Mapping enterprise entities to text
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||Proceedings of the 2nd PhD workshop on Information and knowledge
||Conference on Information and Knowledge Management
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'
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