ConNeKTion: A Tool for Exploiting Conceptual Graphs Automatically Learned from Text
Fabio Leuzzi, Stefano Ferilli, Fulvio Rotella · 2013
Abstract. Studying, understanding and exploiting the content of a dig-ital library, and extracting useful information thereof, require automatic techniques that can effectively support the users. To this aim, a relevant role can be played by concept taxonomies. Unfortunately, the availabil-ity of such a kind of resources is limited, and their manual building and maintenance are costly and error-prone. This work presents ConNeK-Tion, a tool for conceptual graph learning and exploitation. It allows to learn conceptual graphs from plain text and to enrich them by find-ing concept generalizations. The resulting graph can be used for several purposes: finding relationships between concepts (if any), filtering the concepts from a particular perspective, keyword extraction and infor-mation retrieval. A suitable control panel is provided for the user to comfortably carry out these activities. 1