Innovative Education Environment and Open Data Initiative : Steps t owards User - P owered Society - O riented Systems

The economy is not keeping pace with the increasing speed of technological evolution. The inadequacy of the current system of education is a possible reason for this. Evolution forces us to produce experts for tasks and businesses which do not yet exist, to teach them technologies which have not yet been devised. The best way to produce experts is to accentuate the learner’s best abilities and skills, assess the learner’s potential and develop it further. We badly need revolutionary methods to facilitate intelligent personalization of study processes and approaches to make innovative education content more attractive and motivational for the learner. Advanced information management services and platforms play a valuable role in education process development, enabling new generations of students and education-related content providers to create, share, search, combine and deliver reliable and competent information. Earlier learner involvement in study content co-creation or personalization processes might dramatically increase student motivation and speed up the study process. Like any other products or services, e-Learning services need marketing to attract customers and make them a valuable source. To achieve a vision of ubiquitous knowledge, the next generation of innovative education environments will apply the achievements of the Open Data initiative and move towards learner-driven society-oriented systems. Therefore, this paper touches on different aspects of co-creative innovative education environment and correspondent e-Learning marketing strategies

Knowledge Propagation in Contextualized Knowledge Repositories: an Experimental Evaluation

As the interest in the representation of context dependent knowledge in the Semantic Web has been recognized, a number of logic based solutions have been proposed in this regard. In our recent works, in response to this need, we presented the description logic-based Contextualized Knowledge Repository (CKR) framework. CKR is not only a theoretical framework, but it has been effectively implemented over state-of-the-art tools for the management of Semantic Web data: inference inside and across contexts has been realized in the form of forward SPARQL-based rules over different RDF named graphs. In this paper we present the first evaluation results for such CKR implementation. In particular, in first experiment we study its scalability with respect to different reasoning regimes. In a second experiment we analyze the effects of knowledge propagation on the computation of inferences.Comment: ARCOE-Logic 2014 Workshop Notes, pp. 13-2

Cognitive Computing supported Medical Decision Support System for Patient’s Driving Assessment

To smartly utilize a huge and constantly growing volume of data, improve productivity and increase competitiveness in various fields of life; human requires decision making support systems that efficiently process and analyze the data, and, as a result, significantly speed up the process. Similarly to all other areas of human life, healthcare domain also is lacking Artificial Intelligence (AI) based solution. A number of supervised and unsupervised Machine Learning and Data Mining techniques exist to help us to deal with structured data. However, in a real life, we pretty much deal with unstructured data that hides useful knowledge and valuable information inside human-readable plain texts, images, audio and video. Therefore, such IT giants as IBM, Google, Microsoft, Intel, Facebook, etc., as well as variety of SMEs are actively elaborating different Cognitive Computing services and tools to get a value from unstructured data. Thus, the paper presents feasibility study of IBM Watson cognitive computing services and tools to address the issue of automated health records processing to support doctor’s decision for patient’s driving assessment

Semantic UI: Automated Creation of Semantically Personalized User Interface

Information representation plays very important role for services and applications to be more attractive for end user. One design cannot fit varied preferences and be suitable for all users. User driven customization of user interface applied for particular application or service do not influence at overall satisfaction of a user and usability of other applications and services. Therefore, in the paper authors tackle challenges of UI personalization on semantic level; and present a framework for adaptive UI development, driven by personal semantic user profile and mashup of reusable adaptive visualization modules. Considering human as a powerful integrated part of IoT environment, UI adaptation and personalization framework has been extended with automated ontology-based UI creation (Semantic Scanner concept). Presented approach of on-the-fly semantically-driven adaptive UI creation facilitates a process of human integration into machine-oriented infrastructure

Justifiable Exceptions in General Contextual Hierarchies

The problem of representing and reasoning with context dependent knowledge has recently gained interest in the area of description logics: among the several proposals, we consider the Contextualized Knowledge Repository (CKR) framework. In CKR applications it is often useful to reason over a hierarchical organization of contexts: for this reason, in our recent work we extended the CKR model to allow for the representation of exception handling in the inheritance of knowledge across contexts. However, to simplify the definition of reasoning procedures, we limited our approach to a particular kind of context organization, i.e. ranked hierarchies. In this paper, we further develop the proposal to extend the reasoning on exception handling for CKRs with general contextual hierarchies. We adapt the semantics (on a core version of CKR) to cope with contextual defeasible axioms in general hierarchies; on the base of this, we define an ASP based reasoning procedure that is complete w.r.t. instance checking under the proposed semantics for general contextual hierarchies