TY - CHAP
T1 - Ontology-based information visualization
T2 - Toward semantic web applications
AU - Fluit, Christiaan
AU - Sabou, Marta
AU - Van Harmelen, Frank
PY - 2006
Y1 - 2006
N2 - This chapter has demonstrated an elegant way to visually represent ontological data. We have described how the Cluster Map visualization can use ontologies to create expressive information visualizations, with the attractive property that classes and objects that are semantically related are also spatially close in the visualization. Another key aspect of the visualization is that it focuses on visualizing instances rather than ontological models, thereby making it very useful for information retrieval purposes. A number of applications developed in the past few years have been described that prominently incorporate the Cluster Map visualization. Based on these descriptions, we could distinguish a number of generic information retrieval tasks that are well supported by the visualization. These applications prove the usability and usefulness of the Cluster Map in real-life scenarios. Furthermore, these applications show the applicability of the visualization in Semantic Web-based environments, where lightweight ontologies are playing a crucial role in organizing and accessing heterogeneous and decentralized information sources.
AB - This chapter has demonstrated an elegant way to visually represent ontological data. We have described how the Cluster Map visualization can use ontologies to create expressive information visualizations, with the attractive property that classes and objects that are semantically related are also spatially close in the visualization. Another key aspect of the visualization is that it focuses on visualizing instances rather than ontological models, thereby making it very useful for information retrieval purposes. A number of applications developed in the past few years have been described that prominently incorporate the Cluster Map visualization. Based on these descriptions, we could distinguish a number of generic information retrieval tasks that are well supported by the visualization. These applications prove the usability and usefulness of the Cluster Map in real-life scenarios. Furthermore, these applications show the applicability of the visualization in Semantic Web-based environments, where lightweight ontologies are playing a crucial role in organizing and accessing heterogeneous and decentralized information sources.
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U2 - 10.1007/1-84628-290-X_3
DO - 10.1007/1-84628-290-X_3
M3 - Chapter
AN - SCOPUS:84892312884
SN - 1852339764
SN - 9781852339760
SP - 45
EP - 58
BT - Visualizing the Semantic Web: XML-Based Internet and Information Visualization
PB - Springer London
ER -