i4Q QualiExplore
QualiExplore is a knowledge base for data quality in the manufacturing domain, where users can explore factors that affect the data quality characteristics, such as accuracy, precision, timeliness, credibility, and completeness. Verify your quality, anytime, anywhere, with i4Q QE, a specific knowledge base for data quality
Project: i4Q
Publisher: BIBA
Technology: AI in Manufacturing, Quality Management, Data Quality Management, Information Quality Management
Industry: General
INTRODUCTION
QualiExplore provides a web-based application which enumerates information quality characteristics and attributes in two stages. The first stage of the QualiExplore is a user interface that users can interact with in order to filter out a large number of quality factors that are deemed relevant for a particular use case. These filter categories are the goals, information characteristics (quality), and sources of information. Once the user filters out the relevant characteristics, they are provided with a list of valid checks and further information of what further considerations should be made in order to resolve information quality problems and other relevant aspects that might be overseen
FEATURES/BENEFITS
- Features:
- Web-based application
- Graphical User Interface
- User & Authentication Management
- Chatbot Widget
- Data Persistence
- Open Source Platform
- Benefits:
- Interact, filter and extract large amounts of quality data
- Easy data visualization on demand
- Faster quality problem detection
TECHNICAL INFORMATION
Code | i4Q QE | ||
Type | Web-based Application | ||
Technology Topics | Single-Page Application, Conversational AI, Natural Language Processing | ||
Development | Python3.x, Typescript, JavaScript, YAML, HTML5, CSS3 | ||
RESOURCES
How it works | Component | Interact | Identifying technical relationships |
Graphical User Interface | User Authentication | Using RESTful API, the Graphical User Interface can be used to create new users, provide authentication tokens as well as authorized users to escalate administrative rights for editing information on the Data Persistence component | |
Data Persistance | Via RESTful API calls, the Graphical User Interface obtains the information from the knowledge base and visualizes it for the end user to interact as well as extract only factors that the user has specifically filtered out | ||
Chatbot Widget | Using RESTful API provided by the RASA Framework, the user can converse with the dedicated chatbot via a widget component in the graphical user interface. An Administrative rights enabled user may also add or alter inputs to the RASA server in order to improve the system |
USE CASE
SERVICES LINKED
PUBLISHERS
BIBA - The ”BIBA - Bremer Institut für Produktion und Logistik” is a research institute focused on engineering science. Based on distinct fundamental research, BIBA carries out applied and contract research, both on national and international level, in the areas of production and logistics for relevant industries like logistics, automotive, aviation and wind energy.
