Proceedings chapter
Open access

Enriching RDF-based Document Management System with Semantic-based Reasoning

Presented at Larkspur Landing South San Francisco Hotel, USA and KSIR Virtual Conference Center, USA, 29 June 2023
PublisherSouth San Francisco, CA, USA
Publication date2023-06-29

Paper-dependent companies spend most of their time organising and searching for documents, such as invoices, contracts, and budgets. To carry out those tasks, fiduciaries, insurance brokers, and other companies are pioneering Document Management Systems (DMSs). However, there is currently no DMS that allows the classification, understanding, and reasoning of a bundle of documents delivered by customers, and that helps companies create customer profiles to make better and faster decisions. Our proposal aims at easing the tasks of companies dealing with administrative documents of different kinds. We propose a semantic rule-based approach that permits to recognise and classify customers’ documents, as well as to reason over those documents and create customer profiles based on the extracted information. We provide and discuss a case study grounded on the Swiss tax declaration. We developed a full Swiss tax ontology composed of 241 classes, as well as 120 semantic reasoning rules fully validated on the minimum set of administrative documents necessary to fill the Swiss tax declarations. Our approach automates activities related to the management of administrative documents, the profile of their clients, and the administrative documents they must deliver.

  • Automatic Document Processing
  • Data Management Systems
  • Knowledge Graph-based Approach
  • Reasoning Engine
Citation (ISO format)
CAPPELLI, Maria Assunta, CASELLI, Ashley, DI MARZO SERUGENDO, Giovanna. Enriching RDF-based Document Management System with Semantic-based Reasoning. In: DMSVIVA 2023. Proceedings of the 29th International DMS Conference on Visualization and Visual Languages. Larkspur Landing South San Francisco Hotel, USA and KSIR Virtual Conference Center, USA. South San Francisco, CA, USA : [s.n.], 2023. doi: 10.18293/dmsviva2023-034
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Creation07/06/2023 9:18:45 AM
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