12 May 2016 Classification of user interfaces for graph-based online analytical processing
Author Affiliations +
Abstract
In the domain of business intelligence, user-oriented software for conducting multidimensional analysis via Online- Analytical Processing (OLAP) is now commonplace. In this setting, datasets commonly have well-defined sets of dimensions and measures around which analysis tasks can be conducted. However, many forms of data used in intelligence operations – deriving from social networks, online communications, and text corpora – will consist of graphs with varying forms of potential dimensional structure. Hence, enabling OLAP over such data collections requires explicit definition and extraction of supporting dimensions and measures. Further, as Graph OLAP remains an emerging technique, limited research has been done on its user interface requirements. Namely, on effective pairing of interface designs to different types of graph-derived dimensions and measures.

This paper presents a novel technique for pairing of user interface designs to Graph OLAP datasets, rooted in Analytic Hierarchy Process (AHP) driven comparisons. Attributes of the classification strategy are encoded through an AHP ontology, developed in our alternate work and extended to support pairwise comparison of interfaces. Specifically, according to their ability, as perceived by Subject Matter Experts, to support dimensions and measures corresponding to Graph OLAP dataset attributes.

To frame this discussion, a survey is provided both on existing variations of Graph OLAP, as well as existing interface designs previously applied in multidimensional analysis settings. Following this, a review of our AHP ontology is provided, along with a listing of corresponding dataset and interface attributes applicable toward SME recommendation structuring. A walkthrough of AHP-based recommendation encoding via the ontology-based approach is then provided. The paper concludes with a short summary of proposed future directions seen as essential for this research area.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James R. Michaelis, James R. Michaelis, } "Classification of user interfaces for graph-based online analytical processing", Proc. SPIE 9851, Next-Generation Analyst IV, 98510P (12 May 2016); doi: 10.1117/12.2224129; https://doi.org/10.1117/12.2224129
PROCEEDINGS
13 PAGES


SHARE
RELATED CONTENT

Collaborative data analysis with smart tangible devices
Proceedings of SPIE (February 03 2014)
Low cost USB-local bus interface for FPGA based systems
Proceedings of SPIE (October 15 2012)
Graphical fiber shaping control interface
Proceedings of SPIE (March 14 2016)
e-Seminar lecture recording and distribution system
Proceedings of SPIE (December 22 2000)
Geoscience visualization with GPU programming
Proceedings of SPIE (March 11 2005)

Back to Top