The aim of this paper is to discuss how distributed learner modelling can benefit from semantic web technologies and which challenges have to be solved in this new environment. Heterogeneity of personalization techniques and their needs raise the question whether we can agree on one common data model for user profiles, which supports these techniques. In this paper we discuss an approach where ...

The details of reasoning in RDF [2] and RDFS [1] are generally well known. There is a model-theoretic semantics for RDF [3, 4] and there are sound and complete proof theories for RDF without datatypes [6]. However, the model-theoretic characteristics of RDF have been less studied, particularly when datatypes are added. We show that RDF reasoning can be performed by only considering finite model...

The Resource Description Framework (RDF) is a flexible model for representing information about resources in the web. With the increasing amount of RDF data which is becoming available, efficient and scalable management of RDF data has become a fundamental challenge to achieve the Semantic Web vision. We present a flexible and adaptable approach for achieving efficient and scalable management o...

in this paper, the quantitative structure activity-relationship (qsar) of the ccr2b receptor inhibitors was scrutinized. firstly, the molecular descriptors were calculated using the dragon package. then, the stepwise multiple linear regressions (sw-mlr) and the genetic algorithm multiple linear regressions (ga-mlr) variable selection methods were subsequently employed to select and implement th...

Topic maps have many similarities to RDF but are distinct historically, technically and in their main intended purpose. They started in the early 90s and were published as an ISO standard in 2000 while RDF started in the late 90’s and was published as a W3C Recommendation in 2004. Each has it’s own constraint language, data model, and set of syntaxes. Topic Maps define a knowledge representatio...

In 2013/14 the Deutsche Digitale Bibliothek (DDB) changed its data model from the CIDOC conceptual reference model to the Europeana Data Model (EDM). This decision was taken against the background of two major mandates the DDB has to fulfill: as a portal and as a platform the DDB is providing access to digital objects from German cultural heritage and research institutions. The DDB also aims to...

We study the problem of schema evolution in the RDF data model. RDF and the RDFS schema language are W3C standards for flexibly modeling and sharing data on the web. Although schema evolution has been intensively studied in the database and knowledge-representation communities, only recently has progress been made on the study of RDFS schema evolution. Indeed, the flexible nature of RDF poses n...

The Resource Description Framework (RDF) stems from the Semantic Web but can also be regarded simply as a data model, independent of its origins. Its simple structure is ideal for describing and merging heterogeneous data from different sources quickly, without having to design a complex schema first. The different nature of RDF requires new approaches for data management and query processing a...

Time management is a key feature needed in any query language for web and semistructured data. However, only recently this has been addressed by the Semantic Web community, through the study of temporal extensions to RDF (Resource Description Framework). In this paper we show that the ability of the RDF data model of handling unknown resources by means of blank nodes, naturally yields a rich fr...

Many RDF systems support reasoning with Datalog rules via materialisation, where all conclusions of data and the are precomputed explicitly stored in a preprocessing step. As amount used applications keeps increasing, processing large datasets often requires distributing cluster shared-nothing servers. While numerous distributed query answering techniques known, materialisation is less well und...