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        <datestamp>2017-11-27</datestamp>
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      <dc:title>Cognitive and Contextual Computing - Laying a Global Data  Foundation</dc:title>
      <dc:creator>Wallis, Richard</dc:creator>
      <dc:description>A search of the current computing and technology zeitgeist
                    will not have to look far before stumbling upon references to Cognitive
                    Computing, Contextual Computing, Conversational Search, the Internet of Things,
                    and other such buzz-words and phrases. The marketeers are having a great time
                    coming up with futuristic visions supporting the view of computing becoming all
                    pervasive and ‘intelligent’. From IBM’s Watson beating human quiz show
                    contestants, to the arms race between the leading voice-controlled virtual
                    assistants – Siri, Cortana, Google Now, Amazon Alexa. All exciting and
                    interesting, but what relevance has this for DCMI, metadata standards, and the
                    resources we describe using them? In a word, “context”. No matter how
                    intelligent and human-like a computer is, it’s capabilities are only as good as
                    the information it has to work with. If that information is constrained by
                    domain, industry specialised vocabularies, or a lack of references to external
                    sources; it is unlikely the results will be generally useful. In the DCMI
                    community we have expertise in sharing information within our organisations and
                    on the web. Dublin Core being one of the first widely adopted generic
                    vocabularies. A path that Schema.org is following and in its breadth of adoption
                    is now exceeding. Schema.org has been a significant success. Used by over 12
                    million domains, on over a quarter of sampled pages. It is enabling a quiet
                    revolution of preparing and sharing data to be harvested into search engine
                    Knowledge Graphs. Knowledge Graphs that power Rich Snippets, Knowledge Panels,
                    Answer Boxes, and other search engine enhancements. Whilst delivering on one
                    revolution, it is helping to lay the foundations of another.Building a global
                    web of interconnected entities, for intelligent agents to navigate, these
                    Knowledge Graphs fed by the information we are starting to share generically,
                    are providing the context that will enable Cognitive, Contextual and associated
                    technologies scale globally. Ushering in yet another new technology
                    era.</dc:description>
      <dc:publisher>Dublin Core Metadata Initiative</dc:publisher>
      <dc:date>2017-11-27</dc:date>
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      <dc:identifier>https://doi.org/10.23106/dcmi.952137798</dc:identifier>
      <dc:identifier>https://dcpapers.dublincore.org/article/952137798</dc:identifier>
      <dc:source>Dublin Core Metadata Initiative Conference Proceedings</dc:source>
      <dc:language>en</dc:language>
      <dc:relation>https://www.wikidata.org/wiki/Q120636705</dc:relation>
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