Rita Fleiner

Linked data enrichment with self-unfolding URIs

Linked Data resources are identified by Uniform Resource Identifiers. It is an important step in any Linked Data project to define the conventions for URI assignments. In some cases resources already have their natural identifiers, or they can be inherited from previous databases. However, there are cases when frequent insertions of triple sets occur without any convenient way for identification and grouping of them. In this paper we elaborate on a mechanism that makes handling complex and frequent insertions easier, and also provides the benefits of simple authoring together with rich querying and reasoning on the data. We show how to eliminate some of the time consuming and error prone aspects of Linked Data authoring by introducing the self-unfolding URI concept. This solution generates RDF description to entities based on information encoded in their URIs. For the generation of these new RDF triples we propose templates that can be implemented by SPARQL Insert queries.

Indoor Navigation for Motion Disabled Persons in Medical Facilities

A data model is presented in the form of ontology which includes the indoor location description of hospitals, the indoor navigation features and the accessibility attributes for people with motion disabilities. The possible use of the ontology is demonstrated by outlining some RDF data excerpt, OWL definitions and SPARQL queries for the navigation features of future applications.

Indoor navigation Linked Data at Óbuda University

Publishing information about university buildings in Linked Data format allows the information to be freely consumed and aggregated with other data sources, filtered and delivered via multiple channels and devices to potential users: students, lecturers and visitors of universities. In this paper the loc ontology for indoor navigation is introduced and its usage is demonstrated in publishing the Óbuda University indoor data as LOD. Best practices for indoor modeling of a building is presented and the possible use of the data is demonstrated by outlining some SPARQL queries for the navigation features of future applications.

A case study on Linked Data for University Courses

Obuda University wanted to build a linked dataset describing their courses in the semester. The concepts to be covered included curricula, subjects, courses, semesters and educators. A particular use case needed the description of lecture rooms and events as well. Although there are several ontologies for the mentioned domains, selecting a set of ontologies fitting our use case was not an easy task. After realizing the problems, we created the Ontology for Linked Open University Data (OLOUD) to fill in the gaps between re-used ontologies. OLOUD acts as a glue for a selection of existing ontologies, and thus enables us to integrate data from several sources and to provide practical information services for students and lecturers.

An Overview of Myocardial Infarction Registries and Results from the Hungarian Myocardial Infarction Registry.

Nowadays, several databases store information about patients and diseases, but only a few exists that focus directly on myocardial events and treatments. This paper is divided into two parts. In the first part, we list and summarize the ongoing European myocardial projects (Myocardial Ischaemia National Audit Project (MINAP) in England, Swedish Web-system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies (SWEDEHEART) in Sweden, National Registry of Acute Myocardial Infarction in Switzerland (AMIS Plus) in Switzerland). Where possible, we discuss the validity and accuracy of the stored data. In the second part, we introduce the history and legal environment of the Hungarian Myocardial Infarction Registry (HUMIR), and some research results that were achieved with the help of the information in the Hungarian registry.

Linked data generation for courses and events at Óbuda University

Óbuda University wanted to publish public information related to the university in the form of Linked Open Data. Information about subjects, courses, events and teachers are successfully published using the related standards. We had to collect and categorize the sources where information come from; define a way for each category to make these information available; and develop algorithms and softwares to generate the gathered information in form of Linked Open Data. Finally, the automation of the generation process was partly achieved.

Ontology Extension for Personalized Accessible Indoor Navigation

In this paper an accessibility extension is described for an ontology supporting indoor navigation called iLOC. In iLOC, a basic support for accessible route planning can be found, but the accessibility description of objects like doors, floors, restrooms etc. were based on measurements and accessibility criteria included in the Hungarian government regulations. This regulation is designed to ensure a safe and unobstructed environment for every motion disabled person with every kind of wheelchair, but it can be unnecessarily restrictive for some users. Our accessibility extension adds classes and properties that can be connected to the classes of the original iLOC, and allows of a detailed description of the objects in the building in terms of attributes such as width, height or quantity.

Accessible indoor navigation based on linked data in hospitals

The paper provides a data model in the form of ontology which includes the indoor location description of hospitals, the indoor navigation features and the accessibility attributes for people with motion disabilities. The possible use of the ontology is demonstrated by outlining some SPARQL queries for the navigation features of future applications.

Exposing metadata in BitTorrent as Linked Open Data

The process of obtaining a digital resource in a P2P network consists of three main steps: (1) the identification of the resource using some meta-data information, (2) the identification of the source where the specific content can be downloaded from and (3) the download of the content. Studying BitTorrent as the most successful open Internet application for content distribution one can find that although search is a key part of the its infrastructure, the possibility for meta-data search is completely missing from the system. In this publication we suggest a framework for exposing metadata of available content in BitTorrent as Linked Open Data. This makes it possible to formulate complex queries about the available content for the download. Furthermore we present the design of the concept and a suggestion for the ontology.