Using Natural Language for Retrieval of Self-Service Business Intelligence Assets
No Thumbnail Available
Authors
Author (Corporation)
Publication date
2018
Typ of student thesis
Master
Course of study
Collections
Type
11 - Student thesis
Editors
Editor (Corporation)
Supervisor
Parent work
Special issue
DOI of the original publication
Link
Series
Series number
Volume
Issue / Number
Pages / Duration
Patent number
Publisher / Publishing institution
Hochschule für Wirtschaft FHNW
Place of publication / Event location
Olten
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Ecommerce Knowledge Workers (EKW) struggle to find appropriate Self-Service Business Intelligence (SSBI) assets; Data Catalogs help here, offering the possibility to index all relevant assets from different systems and providing a search experience in a single interface. Current Data Catalogs use common metadata, usage data, social elements, curation elements and context data.SSBI assets like complex reports and interactive dashboards are often co-created by Business Intelligence- (BI-) and domain experts. The co-creation process leads to assets responding to specific stakeholder requirements and questions. During this process, many questions and sample answers are uttered. This thesis suggests to capture such utterances and storing them in metadata in order to improve Data Catalog search experience....
Keywords
Subject (DDC)
330 - Wirtschaft
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Review
Open access category
License
Citation
KNOBEL, Anton, 2018. Using Natural Language for Retrieval of Self-Service Business Intelligence Assets. Olten: Hochschule für Wirtschaft FHNW. Verfügbar unter: https://irf.fhnw.ch/handle/11654/39799