Query Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing

Ontology-based visual query formulation is a viable alternative to textual query editors in the Semantic Web domain for extracting data from structured data sources in terms of the skills and knowledge required. A visual query system is at any moment responsible for providing the user with query extension suggestions; however, suggestions leading to empty results are often not useful. To this end, in this article, we first present an approach for projecting OWL 2 ontologies into navigation graphs to be used for query formulation and then a solution where an efficient finite index is used to calculate non-ranked approximated extension suggestions for ontology-based visual query systems using navigation graphs. The results of our experiments suggest that one can efficiently project an ontology into a navigation graph, query it for running an interactive user interface, and suggest query extensions that do not lead to dead-ends

INDCOR white paper on the Design of Complexity IDNs

This white paper was written by the members of the Work Group focusing on design practices of the COST Action 18230 - Interactive Narrative Design for Complexity Representation (INDCOR, WG1). It presents an overview of Interactive Digital Narratives (IDNs) design for complexity representations through IDN workflows and methodologies, IDN authoring tools and applications. It provides definitions of the central elements of the IDN alongside its best practices, designs and methods. Finally, it describes complexity as a feature of IDN, with related examples. In summary, this white paper serves as an orienting map for the field of IDN design, understanding where we are in the contemporary panorama while charting the grounds of their promising futures

INDCOR White Paper 2: Interactive Narrative Design for Representing Complexity

This white paper was written by the members of the Work Group focusing on design practices of the COST Action 18230 - Interactive Narrative Design for Complexity Representation (INDCOR, WG1). It presents an overview of Interactive Digital Narratives (IDNs) design for complexity representations through IDN workflows and methodologies, IDN authoring tools and applications. It provides definitions of the central elements of the IDN alongside its best practices, designs and methods. Finally, it describes complexity as a feature of IDN, with related examples. In summary, this white paper serves as an orienting map for the field of IDN design, understanding where we are in the contemporary panorama while charting the grounds of their promising futures.Comment: 11 pages, This whitepaper was produced by members of the COST Action 18230 - Interactive Narrative Design for Complexity Representation (INDCOR - https://indcor.eu

The Smart-Vercauteren Fully Homomorphic Encryption Scheme

We give a review of the Smart-Vercauteren fully homomorphic encryp-tion scheme presented in 2010. The scheme follows Craig Gentry sblueprint of first defining a somewhat homomorphic encryption scheme,and prove that it is bootstrappable. This is then used to create the fullyhomomorphic scheme. Compared to the original paper by Smart andVercauteren, we give a more comprehensive background, and explainsthe concepts of the scheme more in detail. This text is therefore wellsuited for readers who find Smart and Vercauteren s paper too brief

Adaptive Query Extension Suggestions for Ontology-Based Visual Query Systems

Many modern search systems allow users to narrow down their search by applying one or more search filters to the available data. This works well until the combination of filters becomes too restrictive, and no results remain. When this happens, the user needs to backtrack and remove the filter they just added, which is very counterproductive. In order to prevent this from happening, the search system should detect and disable too restrictive filters before the user activates any of them. Current solutions are only able to do this in some special situations, but the solution presented in this thesis is more flexible and works in any situation

Narrative's Impact on Quality of Experience in Digital Storytelling

Så lenge der har vore menneske har historieforteljing også vore til. Måtane vi fortel historier på har utvikla seg saman med teknologiske framsteg. Dette har ført til tilsynekomsten til digital historieforteljing, som legg vekt på multimodalitet så vel som interaksjon. Blant dei nylege framstega i digital historieforteljing vil denne rapporten fokusere på lokasjonsbaserte prosjekt og sensorbaserte narrativ. Dette prosjektet ser på korleis narrativet påverkar opplevd kvalitet til ein brukar i ei digital historie. Dette er gjort ved å lage og implementere ei lokasjonsdriven digital historie basert på trollhistorier frå Trollheimen i Noreg. Narrativet presenterast til brukaren gjennom ein utvida røyndom-applikasjon laga i Unity på ei mobil eining. Narrativet er drive av lokasjon som skaffast ved å spore brukarens rørsler med OptiTrack-systemet. Dette narrativsystemet har så blitt evaluert av 30 personar som har delteke i ei subjektiv evaluering. Dette har blitt gjort med to forskjellige eksperimentoppsett: eit som er narrativbasert, og eit som er instruksjonsbasert. Resultata viser at narrativoppsettet resulterer i ei rikare, meir levande og meir engasjerande erfaring. Denne effekten minkar viss ein eksponerast for begge oppsetta. Når det gjeld vanskegrad viste vi at for deltakarane som gjorde begge oppsetta, så viste instruksjonsoppsettet seg å vere signifikant enklare enn den narrativdrivne tilnærminga

GeoGebra i Matematikk 1T. Frå lærarane i faget sin synsvinkel

Summary For 25 years, calculators with graphical window and later software on PC have been used as a digital aid in mathematics in upper secondary schools in Norway. In the last 10 years it is GeoGebra that has largely become standard. Many of those who are starting in upper secondary school choose the mathematics subject 1T the first year at school, and there they meet digital tools in mathematics to a greater extent than they have experienced earlier. For their final exam, these pupils must use both graphing and CAS in GeoGebra. I have used the quantitative method to ask teachers in the subject mathematics 1T of how they consider the digital aid GeoGebra. I do not find corresponding research with quantitative method in this context, and therefore I have little to compare with. The research I find that is similar, to a certain degree, is the research of Sigbjørn Hals from 2010. My problem statement is: How do the teachers consider the digital aid GeoGebra in mathematics 1T? The problem statement has been specified in these research questions: 1. What have the teachers received from GeoGebra training, and does this training provide basis for TPACK? 2. How do teachers organize teaching when GeoGebra is in use? 3. What opinions, and attitudes, do teachers have regarding GeoGebra and the 3 modules? 4. How much of the time spent using GeoGebra is used for each of the 3 modules CAS, dynamic geometry program and graphing? 5. What module would teachers choose to get rid of, if they had to choose one? Important findings on how teachers evaluate the digital aid GeoGebra in mathematics 1T: - The training in GeoGebra has largely been self-study and colleague collaboration. There has been lack of TPACK-related content in courses. - Teachers have positive opinions about GeoGebra, and especially considering it a good tool for visualization - Teachers consider graphing as the best tool for deep learning and understanding for students in mathematics 1T. Dynamic geometry program also gets good assessment, while CAS gets a significantly poorer assessment from the teachers as a good aid for deep learning and increased understanding. In one year, there will be a revised curricula for the subjects in upper secondary education. In depth-learning is an important part of the new overall part of the curriculum. If those who design the curriculum and the exam believe in dept-learning is important, they should listen to what teachers in mathematics 1T say about what is a good digital aid for deep learning and increased understandin

Never Mind the Semantic Gap: Modular, Lazy and Safe Loading of RDF Data (Full Paper)

Any attempt at a tight integration between semantic technologies and object oriented programming will invariably stumble over the gap between the two underlying object models. We illustrate how this semantic gap manifests from the point of view of data retrieval with SPARQL. We present a novel mechanism to load data from RDF knowledge graphs into object-oriented languages that gives static guarantees about the data access and modularly integrates the mapping between the program and the RDF view with the class definition in the program. This allows us to preserve the separation of concerns between the class system of RDF (geared towards domain modeling and data), and that of the program (geared towards typing and code reuse). Loading of RDF can be performed lazily, when required by the program, based on query-futures - subqueries that are only evaluated if and when the data is accessed. We formulate a Liskov principle for the mapping queries to characterize when they respect the subclass relation. Moreover, we provide tool support to detect when the user-provided mapping would cause the loading mechanisms to result in data structures that manifest the semantic gap