Guided Query Composition with Semantic OLAP Patterns

  • Ilko Kovacic (Speaker)

Activity: Talk or presentationContributed talkscience-to-science

Description

Enabling domain experts to independently compose ad hoc OLAP queries is the primary goal of semantic OLAP (semOLAP) patterns. In this respect, a semOLAP pattern represents a recurring domain-independent OLAP query by describing the application scope and defining the structure of the query using formal pattern elements (FPEs). Such a semOLAP pattern is executable: In order to execute a semOLAP pattern, the user instantiates the pattern by providing FPE bindings. In this paper, we propose an approach for guided query composition which considers the inherent query structure in order to determine a navigation flow and recommend possible bindings for the corresponding FPEs. Guidance supports both existing as well as future, currently unidentified sem\-OLAP patterns. The presented approach has been implemented in the course of a collaborative research project between industry and academia on precision dairy farming.
Period26 Mar 2018
Event title2nd International Workshop on Data Analytics Solutions for Real-Life Applications (DARLI-AP 2018), EDBT/ICDT 2018 Joint Conference
Event typeConference
LocationAustriaShow on map

Fields of science

  • 102028 Knowledge engineering
  • 102016 IT security
  • 102027 Web engineering
  • 502050 Business informatics
  • 503008 E-learning
  • 102 Computer Sciences
  • 102030 Semantic technologies
  • 102033 Data mining
  • 102010 Database systems
  • 102015 Information systems
  • 102025 Distributed systems

JKU Focus areas

  • Management and Innovation
  • Computation in Informatics and Mathematics