Information Science and Library Studies. Information Science (also information studies) is an interdisciplinary science primarily concerned with the collection, classification, manipulation, storage, retrieval and dissemination of information.
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"Welcome to the Datahub, the free, powerful data management platform from the Open Knowledge Foundation, based on the CKAN data management system.
CKAN is a tool for managing and publishing collections of data. It is used by national and local governments, research institutions, and other organisations which collect a lot of data. With its powerful search and faceting, users can browse and find the data they need, and preview it using maps, graphs and tables - whether they are developers, journalists, researchers, NGOs, citizens or your own colleagues.
CKAN is free, open-source software, which has been developed by the Open Knowledge Foundation since 2006 and used by government and organisations around the world. Version 2.0 was released in May 2013.
About the Datahub
The Datahub provides free access to many of CKAN's core features, letting you search for data, register published datasets, create and manage groups of datasets, and get updates from datasets and groups you're interested in. You can use the web interface or, if you are a programmer needing to connect the Datahub with another app, the CKAN API."
"Humans have a powerful capacity to process visual information, skills that date far back in our evolutionary lineage. And since the advent of science, we have employed intricate visual strategies to communicate data, often utilizing design principles that draw on these basic cognitive skills. In a modern world where we have far more data than we can process, the practice of data visualization has gained even more importance. From scientific visualization to pop infographics, designers are increasingly tasked with incorporating data into the media experience. Data has emerged as such a critical part of modern life that it has entered into the realm of art, where data-driven visual experiences challenge viewers to find personal meaning from a sea of information, a task that is increasingly present in every aspect of our information-infused lives.
Featuring: Edward Tufte, Yale University Julie Steele, O'Reilly Media Josh Smith, Hyperakt Jer Thorp, Office for Creative Research
Office of Creative Research: "Gate Change" by Ben Rubin w/ Mark Hansen & Jer Thorp "And That's The Way It Is" by Ben Rubin w/ Mark Hansen & Jer Thorp "Shakespeare Machine" by Ben Rubin w/ Mark Hansen & Jer Thorp "Moveable Type" by Ben Rubin & Mark Hansen "Listening Post" by Ben Rubin & Mark Hansen
"Life Science and Healthcare organizations use RDF/SKOS/OWL based vocabularies, thesauri, taxonomies and ontologies to organize enterprise knowledge. There are many ways to use these technologies but one that is gaining momentum is to semantically index unstructured documents through ontologies and taxonomies.
In this talk we will demonstrate two projects where we use a combination of SKOS/OWL based taxonomies and ontologies, entity extraction, fast text search, and Graph Search to create a semantic retrieval engine for unstructured documents.
The first project organized all science related artifacts in Malaysia through a taxonomy of scientific concepts. It indexed all papers, people, patents, organizations, research grants, etc, etc, and created a user friendly taxonomy browser to quickly find relevant information, such as, "How much research funding has been spent on a certain subject over the last 3 years and how many patents resulted from this research".
The second project discusses a large socio-economic content publisher that has millions of documents in at least eight different languages. Reusing documents for new publications was a painful process given that keyword search and LSI techniques were mostly inadequate to find the document fragments that were needed. Fortunately the organization had begun developing a large SKOS based taxonomy that linked common concepts to various preferential and alternative labels in many languages. We used this taxonomy to index millions of document fragments and we'll show how we can perform relevancy search and retrieval based on taxonomic concepts."