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| Citation key | DBLP:conf/cikm/BrauerLD08 |
|---|---|
| Author | Falk Brauer, Alexander Löser, Hong-Hai Do |
| Pages | 85-88 |
| Year | 2008 |
| Journal | Proceedings of the 2nd PhD workshop on Information and knowledge management |
| Organization | CIKM |
| Institution | Conference on Information and Knowledge Management |
| Abstract | Today, valuable business information is increasingly stored as unstructured data (documents, emails, etc.). For example, documents exchanged between business partners capture information on transactions between them like purchases or invoices. A major challenge is to correctly recognize and associate real-world entities in unstructured data, e.g. documents, with those stored in structured data e.g., enterprise databases. To address this, we propose in this paper a robust process methodology consisting of three phases: entity extraction from documents, generation of mapping of recognized entities with structured data, and disambiguation of mappings exploiting relationships from the enterprise data and the documents' structure. |
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