link-based similarity measures for the classification of Web documents
Journal of the American Society for Information Science and Technology
Exploring social annotations for the semantic web
Proceedings of the 15th international conference on World Wide Web
A novel feature selection algorithm for text categorization
Expert Systems with Applications: An International Journal
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
Expert Systems with Applications: An International Journal
Ontologies are us: a unified model of social networks and semantics
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Hi-index | 12.05 |
People can identify and organize their ideas and comments with respect to relevant concept topics through using annotation systems. Those annotation systems are obvious that only supports a simple and manual categorization approach. The manual approach is a difficult and time-consuming task for general annotators. Therefore, we propose a requirement annotation categorization which helps annotators to promote the manual annotation categorization effectiveness. Moreover, we propose an integrated social annotation computation which improves the performance of our annotation categorization. In summary, the proposed annotation categorization is verified through experiments using real users' data sets. We achieved the 83.11% average accuracy for the proposed annotation categorization with integrated social annotation computation. We also show that the proposed annotation categorization requires only 17-20% average processing time (in comparison with the manual approach) is efficient.