Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Self-organizing maps
SOMLib: a digital library system based on neural networks
Proceedings of the fourth ACM conference on Digital libraries
Visualizing Electronic Document Repositories: Drawing Books and Papers in a Digital Library
VDB 5 Proceedings of the Fifth Working Conference on Visual Database Systems: Advances in Visual Information Management
A SOM Based Cluster Visualization and Its Application for False Coloring
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3 - Volume 3
Automatic detection of text genre
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Recognizing text genres with simple metrics using discriminant analysis
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Self organization of a massive document collection
IEEE Transactions on Neural Networks
Genre Classification and Domain Transfer for Information Filtering
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Automatically Analyzing and Organizing Music Archives
ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
From genre analysis to the design of meetingware
GROUP '03 Proceedings of the 2003 international ACM SIGGROUP conference on Supporting group work
A document corpus browser for in-depth reading
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Using semantic components to express clinical questions against document collections
HIKM '06 Proceedings of the international workshop on Healthcare information and knowledge management
Semantic components enhance retrieval of domain-specific documents
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Automatic Extraction of Pedagogic Metadata from Learning Content
International Journal of Artificial Intelligence in Education
A survey on sentiment detection of reviews
Expert Systems with Applications: An International Journal
Searching documents based on relevance and type
ECIR'07 Proceedings of the 29th European conference on IR research
Searching for ground truth: a stepping stone in automating genre classification
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
Automatic genre identification: towards a flexible classification scheme
FDIA'07 Proceedings of the 1st BCS IRSG conference on Future Directions in Information Access
Moving toward web-scale: adapting semantic components for use in large collections
FDIA'07 Proceedings of the 1st BCS IRSG conference on Future Directions in Information Access
Structured text retrieval by means of affordances and genre
FDIA'07 Proceedings of the 1st BCS IRSG conference on Future Directions in Information Access
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With the number and types of documents in digital library systems incr easing, tools for automatically organizing and presenting the content have to be found. While many approaches focus on topic-based organization and structuring, hardly any system incorporates automatic structural analysis and representation. Yet, genre information (unconsciously) forms one of the most distinguishing features in conventional libraries and in information searches. In this paper we present an approach to automatically analyze the structure of documents and to integrate this information into an automatically created content-based organization. In the resulting visualization, documents on similar topics, yet representing different genres, are depicted as books in differing colors. This representation supports users intuitively in locating relevant information presented in a relevant form.