Semantic Web

Generic Rules for the Discovery of Subsumption Relationships based on Ontological Contexts

Structured data extracted from the Web is highly heterogeneous due to its disparate origins and nature. There exist some techniques to integrate this information based on the extraction of synonymy relationships among the different entities involved. …

Semantic Reasoning on Mobile Devices: Do Androids Dream of Efficient Reasoners?

The massive spread of mobile computing in our daily lives has attracted a huge community of mobile application (apps) developers. These developers can take advantage of the benefits of semantic technologies (such as knowledge sharing and reusing, and …

Are Apps Going Semantic? A Systematic Review of Semantic Mobile Applications

With the widespread availability of cheap but powerful mobile devices and high-speed mobile Internet, we are witnessing an unprecedented growth in the number of mobile applications (apps). In this paper, we present a systematic review of mobile apps …

Building a Mobile Applications Knowledge Base for the Linked Data Cloud

The number of mobile applications (apps) in major app stores exceeded one million in 2013. While app stores provide a central point for storing app metadata, they often impose restrictions on the access to this information thus limiting the potential …

Mobile Endpoints: Accessing Dynamic Information from Mobile Devices

Mobipedia: Mobile Applications Linked Data

Chapter 4: Emerging Semantic-Based Applications

The OWL Reasoner Evaluation Goes Mobile

The advantage of using semantic reasoners based on Description Logics (DL) for the development of intelligent systems is doubtless: They make easy the optimal management of knowledge (expressed as ontologies). Reasoning is a complex and …

Emergency Management Using SHERLOCK

Emergency management has attracted the focus of mobile computing research in the last years due to the flexibility that it provides in critical scenarios. The lack of a pre-existing infrastructure or even a communication breakdown are important …

Robust Semantic Text Similarity Using LSA, Machine Learning, and Linguistic Resources

Semantic textual similarity is a measure of the degree of semantic equivalence between two pieces of text. We describe the SemSim system and its performance in the *SEM 2013 and SemEval-2014 tasks on semantic textual similarity. At the core of our …