Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
DocBook: The Definitive Guide with CD-ROM
DocBook: The Definitive Guide with CD-ROM
Automatic metadata generation & evaluation
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
User Modeling and User-Adapted Interaction
Automatic Ontology-Based Knowledge Extraction from Web Documents
IEEE Intelligent Systems
Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Automatic document metadata extraction using support vector machines
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
Towards the self-annotating web
Proceedings of the 13th international conference on World Wide Web
Metaextract: an NLP system to automatically assign metadata
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Automatic metadata generation based on neural network
InfoSecu '04 Proceedings of the 3rd international conference on Information security
Automating metadata generation: the simple indexing interface
WWW '05 Proceedings of the 14th international conference on World Wide Web
Bottom-Up Extraction and Trust-Based Refinement of Ontology Metadata
IEEE Transactions on Knowledge and Data Engineering
ICALT '08 Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies
Automatic Extraction of Pedagogic Metadata from Learning Content
International Journal of Artificial Intelligence in Education
Personalised Web Experiences: Seamless Adaptivity across Web Service Composition and Web Content
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Web Document Classification Based on Fuzzy k-NN Algorithm
CIS '09 Proceedings of the 2009 International Conference on Computational Intelligence and Security - Volume 01
Semantic annotation, indexing, and retrieval
Web Semantics: Science, Services and Agents on the World Wide Web
The adaptive web: methods and strategies of web personalization
The adaptive web: methods and strategies of web personalization
Personalized search on the world wide web
The adaptive web
Adaptive content presentation for the web
The adaptive web
Automated template-based metadata extraction architecture
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
Automatic metadata extraction from multilingual enterprise content
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Automatic mining of cognitive metadata using fuzzy inference
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Header metadata extraction from semi-structured documents using template matching
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
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Personalization is increasingly vital especially for enterprises to be able to reach their customers. The key challenge in supporting personalization is the need for rich metadata, such as metadata about structural relationships, subject/concept relations between documents and cognitive metadata about documents (e.g. difficulty of a document). Manual annotation of large knowledge bases with such rich metadata is not scalable. As well as, automatic mining of cognitive metadata is challenging since it is very difficult to understand underlying intellectual knowledge about document automatically. On the other hand, the Web content is increasing becoming multilingual since growing amount of data generated on the Web is non-English. Current metadata extraction systems are generally based on English content and this requires to be revolutionized in order to adapt to the changing dynamics of the Web. To alleviate these problems, we introduce a novel automatic metadata extraction framework, which is based on a novel fuzzy based method for automatic cognitive metadata generation and uses different document parsing algorithms to extract rich metadata from multilingual enterprise content using the newly developed DocBook, Resource Type and Topic ontologies. Since the metadata generation process is based upon DocBook structured enterprise content, our framework is focused on enterprise documents and content which is loosely based on the DocBook type of formatting. DocBook is a common documentation formatting to formally produce corporate data and it is adopted by many enterprises. The proposed framework is illustrated and evaluated on English, German and French versions of the Symantec Norton 360 knowledge bases. The user study showed that the proposed fuzzy-based method generates reasonably accurate values with an average precision of 89.39% on the metadata values of document difficulty, document interactivity level and document interactivity type. The proposed fuzzy inference system achieves improved results compared to a rule-based reasoner for difficulty metadata extraction (~11% enhancement). In addition, user perceived metadata quality scores (mean of 5.57 out of 6) found to be high and automated metadata analysis showed that the extracted metadata is high quality and can be suitable for personalized information retrieval.