Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Daniel M. Gruen is active.

Publication


Featured researches published by Daniel M. Gruen.


intelligent user interfaces | 2008

Between ontology and folksonomy: a study of collaborative and implicit ontology evolution

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

MoCoMapps: mobile collaborative map-based applications

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

Crafting an environment for collaborative reasoning

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

Cognitive company discovery

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

Getting our head in the clouds: toward evaluation studies of tagclouds

A. W. Rivadeneira; Daniel M. Gruen; Michael Muller; David R. Millen


Archive | 2002

Calendar bar interface for electronic mail interaction

Daniel M. Gruen; Paul B. Moody; Steven L. Rohall; Bernard J. Kerr; Seymour Kellerman; John F. Patterson


Archive | 2002

Method and apparatus for handling conversation threads and message groupings as a single entity

Steven L. Rohall; Daniel M. Gruen; Paul B. Moody; Bernard J. Kerr; John F. Patterson; Seymour Kellerman


Archive | 2003

Method and apparatus for electronic mail interaction with grouped message types

Paul B. Moody; Daniel M. Gruen; Steven L. Rohall; Bernard J. Kerr; Seymour Kellmeran; John F. Patterson


Archive | 2003

Method and apparatus for interaction with electronic mail from multiple sources

Paul B. Moody; Daniel M. Gruen; Steven L. Rohall; Bernard J. Kerr; Seymour Kellerman; John F. Patterson


Archive | 2004

Method and system for sensing and communicating the use of communication modes by remote users

Paul B. Moody; Richard Wilson; Jonathan Feinberg; Daniel M. Gruen

Researchain Logo
Decentralizing Knowledge