Linked Data Analytics Tool

Current analytics tools and data mining techniques are mostly restricted to isolated datasets and therefore remain primarily stand alone and specialized in nature. In many cases, such datasets impose limitations towards answering complex and interdisciplinary questions that require the establishment of association links among similar entities and concepts. In order to establish such associations, the […]

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Revealing insights for the OTC liberalisation scenario through LinDA workbench

“Despite the global financial crisis, sales of OTC medicines have continued to rise, spurred by a swath of recent innovation, greater promotion of self-medication and increased access through expanding channels of distribution. Consistently outperforming the pharmaceutical sector, the OTC market is now a key source of business expansion and competitive edge. In Europe, powerful dynamics […]

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Linked Data Primer

We will make an introduction to Linked Data by providing a concrete example. Let’s suppose you are a company and you have your customer list in an excel file (or a database table): The file contains information about specific columns (Customer Name, Contract, Birth-date, and Country). This list is probably stored on a specific path […]

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Linked Data: Opportunities for SMEs – Why LinDA can stimulate new business models

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Today’s information economy calls for enterprises and SMEs that are capable to rapidly extract valuable information from various data sources and transform them into intelligence in order to gain (or retain) their competitive advantage, forecast future conditions and transform themselves into intelligent based and information rich entities that are going beyond their traditional business practises, […]

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LinDA Publication and Consumption Framework

A more technical perspective on the LinDA toolset…. Due to the proliferation of available public sector data sources and initiatives, the interlinking and combination of such datasets has become a topic of major interest within SME information managers. While more agile options for data integration are being requested, conventional methods of data integration are not […]

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