Tirthankar DasguptaLipika DeyAbir NaskarRupsa Saha
User modeling for individual users on the Social Web plays an important role and is a fundamental step for personalization as well as recommendations. Recent studies have proposed different user modeling strategies considering various dimensions such as temporal dynamics and semantics of user interests.
"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. For coastal countries, this concept translates into ""Blue economy"", the sustainable exploitation of marine environments to fulfill humanity needs for resources, energy, and food.
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. However, it can be still cumbersome for non-experts or semantic annotation experts to discover the appropriate terms for the description of given website content.
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. When a message cannot be verified and traced on the linked data level, trust in data is moved from message originators to service providers.
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. However, the available benchmark datasets used for the evaluation of NEL tools do not reflect this focalizing trend.
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. Particularly, the solutions influencing the behaviour of the end-users are lacking.
In this paper we study whether state-of-the-art techniques for multidomain and multilingual entity linking can be ported to the clinical domain.
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. Thus, KRLO can help design tools handling many KRLs and letting their end-users design or adapt KRLs.
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. Our motivation is to support in particular small and medium seized enterprises to gain a competitive advantage in the market.