Research & Innovation

Research & Innovation

Exploring Dynamics and Semantics of User Interests for User Modeling on Twitter for Link Recommendations

User modeling for individual users on the Social Web plays an important role and is a fundamental step for personalization as well as recommendations.

Research & Innovation

Enhancing Marine Industry Risk Management Through Semantic Reconciliation of Underwater IoT Data Streams

"The “Rio+20” United Nations Conference on Sustainable Development (UNCSD) focused on the ""Green economy"" as the main concept to fight poverty and achieve a sustainable way to feed the planet.

Research & Innovation

Linked Open Vocabulary Ranking and Terms Discovery

Searching among the existing 500 and more vocabularies was never easier than today with the Linked Open Vocabularies (LOV) curated directory list. The LOV search provides one central point to explore the vocabulary terms space.

Research & Innovation

Verifiability and Traceability in a Linked Data Based Messaging System

When linked data applications communicate, they commonly use messaging technologies in which the message exchange itself is not represented as linked data, since it takes place on a different architectural level.

Research & Innovation

Don't Compare Apples to Oranges - Extending GERBIL for a Fine Grained NEL Evaluation

In recent years, named entity linking (NEL) tools were primarily developed as general approaches, whereas today numerous tools are focusing on specific domains such as e.g. the mapping of persons and organizations only, or the annotation of locations or events in microposts.

Research & Innovation

A Semantic Approach Towards Implementing Energy Efficient Lifestyles through Behavioural Change

Residential and office buildings have the largest share in energy consumption, followed by transport and industry. At the same time, many buildings do not leverage all feasible opportunities to increase their energy efficiency.

Research & Innovation

Cross-Evaluation of Entity Linking and Disambiguation Systems for Clinical Text Annotation

In this paper we study whether state-of-the-art techniques for multidomain and multilingual entity linking can be ported to the clinical domain.

Research & Innovation

Importing, Translating and Exporting Knowledge via an Ontology of Knowledge Representation Languages

This article introduces KRLO, an ontology of knowledge representation languages (KRLs), the first to represent KRL abstract models in a uniform way and the first to represent KRL notations, i.e., concrete models.

Research & Innovation

Semantic Processing for the Conversion of Unstructured Documents into Structured Information in the Enterprise Context

We present an on-going research project addressing the problem of massive amounts of unstructured data that is generated on a daily basis in most business organisations, regardless of size.

Research & Innovation

Linking Images to Semantic Knowledge Base with User-generated Tags

Images account for an important part of Multimedia Linked Open Data, but currently most of the semantic relations between images and other entities are based on manual semantic annotation.

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