9 research outputs found

    CURIOS:Web-based presentation and management of linked datasets

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    A number of systems extend the traditional web and Web 2.0 technologies by providing some form of integration with semantic web data [1,2,3]. These approaches build on tested content management systems (CMSs) for facilitating users in the semantic web. However, instead of directly managing existing linked data, these systems provide a mapping between their own data model to linked datasets using an RDF or OWL vocabulary. This sort of integration can be seen as a read-only or write-only approach, where linked data is either imported into or exported from the system. The next step in this evolution of CMSs is a full integration with linked data: allowing ontology instances, already published as linked data, to be directly managed using widely used web content management platforms. The motivation is to keep data (i.e., linked data repositories) loosely-coupled to the tool used to maintain them (i.e., the CMS). In this poster, we extend [3], a query builder for SPARQL, with an update mechanism to allow users to directly manage their linked data from within the CMS. To make the system sustainable and extensible in future, we choose to use Drupal as the default CMS and develop a module to handle query/update against a triple store. Our system, which we call a Linked Data Content Management System (Linked Data CMS) [4], performs similar operations to those of a traditional CMS but whereas a traditional CMS uses a data model of content types stored in some relational database backend, a Linked Data CMS performs CRUD (create, read, update, and delete) operations on linked data held in a triple store. Moreover, we show how the system can assist users in producing and consuming linked data in the cultural heritage domain and introduce 2 case studies used for system evaluation

    Towards more effective online environmental information provision through tailored natural language generation: profiles of Scottish river user groups and an evaluative online experiment

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    As a result of societal transformations, political governance shifts, and advances in ICT, online information has become a crucial dimension in efforts by public authorities to make citizens better stewards of the environment. Yet their environmental information provision often lacks focus and knowledge of end users’ rationales, behaviours and appreciations. Our case study was dynamic river level information provided by an environmental regulator – updated once a day or more, and collected by a sensor network of 333 gauging stations along 232 Scottish rivers. We examined if profiling of web page user groups (phase 1 of this study) and the subsequent associated employment of a specially designed Natural Language Generation (NLG) system (phase 2), could be steps towards more effective (tailored) online information provision. We employed an online survey (ran over 222 days, n=1264), interviews (n=32), workshops (n=15), as well as a small-scale yet advanced online experiment to evaluate (additional) information provision through NLG (including pre- and post-experiment surveys, ‘like’ buttons, feedback boxes and the monitoring of website visit behaviour through mouse clicks and time spent on 2 sections). In phase 1, we identified and described profiles for the three main user groups: ‘fishing’, ‘flood risk related’, and ‘kayaking’. The clear delineation and existence of welldistinguishable rationales was in itself an argument for profiling; the same river level information was used in entirely different ways by the three groups. Still, in terms of provided information categories through Natural Language Generation (phase 2), the category of ‘temporal trend’ came out as most important. The experiment also showed that, besides visual information, textual information can (still) be of much value; the additional textual layer of interpretation plays an important role in translating complex technical information to straightforward messages for the specific purposes of the user groups. A key recommendation is that tailoring of environmental information merits more attention as it can aid more effective, and potentially more inclusive, information provision and communication
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