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| Content Provider | ACM Digital Library |
|---|---|
| Author | Celentano, Augusto Fugini, Maria Grazia Pozzi, Silvano |
| Copyright Year | 1995 |
| Abstract | In the office environment, the retrieval of documents is performed using the concepts contained in the documents, information about the procedural context where the documents are used, and information about the regulations and laws that discipline the life of documents within a given application domain. To fulfill the requirements of such a sophisticated retrieval, we propose a document retrieval model and system based on the representation of knowledge describing the semantic contents of documents, the way in which the documents are managed by procedures and by people in the office, and the application domain where the office operates. The article describes the knowledge representation issues needed for the document retrieval system and presents a document retrieval model that captures these issues. The effectiveness of the approach is illustrated by describing a system, named $\textit{Kabiria},$ built on top of such model. The article describes the querying and browsing environments, and the architecture of the system. |
| Starting Page | 237 |
| Ending Page | 268 |
| Page Count | 32 |
| File Format | |
| ISSN | 10468188 |
| e-ISSN | 15582868 |
| DOI | 10.1145/203052.203056 |
| Volume Number | 13 |
| Issue Number | 3 |
| Journal | ACM Transactions on Information Systems (TOIS) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1995-07-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Browser Class Hypertext Instance Knowledge base Link Object orientation User interface |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Applications Information Systems Business, Management and Accounting |
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