Loading...
hidden

View Mobile version

Meta navigation

Startseite – Hochschule Luzern

Language selection and important links

  • Contents
  • Contact
  • Login
  • De
  • En
Search

Main navigation

School navigation

  • Engineering and Architecture
  • Business
  • Computer Science
  • Social Work
  • Art and Design
  • Music

Sub-navigation

  • Degree Programmes
  • Continuing Education
  • Research
  • International
  • Campus
  • About us
  • News

Sub-navigation

Breadcrumbs

  1. Research Research
  2. Intuitive Knowledge Connectivity Intuitive Knowledge Connectivity

Intuitive Knowledge Connectivity

User knowledge interaction and autonomic knowledge technologies for a cloud-based distributed knowledge representation.

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

15.08.2015 - 31.12.2016

Overview

Data is produced in big volume, velocity and variety. Despite many research initiatives in big data analytics, individual users are still overwhelmed with a flood of data. Current big data strategies focus mainly on organizational uses of data analytics. In contrast, the long-term vision of this project is to assists individuals in coping with big data using an artificially intelligent digital assistant. Dealing with information overload is a personal connective learning process. Therefore, we envision a software that enables individuals to connect new relevant data to an existing distributed but integrated cloud-based knowledge structure semi-automatically. The goal of this small project is to establish a software framework that makes manifest the concept of a personal knowledge warehouse based on knowledge connectivity. This project has two deliverables: (1) a small software prototype that demonstrates the key concepts from an engineering perspective, and (2) a scientific publication that defines possible answers to the research questions from a scientific perspective. This will help establish funding for a larger project that focuses on user experience.

hidden

Facts

Type of project

Forschung

Internal organisations involved
  • Data Intelligence F&E
Funding
  • Private / Stiftungen
hidden

Persons involved: internal

Project manager
  • Michael Kaufmann
Member of project team
  • Alexander Denzler
  • Halldór Janetzko
  • Luca Mazzola
  • Patrick Siegfried
  • Andreas Waldis
hidden

Persons involved: external

External member of project team
  • Patrick Siegfried
  • Andreas Waldis

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

08/15/2015 - 12/31/2016

Project Head

Prof. Dr. Michael Kaufmann

Lecturer

+41 41 757 68 48

Show email

Footer(s)

FH Zentralschweiz

Social media links

  •  Facebook
  •  Instagram
  •  Twitter
  •  LinkedIn
  •  YouTube
  •  Flickr

Contact

Logo Lucerne University of Applied Sciences and Arts

Lucerne University of Applied Sciences and Arts


Werftestrasse 4
- 6002 Luzern

+41 41 228 42 42

info@hslu.ch

Direct entry

  • A bachelor's degree –
  • A master's degree –
  • Prospective Students (Continuing & Executive Programmes)
  • Unternehmen & Institutionen
  • Media Relations
  • For Students
  • For Members of Staff

Quick link

  • People Finder
  • University Buildings & Campus Locations
  • News
  • Libraries
  • Events
  • Jobs & Karriere
  • Home
  • Hiring Rooms

Static links

  • Newsletter
  • Data protection notice
  • Publishing Acknowledgements
Logo Swissuniversities

QrCode

QrCode
We use cookies on this site to give you the best browsing experience. By continuing to navigate this site or closing this banner you accept this use of cookies. For more information please visit our privacy policy.
OK