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| Content Provider | ACM Digital Library |
|---|---|
| Author | Crouch, Michael Zhu, Meng Lallah, Chattun Badii, Atta |
| Abstract | There are still major challenges in the area of automatic indexing and retrieval of digital data. The main problem arises from the ever increasing mass of digital media and the lack of efficient methods for indexing and retrieval of such data based on the semantic content rather than keywords. To enable intelligent web interactions or even web filtering, we need to be capable of interpreting the information base in an intelligent manner. Research has been ongoing for a few years in the field of ontological engineering with the aim of using ontologies to add knowledge to information. In this paper we describe the architecture of a system designed to automatically and intelligently index huge repositories of special effects video clips, based on their semantic content, using a network of scalable ontologies to enable intelligent retrieval. |
| Starting Page | 551 |
| Ending Page | 554 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769538013 |
| DOI | 10.1109/WI-IAT.2009.347 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2009-09-15 |
| Access Restriction | Subscribed |
| Subject Keyword | Topic map technology ontology natural language processing automatic labelling knowledge representation |
| Content Type | Text |
| Resource Type | Article |
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