Quintero, R.; Torres-Ruiz, M.; Saldaña-Pérez, M.; Guzmán Sánchez-Mejorada, C.; Mata-Rivera, F. A Conceptual Graph-Based Method to Compute Information Content. Mathematics2023, 11, 3972.
Quintero, R.; Torres-Ruiz, M.; Saldaña-Pérez, M.; Guzmán Sánchez-Mejorada, C.; Mata-Rivera, F. A Conceptual Graph-Based Method to Compute Information Content. Mathematics 2023, 11, 3972.
Quintero, R.; Torres-Ruiz, M.; Saldaña-Pérez, M.; Guzmán Sánchez-Mejorada, C.; Mata-Rivera, F. A Conceptual Graph-Based Method to Compute Information Content. Mathematics2023, 11, 3972.
Quintero, R.; Torres-Ruiz, M.; Saldaña-Pérez, M.; Guzmán Sánchez-Mejorada, C.; Mata-Rivera, F. A Conceptual Graph-Based Method to Compute Information Content. Mathematics 2023, 11, 3972.
Abstract
This research uses the computing of conceptual distance to measure information content in Wikipedia categories. The proposed metric, generality, relates information content to conceptual distance by determining the ratio of information a concept provides to others compared to the information it receives. The DIS-C algorithm calculates generality values for each concept, considering each relationship's conceptual distance and distance weight. The findings of this study were compared to current methods in the field and found to be comparable to results obtained using the WordNet corpus. This method offers a new approach to measuring information content applied to any relationship or topology in conceptualization.
Keywords
information content; semantic similarity; Wikipedia; conceptual distance; generality; graphs
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.