Graph based re-composition of document fragments for name entity recognition under exploitation of enterprise databases

A computing system comprising:

• a set of documents stored in a document storage unit, each document containing text or unstructured data;
• a database storage unit that stores a set of predefined entities, each entity having a set of attributes;
• and
• a processor in communication with the database storage unit and the document storage unit, the processor operable to identify a plurality of text segments from a document via a set of tagging techniques, to match the identified plurality of text segments against the set of attributes, and to select a best matching predefined entity from the set of predefined entities for each text segment of the plurality of text segments.

A computer implemented method comprising:

• receiving a document containing text or unstructured data, wherein the document is a representation of a physical business object stored in a document storage unit;
• applying a set of tagging techniques to identify a plurality of text segments from the document;
• matching the identified plurality of text segments with attributes of a set of predefined entities, the predefined entities stored in a database storage unit;
• and
• selecting a best matching predefined entity from the set of predefined entities for each text segment of the plurality of text segments.