A NLP Based Framework to Support Document Verification-as-a-Service
| Autor: | Vinay Kulkarni, Nikhil Bellarykar, Suman Roychoudhury |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Functional verification
Knowledge representation and reasoning business.industry Computer science Runtime verification Rule-based system 02 engineering and technology Semantic reasoner 010501 environmental sciences Ontology (information science) computer.software_genre 01 natural sciences Intelligent verification 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Software engineering business computer Software verification Natural language processing 0105 earth and related environmental sciences |
| Zdroj: | EDOC |
| DOI: | 10.1109/edoc.2016.7579376 |
| Popis: | Many enterprise systems are document intensive that requires extensive manual verification in the form of maker and checker. However, a maker-checker based verification raises several challenges with respect to increase in cost and time of verification. Furthermore, any manual labor intensive verification is not free from human oversight and can lead to costly errors. Therefore, to alleviate the challenges arising out of human verification of document intensive systems, we propose a rule based framework that enables automatic verification of document based systems. The framework uses ontology based knowledge representation techniques along with appropriate natural language processing methods to extract operational rules from business documents and then use suitable reasoning engine for verification. The above framework is validated in the light of a real life case study namely International Trade that deals with several critical financial documents like Letter-of-Credit, Bill-of-Lading, Commercial Invoice etc. |
| Databáze: | OpenAIRE |
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