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To Tag or Not to Tag ? Harvesting Adjacent Metadata in Large-Scale Tagging Systems

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Shared metadata for data-centric materials science

Giovanni Pizzi, Ronald Earle Miller, Gian-Marco Rignanese, Carsten Baldauf, Matthias Scheffler, Tristan Bereau

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Background: New experimental methods must be developed to study interaction networks in systems biology. To reduce biological noise, individual subjects, such as single cells, should be analyzed using high throughput approaches. The measurement of several ...

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What impacts skin color in digital photos?

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Skin colors are important for a broad range of imaging applications to assure quality and naturalness. We discuss the impact of various metadata on skin colors in images, i.e. how does the presence of a metadata attribute influence the expected skin color ...

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Personalizing Top-k Processing Online in a Peer-to-Peer Social Tagging Network

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The rapidly increasing amount of user-generated content in social tagging systems provides a huge source of information. Yet, performing effective search in these systems is very challenging, especially when we seek the most appropriate items that match a ...

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Tagging in online social networks is very popular these days, as it facilitates search and retrieval of diverse resources available online. However, noisy and spam annotations often make it difficult to perform an efficient search. Users may make mistakes ...

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Web 2.0 streams, like blog postings, microblogging tweets, or RSS feeds from online communities, offer a wealth of latest news about real-world events and societal discussion. From a user’s perspective, it becomes harder and harder to get a decent overview ...

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Advanced Search, Visualization and Tagging of Sensor Metadata

Karl Aberer, Ho Young Jeung, Ioannis Paparrizos

As sensors continue to proliferate, the capabilities of effectively querying not only sensor data but also its metadata becomes important in a wide range of applications. This paper demonstrates a search system that utilizes various techniques and tools fo ...

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The Online Chemical Modeling Environment is a web-based platform that aims to automate and simplify the typical steps required for QSAR modeling. The platform consists of two major subsystems: the database of experimental measurements and the modeling fram ...

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Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information

Luc Patiny

2011