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Semantic IoT Framework is a flexible data management and processing platform for any type of data, built on Semantic Data Platform (SDP). SDP is based on declarative fact oriented approach for modeling, that enables the models to be executable themselves. The declarative nature of data semantics enables defining or modifying of data models dynamically with new concepts, relationships or constraints...
The Semantic Sensor Web paradigm offers to solve the problem of sensors discovery in the Internet of Things by annotating sensors with semantic descriptions using ontologies, enabling the search for sensors by meaning and related concepts. However, the search for user's location-aware sensors, i.e. those can be used to find user's location context, requires substantial knowledge in sensor specifications,...
WordNet is a lexicon widely known and used as an ontological resource hosting comparatively large collection of semantically interconnected words. Use of such resources produces meaningful results and improves users' search experience through the increased precision and recall. This paper presents our facet-enabled WordNet powered semantic search work done in the context of the bioenergy domain. The...
Integration of products in enterprises comes with hard challenges due to several factors such as products developed in house, off the shelf, developed over different time lines, available as services over internet, ever changing product APIs, disconnected data models among the products, extensions developed by partners and customers and many more. We propose Semantic Data Platform (SDP), built around...
Mind maps offer an intuitive way to visualize and organize knowledge in complex domains. They do, however, not support looking at a problem from different angles one perspective at a time. This endeavor either requires multiple maps on one topic or leads to an overly crowded and confusing web-like visualization. While web-like organization of knowledge is highly useful from a representational standpoint...
Internet-of-Things (IoT) and Machine-to-Machine (M2M) communications provide great opportunities to connect various devices, such as sensors and actuators, and to collect and process the gathered data. This in turn, enables the types of services making smart homes and intelligent transportation applications a reality. For applications or services from different verticals (e.g., smart home and smart...
Signaling systems grant safety routes for railway transportation. Recently, the need of interoperable systems among different European countries increases in consequence of the increment of trades. This leads to data integration challenges. Railway operators provide nation-centric systems and tools. To tackle the complexity of this issue, an ontology-based railway model has been realized. Thus, this...
One of the technologies underpinning the future vision of the Web as huge database is Linked Data (LD). LD provides structured data over the Web that is understandable by machines. Therefore, it enables smart queries between different datasets over the Web. Consequently, effective Visual Analytics (VAs) techniques become necessary to efficiently extract and visualize the desired information from these...
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