Abstract
Many researchers have noted the problems associated with manually created or maintained hyperdocument links, and the consequent need for automated methods. A number of techniques have been applied to the problem, including pattern-matching, information retrieval, and natural language processing. This paper describes a system for the automatic detection and management of structural and referential links. The paper also addresses the issues of link-set soundness and completeness, open link management, and the particular problems engendered by large volatile hyperbases.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
