Publication

Here you can find scientific publications of Know-Center employees

Associating Intent with Sentiment in Weblogs

M Kroell, M Strohmaier – International Conference on Applications of Natural Language to Information Systems, 2015

People willingly provide more and more information about themselves on social media platforms. This personal information about users’ emotions (sentiment) or goals (intent) is particularly valuable, for instance, for monitoring tools. So far, sentiment and intent analysis were conducted separately. Yet, both aspects can complement each other thereby informing processes…

Towards a Marketplace for the Scientific Community: Accessing Knowledge from the Computer Science Domain

M Kroell, S Klampfl, R Kern – International Workshop on Mining Scientific Publications @ Digital Libraries, 2014

As scientific output is constantly growing, it is getting more and more important to keep track not only for researchers but also for other scientific stakeholders such as funding agencies or research companies. Each stakeholder values different types of information. A funding agency, for instance, might be rather interested in…

A Study of Scientific Writing: Comparing Theoretical Guidelines with Practical Implementation

M Kroell, G Schulze, R Kern – COLING Workshop on Synchronic and Diachronic Approaches to Analyzing Technical Language, 2014

Good scientific writing is a skill researchers seek to acquire. Textbook literature provides guidelines to improve scientific writing, for instance, "use active voice when describing your own work". In this paper we investigate to what extent researchers adhere to textbook principles in their articles. In our analyses we examine a…

Integrating User Preferences Into Distance Metrics

M Kroell, V Sabol, R Kern, M Granitzer – accepted for publication in Proceedings of the LWA2013 Workshop on Knowledge Di…, 2013

Many practical scenarios such as search, classification or clustering benefit from better understanding their users, for instance, to deliver more relevant search results. Instead of committing ourselves to a specific field of research, e.g. by generating user profiles to enhance information retrieval, we seek to incorporate user preferences into the…

Traffic incident detection with cellular network data

T Reiter, M Cik, M Haberl, C Breitwieser, R Scherer, M Kroell, C Horn, G Müller-Putz, S Lindstaedt, M Fellendorf – OPTI…, 2013

Today, proper traffic incident management (IM) has to deal increasingly with problems such as traffic congestion and environmental sustainability. Therefore, IM intends to clear the road for traffic as quickly as possible after an incident has happened. Electronic data verifiably has great potential for supporting traffic incident management. As a…

Towards Linking Buyers and Sellers: Detecting Commercial Intent on Twitter

B Hollerit, M Kroell, M Strohmaier – Making Sense of Microposts (MSM'13), 2013

Since more and more people use the micro-blogging platform Twitter to convey their needs and desires, it has become a particularly interesting medium for the task of identifying commercial activities. Potential buyers and sellers can be contacted directly thereby opening up novel perspectives and economic possibilities. By detecting commercial intent…

Traffic incident management with cellular network data

T Reiter, M Cik, M Haberl, C Breitwieser, R Scherer, M Kroell, C Horn, M Fellendorf – International Symposium on Recent …, 2013

Dynamic Topography Information Landscapes – An Incremental Approach to Visual Knowledge Discovery

K Syed, M Kroell, V Sabol, A Scharl, S Gindl, M Granitzer, A Weichselbraun – in Proceedings of the 14th International Co…, 2012

Incrementally computed information landscapes are an effective means to visualize longitudinal changes in large document repositories. Resembling tectonic processes in the natural world, dynamic rendering reflects both long-term trends and short-term fluctuations in such repositories. To visualize the rise and decay of topics, the mapping algorithm elevates and lowers related…

Incremental and Scalable Computation of Dynamic Topography Information Landscapes

K Syed, M Kroell, V Sabol, S Gindl, A Scharl – Journal of Multimedia Processing and Techn…, 2012 – Richard Chbeir, Editor-in-Chief

Dynamic topography information landscapes are capable of visualizing longitudinal changes in large document repositories. Resembling tectonic processes in the natural world, dynamic rendering reflects both long-term trends and short-term fluctuations in such repositories. To visualize the rise and decay of topics, the mapping algorithm elevates and lowers related sets of…

Automatically Constructing Concept Hierarchies of Health-Related Human Goals

M Kroell, Y Fukazawa, J Ota, M Strohmaier – Fifth International Conference on Knowledge Science, Engineering and Managem…, 2011

To realize the vision of intelligent agents on the web, agents need to be capable of understanding people’s behavior. Such an understanding would enable them to better predict and support human activities on the web. If agents had access to knowledge about human goals, they could, for instance, recognize people’s…

Acquiring Knowledge about Human Goals from Search Query Logs

M Strohmaier, M Kroell – Information Processing & Management, 2011

A better understanding of what motivates humans to perform certain actions is relevant for a range of research challenges including generating action sequences that implement goals (planning). A first step in this direction is the task of acquiring knowledge about human goals. In this work, we investigate whether Search Query…

itag: Automatically annotating textual resources with human intentions

M Kroell, C Körner, M Strohmaier – Journal of Emerging Technologies in Web Intelligence, Academy Publisher, 2011

Annotations represent an increasingly popular means for organizing, categorizing and finding resources on the “social” web. Yet, only a small portion of the total resources available on the web are annotated. Work on automatic tag generation algorithms aims to tackle this problem by developing algorithms that attempt to approximate and…

Analyzing Human Intentions in Natural Language Text

M Kroell, M Strohmaier – The Fifth International Conference on Knowledge Capture (K-CAP'09), 2010

In this paper, we introduce the idea of Intent Analysis, which is to create a profile of the goals and intentions present in textual content. Intent Analysis, similar to Sentiment Analysis, represents a type of document classification that differs from traditional topic categorization by focusing on classification by intent. We…

Intent Tag Clouds: An Intentional Approach To Visual Text Analysis

F Jeanquartier, M Kroell, M Strohmaier – Proceedings of the Workshop on Semantic Multimedia Database Technologies, 10th …, 2009

Getting a quick impression of the author's intention of a text is a task often performed. An author's intention plays a major role in successfully understanding a text. For supporting readers in this task, we present an intentional approach to visual text analysis, making use of tag clouds. The objective…

Machine Learning based Work Task Classification

M Granitzer, A Rath, M Kroell, C Seifert, D Ipsmiller, D Devaurs, N Weber, S Lindstaedt – Journal of Digital Information…, 2009

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