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Chapter and Conference Paper
Computational Controversy
Climate change, vaccination, abortion, Trump: Many topics are surrounded by fierce controversies. The nature of such heated debates and their elements have been studied extensively in the social science litera...
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Chapter and Conference Paper
Enriching Media Collections for Event-Based Exploration
Scholars currently have access to large heterogeneous media collections on the Web, which they use as sources for their research. Exploration of such collections is an important part in their research, where s...
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Chapter and Conference Paper
Harnessing Diversity in Crowds and Machines for Better NER Performance
Over the last years, information extraction tools have gained a great popularity and brought significant performance improvement in extracting meaning from structured or unstructured data. For example, named e...
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Chapter and Conference Paper
Capturing the Ineffable: Collecting, Analysing, and Automating Web Document Quality Assessments
Automatic estimation of the quality of Web documents is a challenging task, especially because the definition of quality heavily depends on the individuals who define it, on the context where it applies, and o...
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Chapter and Conference Paper
A Semantic Pattern-Based Recommender
This paper presents a novel approach for Linked Data-based recommender systems through the use of semantic patterns - generalized paths in a graph described through the types of the nodes and links involved. W...
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Chapter and Conference Paper
Using Linked Data to Diversify Search Results a Case Study in Cultural Heritage
In this study we consider wether, and to what extent, additional semantics in the form of Linked Data can help diversifying search results. We undertake this study in the domain of cultural heritage. The data ...
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Chapter and Conference Paper
CrowdTruth: Machine-Human Computation Framework for Harnessing Disagreement in Gathering Annotated Data
In this paper we introduce the CrowdTruth open-source software framework for machine-human computation, that implements a novel approach to gathering human annotation data for a variety of media (e.g. text, image...
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Chapter and Conference Paper
LDtogo: A Data Querying and Map** Frameworkfor Linked Data Applications
Despite its rising popularity, using and managing Linked Data remains a challenge for developers of mainstream web and mobile applications. In this demo we present "LDtogo", a framework that makes it easy for ...
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Chapter and Conference Paper
An Evaluation of Labelling-Game Data for Video Retrieval
Games with a purpose (GWAPs) are increasingly used in audio-visual collections as a mechanism for annotating videos through tagging. This trend is driven by the assumption that user tags will improve video sea...
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Chapter and Conference Paper
Nichesourcing: Harnessing the Power of Crowds of Experts
In this position paper we identify nichesourcing, a specific form of human-based computation that harnesses the computational efforts from niche groups rather than the “faceless crowd”. We claim that nichesour...
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Chapter and Conference Paper
Query Driven Hypothesis Generation for Answering Queries over NLP Graphs
It has become common to use RDF to store the results of Natural Language Processing (NLP) as a graph of the entities mentioned in the text with the relationships mentioned in the text as links between them. Th...
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Chapter and Conference Paper
Personalized Semantic News: Combining Semantics and Television
The integration of semantic technologies and television services is an important innovation in traditional broadcasting in order to improve services delivered to end users in an extended home environment: new ...
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Chapter and Conference Paper
Enhancing Content-Based Recommendation with the Task Model of Classification
In this paper, we define reusable inference steps for content-based recommender systems based on semantically-enriched collections. We show an instantiation in the case of recommending artworks and concepts ba...
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Chapter and Conference Paper
Finding Your Way through the Rijksmuseum with an Adaptive Mobile Museum Guide
This paper describes a real-time routing system that implements a mobile museum tour guide for providing personalized tours tailored to the user position inside the museum and interests. The core of this tour ...
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Chapter and Conference Paper
A Model-Based Approach Providing Context-Sensitive Television Interaction
With this demonstrator of iFanzy, a Personalized Electronic Program Guide, we want to show how we approached the integration problem between various devices and various heterogeneous data sources in the televi...
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Chapter and Conference Paper
Evaluating Interface Variants on Personality Acquisition for Recommender Systems
Recommender systems help users find personally relevant media content in response to an overwhelming amount of this content available digitally. A prominent issue with recommender systems is recommending new c...
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Chapter and Conference Paper
RSS-Based Interoperability for User Adaptive Systems
This paper presents an approach to exploit widely used tag annotations to address two important issues in user-adaptive systems: the cold-start problem and the integration of distributed user models. The paper...
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Chapter and Conference Paper
Convergence of Web and TV Broadcast Data for Adaptive Content Access and Navigation
iFanzy is a personalized TV guide application aiming at offering users television content in a personalized and context-sensitive way. It consists of a client-server system with multiple clients and devices su...
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Chapter and Conference Paper
Accuracy in Rating and Recommending Item Features
This paper discusses accuracy in processing ratings of and recommendations for item features. Such processing facilitates feature-based user navigation in recommender system interfaces. Item features, often in...
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Chapter and Conference Paper
Semantics-Based Framework for Personalized Access to TV Content: The iFanzy Use Case
The ICT landscape is develo** into a highly-interactive distributed environment in which people interact with multiple devices (e.g. portable devices such as mobile phones and home equipment such as TV’s) an...