Analyzing the Applicability of the Linking Open Data Cloud for Context-Aware Services

von Hoffen M, Uzun A, Küpper A

The amount of data within the Linking Open Data (LOD) cloud is steadily increasing and resembles a rich source of information. Since Context-aware Services (CAS) can highly benefit from background information, e.g., about the environment of a user, it makes sense to leverage that enormous amount of data already present in the LOD cloud to enhance the quality of these services. Within this work, the applicability of the LOD cloud as provider for contextual information to enrich CAS is investigated. For this purpose, non-functional criteria of discoverability and availability are analyzed, followed by a presentation of an overview of the different domains covered by the LOD cloud. In order to ease the process of finding a dataset that matches the information needs of a developer of a CAS, techniques for retrieving contents of LOD datasets are discussed and different approaches to condense the dataset to its most important concepts are shown.

cloud computing; data handling; information retrieval; ubiquitous computing; CAS; LOD cloud; LOD datasets; availability criteria; background information; content retrieval; context-aware services; contextual information; discoverability criteria; linking open data cloud; quality of service; Availability; Clouds; Context; IP networks; Motion pictures; Resource description framework; Servers; Context-aware Services; Linked Open Data; Semantic Web

Publication type
Research article in proceedings (conference)

Peer reviewed

Publication status


Eighth IEEE International Conference on Semantic Computing

Newport Beach, California, USA

Pages range