Organizing information: principles of data base and retrieval systems
Organizing information: principles of data base and retrieval systems
Some issues in the indexing of images
Journal of the American Society for Information Science
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
(invited paper) A new theoretical framework for information retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Attributes of images in describing tasks
Information Processing and Management: an International Journal
Indexing and access for digital libraries and the Internet: human, database, and domain factors
Journal of the American Society for Information Science
User reactions as access mechanism: an exploration based on captions for images
Journal of the American Society for Information Science
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Searching for images: the analysis of users' queries for image retrieval in American history
Journal of the American Society for Information Science and Technology
PicHunter: Bayesian Relevance Feedback for Image Retrieval
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Usage patterns of collaborative tagging systems
Journal of Information Science
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Information Processing and Management: an International Journal
Semantics and knowledge organization
Annual Review of Information Science and Technology
Ontologies are us: a unified model of social networks and semantics
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Effectiveness of query expansion using Flickr related tags
DCMI '09 Proceedings of the 2009 International Conference on Dublin Core and Metadata Applications
A new model for semantic photograph description combining basic levels and user-assigned descriptors
Journal of Information Science
Topic based photo set retrieval using user annotated tags
Multimedia Tools and Applications
Basic-level categories: A review
Journal of Information Science
Hi-index | 0.00 |
This study explored how user-supplied tags can be applied to designing a thesaurus that reflects the unique features of image documents. Tags from the popular image-sharing Web site Flickr were examined in terms of two central components of a thesaurus-selected concepts and their semantic relations-as well as the features of image documents. Shatford's facet category and Rosch et al.'s basic-level theory were adopted for examining concepts to be included in a thesaurus. The results suggested that the best approach to Color and Generic category descriptors is to focus on basic-level terms and to include frequently used superordinate- and subordinate-level terms. In the Abstract category, it was difficult to specify a set of abstract terms that can be used consistently and dominantly, so it was suggested to enhance browsability using hierarchical and associative relations. Study results also indicate a need for greater inclusion of Specific category terms, which were shown to be an important tool in establishing related tags. Regarding semantic relations, the study indicated that in the identification of related terms, it is important that descriptors not be limited only to the category in which a main entry belongs but broadened to include terms from other categories as well. Although future studies are needed to ensure the effectiveness of this user-oriented approach, this study yielded promising results, demonstrating that user-supplied tags can be a helpful tool in selecting concepts to be included in a thesaurus and in identifying semantic relations among the selected concepts. It is hoped that the results of this study will provide a practical guideline for designing a thesaurus for image documents that takes into account both the unique features of these documents and the unique information-seeking behaviors of general users.