Linked data enrichment with self-unfolding URIs

Szász, Barnabás; Fleiner, Rita; Micsik, András

doi:10.1109/sami.2016.7423025

Cited by 4 publications

(7 citation statements)

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“…For example, URIs can comprise some structure, such as a directory scheme. Moreover, in a recent article by Szász et al [57], the authors discussed the idea of self-unfolding semantic URIs, where such URIs follow a specific pattern and template that would result into a set of RDF triples "on-demand". These self-unfolding URIs might be longer than the 80 character limit, but the benefits of such URIs include frequent complex insertion in RDF triple stores, for example in sensor network streams.…”

Section: (Rc1) Keeping Uris Shortmentioning

confidence: 99%

Evaluating the quality of the LOD cloud: An empirical investigation

Debattista

Lange

Auer

et al. 2018

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The increasing adoption of the Linked Data principles brought with it an unprecedented dimension to the Web, transforming the traditional Web of Documents to a vibrant information ecosystem, also known as the Web of Data. This transformation, however, does not come without any pain points. Similar to the Web of Documents, the Web of Data is heterogenous in terms of the various domains it covers. The diversity of the Web of Data is also reflected in its quality. Data quality impacts the fitness for use of the data for the application at hand, and choosing the right dataset is often a challenge for data consumers. In this quantitative empirical survey, we analyse 130 datasets (≈ 3.7 billion quads), extracted from the latest Linked Open Data Cloud using 27 Linked Data quality metrics, and provide insights into the current quality conformance. Furthermore, we publish the quality metadata for each assessed dataset as Linked Data, using the Dataset Quality Vocabulary (daQ). This metadata is then used by data consumers to search and filter possible datasets based on different quality criteria. Thereafter, based on our empirical study, we present an aggregated view of the Linked Data quality in general. Finally, using the results obtained from the quality assessment empirical study, we use the Principal Component Analysis (PCA) test in order to identify the key quality indicators that can give us sufficient information about a dataset's quality.

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Section: (Rc1) Keeping Uris Shortmentioning

confidence: 99%

Evaluating the quality of the LOD cloud: An empirical investigation

Debattista

Lange

Auer

et al. 2018

View full text Add to dashboard Cite

show abstract

“…During the ontology evaluation, it was inspected whether the original objectives and expectations were met. We tested the complex use cases with implementing different SPARQL queries answering the questions in section 2 [34]. The OOPS!…”

Section: Discussionmentioning

confidence: 99%

OLOUD - An Ontology for Linked Open University Data

Fleiner¹,

Szász²,

Micsik³

2017

ACTA POLYTECH HUNG

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The Ontology for Linked Open University Data (OLOUD) is a practical approach to model course information at a typical Hungarian university. OLOUD aims to integrate data from several sources and provide personal timetables, navigation and other types of help for students and lecturers. The modeled domains include curricula, subjects, courses, semesters and personnel, but also buildings and events. Although there are several ontologies for the mentioned domains, selecting a set of ontologies fitting our use case was not an easy task. We summarize problems we met such as missing links, inconsistencies as well as many overlaps between ontologies. Finally, OLOUD acts as a glue for a selection of existing ontologies, and thus enables us to formulate SPARQL queries for a wide range of practical questions of university students.

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“…The triples representing such information need the introduction of several additional individuals, hence the management of such information is time consuming and error prone. The generation of course time data was implemented according to an automatized process described in [14] and complete examples can be found on the web 4 .…”

Section: Fig 2 Main Classes and Properties In Oloudmentioning

confidence: 99%

A Case Study on Linked Data for University Courses

Szász

Fleiner

Micsik

2017

Lecture Notes in Computer Science

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Abstract. Óbuda 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 formulate SPARQL queries for a wide range of practical questions of university students. OLOUD integrates data from several sources and provides personal timetables, navigation and other types of help for students and lecturers.Keywords: Ontology · Linked Open Data · Linked Open University Data · SPARQL IntroductionIn this paper we focus on a special segment of open data at the university domain: university courses. We aim to facilitate the implementation of Smart Universities [1] by defining a common data model for course information. Ontological representation as the most modern description method for the problem domain was chosen. Originally our objective was to develop a generic data model for university course related data. During our work we noticed that though the Bologna Process ensures a certain level of compatibility for education systems in the EU, this does not reach deeper constructs regarding the educational model. We found that the meaning of the main concepts (like course, subject and study programme) is quite different in currently available educational models in Europe. Presenting course related information requires a lot of data originating from multiple information systems at a typical university. As these systems are usually not fully integrated and the access to the data is limited, significant effort is necessary to suc-

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Linked data enrichment with self-unfolding URIs

Cited by 4 publications

References 10 publications

Evaluating the quality of the LOD cloud: An empirical investigation

Evaluating the quality of the LOD cloud: An empirical investigation

OLOUD - An Ontology for Linked Open University Data

A Case Study on Linked Data for University Courses

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