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Intelligent Information Systems (I2S)

[word cloud for social and semantic information systems]

The group for Intelligent Information Systems (I2S) studies information systems (IS) that employ artificial intelligence (AI) and related techniques. Examples of such techniques are: data analytics, data and process mining, image analysis, knowledge graphs, machine learning, natural-language understanding, predictive modelling, and semantic technologies.

We are an interdisciplinary research group with backgrounds in areas such as: artificial intelligence, computer science, cognitive science, data science, information science, information systems, and software engineering. We use research methods from data science, design science research, and information retrieval, among others.

We develop and evaluate intelligent information systems for varied domains and purposes, such as: digital multimedia forensics, decision making in finance and insurance, health IS, media archiving and production, personal data analysis, predictive modelling, recommender IS, user modelling. In many of these domains, we leverage user-generated content from social media, usually in combination with other information sources.

Project: News Angler
News Angler samler informasjon fra ulike kilder og tilrettelegger den for journalistisk arbeid.

Discovering unexpected connections in the news

The News Angler project aims to support journalists finding new and unexpected angles on unfolding news stories, along with suitable background information. The project therefore explores how artificial intelligence (AI) techniques can leverage big open data sources to support high-quality...

Projectt BDEM
Big Data for Emergency Management

BDEM: Big Data for Emergency Management

Big Data for Emergency Management aims to leverage open and other big data sources to better assist strategic and operational deciding and acting during all phases of emergency management, from preparation, detection, rescue, relief, and rebuilding.

Project: UBIMOB
Bergen City Mobility

UBIMOB: Ubiquitous Data-Driven Urban Mobility

Urban mobility in most cities of the developed world is changing. Changes in urban mobility no longer follow traditional patterns. Smartphone applications now support people’s travel decisions as they move through the city, opening up possibilities for smarter mobility services that respond flexibly...

Project: Agile 2.0
Årsaksmodell

The customer effect in systems development projects

The customer plays a main role in agile systems development. Through case studies we try to uncover what effects varying mechanisms related to the customer relation may have on the outcome in systems development projects. We collaborate closely with Sintef Digital’s competence project Agile 2.0 on...