Relational Data Mining Through Extraction of Representative Exemplars

With the growing interest on Network Analysis, Relational Data Mining is becoming an emphasized domain of Data Mining. This paper addresses the problem of extracting representative elements from a relational dataset. After defining the notion of degree of representativeness, computed using the Borda aggregation procedure, we present the extraction of exemplars which are the representative elements of the dataset. We use these concepts to build a network on the dataset. We expose the main properties of these notions and we propose two typical applications of our framework. The first application consists in resuming and structuring a set of binary images and the second in mining co-authoring relation in a research team

Guide on the Side and LibWizard Tutorials side-by-side: How do the two platforms for split-screen online tutorials compare?

Split-screen tutorials are an appealing and effective way for libraries to create online learning objects where learners interact with real-time web content. Many libraries are using the University of Arizona’s award-winning, open source platform, Guide on the Side; in 2016, Springshare released a proprietary alternative, LibWizard Tutorials. This article reviews the advantages and limitations of this kind of tutorial. It also examines the differences between each platform’s distinctive characteristics. These platforms create similar split-screen tutorials, but have differences that affect diverse aspects of installation, administration, authoring and editing, student learning, data management, and accessibility. Libraries now have the opportunity to consider and compare alternative platforms and decide which one is best suited to their needs, priorities and resources

Context-aware Assessment Using QR-codes

In this paper we present the implementation of a general mechanism to deliver tests based on mobile devices and matrix codes. The system is an extension of Siette, and has not been specifically developed for any subject matter. To evaluate the performance of the system and show some of its capabilities, we have developed a test for a second-year college course on Botany at the School of Forestry Engineering. Students were equipped with iPads and took an outdoor test on plant species identification. All students were able to take and complete the test in a reasonable time. Opinions expressed anonymously by the students in a survey about the usability of the system and the usefulness of the test were very favorable. We think that the application presented in this paper can broaden the applicability of automatic assessment techniques.The presentation of this work has been co-founded by the Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

On the evolution of hyperlinking

Across time, the hyperlink object has supported different applications and studies. This is one perspective on the evolution of the hyperlinking concept, its context and related behaviors. Through a spectrum of hyperlinking applications and practices, the article contrasts the status quo with its related, broader, conceptual roots; it also bridges to some theorized and prototyped hyperlink variations, namely "stigmergic hyperlinks", to make the case that the ubiquitousness of some objects and certain usage patterns can obfuscate opportunities to (re)think them. In trying to contribute an answer to "what has the common hyperlink (such an apparently simple object) done to society, and what has society done to it?", the article identifies situations that have become so embedded in the daily routine, that it is now hard to think of hyperlinking alternatives.info:eu-repo/semantics/publishedVersio

Tabulator Redux: writing Into the Semantic Web

A first category of Semantic Web browsers were designed to present a given dataset (an RDF graph) for perusal, in various forms. These include mSpace, Exhibit, and to a certain extent Haystack. A second category tackled mechanisms and display issues around linked data gathered on the fly. These include Tabulator, Oink, Disco, Open Link Software's Data Browser, and Object Browser. The challenge of once that data is gathered, how might it be edited, extended and annotated has so far been left largely unaddressed. This is not surprising: there are a number of steep challenges for determining how to support editing information in the open web of linked data. These include the representation of both the web of documents and the web of things, and the relationships between them; ensuring the user is aware of and has control over the social context such as licensing and privacy of data being entered, and, on a web in which anyone can say anything about anything, helping the user intuitively select the things which they actually wish to see in a given situation. There is also the view update problem: the difficulty of reflecting user edits back through functions used to map web data to a screen presentation. In the latest version of the Tabulator project, described in this paper we have focused on providing the write side of the readable/writable web. Our approach has been to allow modification and addition of information naturally within the browsing interface, and to relay changes to the server triple by triple for least possible brittleness (there is no explicit 'save' operation). Challenges which remain include the propagation of changes by collaborators back to the interface to create a shared editing system. To support writing across (semantic) Web resources, our work has contributed several technologies, including a HTTP/SPARQL/Update-based protocol between an editor (or other system) and incrementally editable resources stored in an open source, world-writable 'data wiki'. This begins enabling the writable Semantic Web

The evolution of a cooperative work framework for e-Learning

This paper details the evolution of a Framework for e-Learning, to a Cooperative Work Framework for e-Learning, as presented at the IASK conference (Graham 2008a) and annotated accordingly. It begins by discussing the development of the original Framework for e-Learning, and how this study resulted in a further study investigating whether the use of Blended Learning could fulfill or at least accommodate some of the human requirements presently neglected by current e-Learning systems as identified by the original Framework. This second study evaluated an in-house system: Teachmat, and discussed how the use of Blended Learning had become increasingly prevalent as a result of the enhancement and expansion of Teachmat. It looked at the employment of Blended Learning and Teachmat’s relationship to human and pedagogical issues, as well as both the positive and negative implications of this reality. PESTE factors from Sociology were then applied to appraise the adoption of e-Learning, leading to the proposal of PESTE factors for educational software and e-Learning in particular. Finally, the study evolved to reconsider e-Learning in relation to a Cooperative Work Framework, revealing critical weakness in the fundamental nature of e-Learning and its consequent propensity for failure