Open ebusiness ontology usage: investigating community implementation of goodrelations

The GoodRelations Ontology is experiencing the first stages of mainstream adoption, with its appeal to a range of enterprises as the eCommerce ontology of choice to promote its offerings and product catalogue. As adoption increases, so too does the need to critically review and analyze current implementation of the ontology to better assist future usage and uptake. To comprehensively understand the implementation approaches, usage patterns, instance data and model coverage, data was collected from 105 different web based sources that have published their business and product-related information using the GoodRelations Ontology. This paper analyses the ontology usage in terms of data instantiation, and conceptual coverage using a SPARQL queries to evaluate quality, usefulness and inference provisioning. Experimental results highlight that early publishers of structured eCommerce data benefit more due to structured data being more readily search engine indexable, but the lack of available product ontologies and product master datasheets is impeding the creation of a semantically interlinked eCommerce Web

Secret Codes: The Hidden Curriculum of Semantic Web Technologies

There is a long tradition in education of examination of the hidden curriculum, those elements which are implicit or tacit to the formal goals of education. This article draws upon that tradition to open up for investigation the hidden curriculum and assumptions about students and knowledge that are embedded in the coding undertaken to facilitate learning through information technologies, and emerging ‘semantic technologies’ in particular. Drawing upon an empirical study of case-based pedagogy in higher education, we examine the ways in which code becomes an actor in both enabling and constraining knowledge, reasoning, representation and students. The article argues that how this occurs, and to what effect, is largely left unexamined and becomes part of the hidden curriculum of electronically mediated learning that can be more explicitly examined by positioning technologies in general, and code in particular, as actors rather than tools. This points to a significant research agenda in technology enhanced learning

Detecting and Reporting Extensional Concept Drift in Statistical Linked Data

The RDF Data Cube vocabulary is a catalyst for the availability of statistical Linked Data: raw statistical Linked Data are easy to model in, publish to, and retrieve from the Linked Data cloud. In statistical datasets, concepts are central entities represented by variables and their values. The meaning of these concepts is often assumed to be stable, but in fact it can change over time: we call this concept drift. Extensional concept drift is one type of change of meaning that affects the things the concept extends to. It occurs frequently in historical datasets, and it can have drastic consequences on longitudinal querying. In this paper we propose and use a method to detect extensional concept drift in a dataset modelled using the RDF Data Cube vocabulary: the Dutch historical censuses. We analyze, model and publish back the occurrence of extensional concept drift in concepts of the occupation census, advocating straightforward publishing of results in a pull-push workflow

DataFinland -- A Semantic Portal for Open and Linked Datasets

The number of open datasets available on the web is increasing rapidly with the rise of the Linked Open Data (LOD) cloud and various governmental efforts for releasing public data in different formats, not only in RDF. The aim in releasing open datasets is for developers to use them in innovative applications, but the datasets need to be found first and metadata available is often minimal, heterogeneous, and distributed making the search for the right dataset often problematic. To address the problem, we present DataFinland, a semantic portal featuring a distributed content creation model and tools for annotating and publishing metadata about LOD and non-RDF datasets on the web. The metadata schema for DataFinland is based on a modified version of the voiD vocabulary for describing linked RDF datasets, and annotations are done using an online metadata editor SAHA connected to ONKI ontology services providing a controlled set of annotation concepts. The content is published instantly on an integrated faceted search and browsing engine HAKO for human users, and as a SPARQL endpoint and a source file for machines. As a proof of concept, the system ha