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Chapter and Conference Paper
Characterizing Comment Types and Levels of Engagement in Video-Based Learning as a Basis for Adaptive Nudging
Video is frequently used as a learning medium in a variety of educational settings, including large online courses as well as informal learning scenarios
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Chapter and Conference Paper
ATU-DSS: Knowledge-Driven Data Integration and Reasoning for Sustainable Subsurface Inter-asset Management
Urban infrastructure assets perform critical functions to the health and well-being of the society. In this paper, we present a prototype decision support system for sustainable subsurface inter-asset manageme...
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Chapter and Conference Paper
Evaluating Knowledge Anchors in Data Graphs Against Basic Level Objects
The growing number of available data graphs in the form of RDF Linked Data enables the development of semantic exploration applications in many domains. Often, the users are not domain experts and are therefo...
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Chapter and Conference Paper
A Semantic-Driven Model for Ranking Digital Learning Objects Based on Diversity in the User Comments
This paper presents a computational model for measuring diversity in terms of variety, balance and disparity. This model is informed by the Stirling’s framework for understanding diversity from social science ...
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Chapter and Conference Paper
An Ontology of Soil Properties and Processes
Assessing the Underworld (ATU) is a large interdisciplinary UK research project, which addresses challenges in integrated inter-asset maintenance. As assets on the surface of the ground (e.g. roads or pavement...
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Chapter and Conference Paper
PADTUN - Using Semantic Technologies in Tunnel Diagnosis and Maintenance Domain
A Decision Support System (DSS) in tunnelling domain deals with identifying pathologies based on disorders present in various tunnel portions and contextual factors affecting a tunnel. Another key area in diag...
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Chapter and Conference Paper
Using DBpedia as a Knowledge Source for Culture-Related User Modelling Questionnaires
In the culture domain, questionnaires are often used to obtain profiles of users for adaptation. Creating questionnaires requires subject matter experts and diverse content, and often does not scale to a varie...
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Chapter and Conference Paper
Assisting User Browsing over Linked Data: Requirements Elicitation with a User Study
There are growing arguments that linked data technologies can be utilised to enable user-oriented exploratory search systems for the future Internet. Recently, search over linked data has been studied in diffe...
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Chapter and Conference Paper
Semantic Social Sensing for Improving Simulation Environments for Learning
The rapidly growing learning simulations market calls urgently for innovative ways to facilitate the simulation design process [1],[2]. Social spaces can provide an extensive source of reports on individuals’ ...
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Chapter and Conference Paper
Semantic Aggregation and Zooming of User Viewpoints in Social Media Content
Social web provides rich content for gaining an understanding about the users which can empower adaptation. There is a current trend to extract user profiles from social media content using semantic augmentati...
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Chapter and Conference Paper
From Polygons and Timestamps to Dynamic Geographic Features: Grounding a Spatio-temporal Geo-ontology
This paper presents a knowledge representation approach to modelling and manipulating spatio-temporal data and to grounding a spatio-temporal geographic ontology upon the data. This approach has been developed...
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Chapter and Conference Paper
I-CAW: Intelligent Data Browser for Informal Learning Using Semantic Nudges
This demonstration will present a system, called I-CAW, which aggregates content from social spaces into a semantic-enriched data browser to promote informal learning. The work pioneers a new way to interact w...
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Chapter and Conference Paper
Taming Digital Traces for Informal Learning: A Semantic-Driven Approach
Modern learning models require linking experiences in training environments with experiences in the real-world. However, data about real-world experiences is notoriously hard to collect. Social spaces bring ne...
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Chapter and Conference Paper
Adult Self-regulated Learning through Linking Experience in Simulated and Real World: A Holistic Approach
This research considers the application of simulated environments for adult training, and adopts the view that effective adaptive solutions for adults should be underpinned by appropriate adult learning theori...
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Chapter and Conference Paper
Identifying Geographical Processes from Time-Stamped Data
Humans tend to interpret a temporal series of geographical spatial data in terms of geographical processes. They also often ascribe certain properties to processes (e.g. a process may be said to accelerate). Give...
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Chapter and Conference Paper
Rabbit to OWL: Ontology Authoring with a CNL-Based Tool
Recent work on ontology engineering has seen the adoption of controlled natural languages to ease the process of ontology authoring. However, CNL-based tools still require good knowledge engineering skills to ...
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Chapter and Conference Paper
Analyzing Community Knowledge Sharing Behavior
The effectiveness of personalized support provided to virtual communities depends on what we know about a particular community and in which areas the community may need support. Following organizational psycho...
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Chapter and Conference Paper
Modelling Semantic Relationships and Centrality to Facilitate Community Knowledge Sharing
Some of today’s most widely spread applications are social systems where people can form communities and share knowledge. However, knowledge sharing is not always effective and communities often do not sustain...
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Chapter and Conference Paper
An Evidence-Based Approach to Handle Semantic Heterogeneity in Interoperable Distributed User Models
Nowadays, the idea of personalization is regarded as crucial in many areas. This requires quick and robust approaches for develo** reliable user models. The next generation user models will be distributed (s...
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Chapter and Conference Paper
Recomindation: New Functions for Augmented Memories
Advances in technological support for augmented personal memories make possible new ways of enhancing the process of product recommendation. Instead of simply analyzing information about a user’s past behavior...