Intelligent databases: object-oriented, deductive hypermedia technologies
Intelligent databases: object-oriented, deductive hypermedia technologies
Design issues for multi-document hypertexts
HYPERTEXT '89 Proceedings of the second annual ACM conference on Hypertext
Automatically transforming regularly structured linear documents into hypertext
Electronic Publishing—Origination, Dissemination, and Design
Automating the conversion of text into hypertext
Hypertext/hypermedia handbook
Tools for authoring hypertexts
Hypertext/hypermedia handbook
What the query told the link: the integration of hypertext and information retrieval
HYPERTEXT '97 Proceedings of the eighth ACM conference on Hypertext
Topic-based browsing within a digital library using keyphrases
Proceedings of the fourth ACM conference on Digital libraries
Linking by interacting: a paradigm for authoring hypertext
HYPERTEXT '00 Proceedings of the eleventh ACM on Hypertext and hypermedia
Proceedings of the 12th ACM conference on Hypertext and Hypermedia
HyVIS: The Hypermedia and Visual Information Systems Group
IEEE MultiMedia
Supporting Public Browsing of an Art Gallery Collections Database
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
Journal of the American Society for Information Science and Technology
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A major obstacle hindering the advancement and commercial acceptance of hypermedia is the cost of converting paper based information into hypermedia form. The Hypermedia Authoring Research Toolkit (HART) was developed to support the human editor during this media-to-hypermedia conversion process. The tool's goal is to help improve the correctness and completeness of the hypermedia database, as well as reduce the media-to-hypermedia conversion cost.We believe it is not possible to properly convert media to hypermedia without the participation of a human editor during the transformation. It is therefore necessary to develop tools to assist the human during this process. By reducing the overhead associated with the physical management of the hyper-database construction, the subject specialist is better able to concentrate on the information content.Support is provided in two basic ways:By providing procedural guidance. From our experience constructing hypermedia systems we have developeds an efficient process for this media-to-hypermedia transformation.By providing intelligent assistance. At each phase in the transformation the system can suggest likely nodes, key phrases, index values, anchors, and links to the editor.The project's research focus is to identify the most effective methodologies to assist the human editor transform linear text, images and video into hypermedia structure.