Daniel M. Gruen
IBM
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Daniel M. Gruen.
intelligent user interfaces | 2008
Jiahui Liu; Daniel M. Gruen
We present our first user study of CRAFT, a semantic prototype for collaborative investigation and analysis, which allows users to extend the systems ontology to capture new concepts as they conduct their work. We devised a paradigm in which multiple series of ontologies evolve in different trajectories from the same initial point. We analyze the ontology evolution quantitatively with several metrics, and user behavior qualitatively through interviews and observation. Based on our study, we propose a set of design suggestions for semantic applications with collaborative and implicit ontology development.
conference on computer supported cooperative work | 2012
Susanne Hupfer; Michael Muller; Stephen E. Levy; Daniel M. Gruen; Andrew Sempere; Steven I. Ross; Reid Priedhorsky
This video demonstrates an experiment in crowdsourcing both map-based data and also the applications that provide the maps, and also presents scenarios of use.
intelligent user interfaces | 2009
Susanne Hupfer; Steven I. Ross; Jamie C. Rasmussen; James E. Christensen; Stephen E. Levy; Daniel M. Gruen; John F. Patterson
We motivate the need for new environments for collaborative reasoning and describe the foundations of our approach, namely collaboration, semantics, and adaptability. We describe the CRAFT collaborative reasoning interface and infrastructure that we are developing to explore this approach.
conference on recommender systems | 2018
Anuradha Bhamidipaty; Daniel M. Gruen; Justin Platz; John Vergo
Cognitive Company Discovery is an application that helps business professionals identify companies of interest to them. The application employs a variety of artificial intelligence and data science techniques to build a corpus of company data, rapidly search the corpus based on implicit and explicit user queries, present the results using visualization techniques that yield insight into areas of interest to the user and to scan vast amounts of news and blog posts to aid users in discovering new companies. The application is currently deployed in a major corporation. A video that demonstrates our system can be found at the following URL: https://player.vimeo.com/video/278031050
human factors in computing systems | 2007
A. W. Rivadeneira; Daniel M. Gruen; Michael Muller; David R. Millen
Archive | 2002
Daniel M. Gruen; Paul B. Moody; Steven L. Rohall; Bernard J. Kerr; Seymour Kellerman; John F. Patterson
Archive | 2002
Steven L. Rohall; Daniel M. Gruen; Paul B. Moody; Bernard J. Kerr; John F. Patterson; Seymour Kellerman
Archive | 2003
Paul B. Moody; Daniel M. Gruen; Steven L. Rohall; Bernard J. Kerr; Seymour Kellmeran; John F. Patterson
Archive | 2003
Paul B. Moody; Daniel M. Gruen; Steven L. Rohall; Bernard J. Kerr; Seymour Kellerman; John F. Patterson
Archive | 2004
Paul B. Moody; Richard Wilson; Jonathan Feinberg; Daniel M. Gruen