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CIKM
2008
Springer

Mapping enterprise entities to text segments

8 years 8 months ago
Mapping enterprise entities to text segments
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. Categories and Subject Descriptors ontent Analysis and Indexing]: [Abstracting methods, Linguistic processing, Dictionaries] General Terms Algorithms Keywords Information Extraction, Named Entity Recognition
Falk Brauer, Alexander Löser, Hong-Hai Do
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where CIKM
Authors Falk Brauer, Alexander Löser, Hong-Hai Do
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