Viser treff 1-10 av 10
A Measurement-Driven Approach to Understand Urban Greenhouse Gas Emissions in Nordic Cities
(Conference object; Peer reviewed, 2016)
Cities are main drivers for climate change mitigation and emission reduction today. However, in many cases they lack reliable baselines of emissions to validate current developments over time, assess the impact of their ...
Understanding challenges in municipal greenhouse gas emission inventories
(Conference object, 2016)
A necessary prerequisite for impactful climate mitigation action is the availability of suitable and reliable baselines of emissions. This is especially true for urban and citylevel actions and strategies that need reliable ...
Document and Corpus Quality Challenges for Knowledge Management in Engineering Enterprises
(Journal article; Peer reviewed, 2015-10)
Understanding Smart Cities as Social Machines
(Chapter; Peer reviewed; Conference object, 2016)
Ducky: An Online Engagement Platform for Climate Communication
(Conference object, 2016)
Climate change is an important area of concern today. Yet it is often difficult for individuals to estimate their own climate footprint and to understand their personal climate impact. However, an activity tracking approach ...
Supporting Municipal Greenhouse Gas (GHG) Emission Inventories Using Business Process Modeling: A Case Study of Trondheim Municipality
(Journal article, 2017)
Business process modeling and business process management has been used to capture, support and improve a large variety of processes and practices in the private and public sector. Traditionally what is regarded as a good ...
Investigating contextual ontologies and document corpus characteristics for information access in engineering settings
(Journal article; Peer reviewed, 2017)
Knowledge and information are valuable resources in enterprises for solution reuse. However, identifying relevant information from a rapidly growing number of unstructured resources is challenging for users. We discuss a ...
Mining Twitter Features for Event Summarization and Rating
We present CEST, a generic method for detection and rich summarization of events occurring in a city. CEST exploits Twitter metadata, does not need prior information on events, and is event category and structure agnostic. ...
Poisson Factorization Models for Spatiotemporal Retrieval
New retrieval models promise deeper integration of multiple features and sources of information. The inclusion of thematic and location features in a joint factorization model allows location to be modeled as a first-class ...
Linkage Quality Analysis of GeoNames in the Semantic Web
We examine the GeoNames gazetteer as a hub of Linked Geospatial Data. We survey quality and linkage characteristics to understand how well it supports the traversal of the Semantic Web and which limitations exist. We examine ...