JOURNAL ARTICLE

Towards Understandable Explanations for Document Analysis Systems

Abstract

smartFIX is a product portfolio for knowledge based extraction of data from any document format. The system automatically determines the document type and extracts all relevant data for the respective business process. Data that is unreliably recognized is forwarded to a verification workplace for manual checking. In general, users have no difficulties to interpret the document data and wonder why the system needs additional input. For that reason, we implemented an explanation component that is used to justify extraction results, thus, increasing confidence of users. The component is using a semantic log making it possible to provide understandable explanations. We illustrate the benefits of that kind of technology in contrast to the current smartFIX Log Viewer by means of a preliminary user experiment.

Keywords:
Computer science Component (thermodynamics) Product (mathematics) Process (computing) Information retrieval Programming language

Metrics

5
Cited By
1.52
FWCI (Field Weighted Citation Impact)
13
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Data Quality and Management
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Scientific Computing and Data Management
Social Sciences →  Decision Sciences →  Information Systems and Management

Related Documents

JOURNAL ARTICLE

Towards understandable personalized recommendations: Hybrid explanations

Martin ŠvrčekMichal KompanMária Bieliková

Journal:   Computer Science and Information Systems Year: 2018 Vol: 16 (1)Pages: 179-203
JOURNAL ARTICLE

Interpretable AI: Beyond Post-Hoc Explanations Towards Inherently Understandable Models

Revista, ZenIA, 10

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2025
JOURNAL ARTICLE

Interpretable AI: Beyond Post-Hoc Explanations Towards Inherently Understandable Models

Revista, ZenIA, 10

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2025
JOURNAL ARTICLE

Statistics: Difficult Concepts, Understandable Explanations.

David W. HosmerDale E. Mattson

Journal:   Journal of the American Statistical Association Year: 1986 Vol: 81 (393)Pages: 259-259
BOOK-CHAPTER

Towards Versatile Document Analysis Systems

Henry S. BairdMatthew Casey

Lecture notes in computer science Year: 2006 Pages: 280-290
© 2026 ScienceGate Book Chapters — All rights reserved.