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hansdezwart

YouTube - Welcome to Metaweb - 0 views

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    Metaweb is a service that help you build your website around entities and not just words.
hansdezwart

Freebase - A wealth of free data - 0 views

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    An entity graph of people, places and things, built by a community that loves open data.
hansdezwart

Social Network Analysis - 0 views

  • Nodes that connect their group to others usually end up with high network metrics. Boundary spanners such as Fernando, Garth, and Heather are more central in the overall network than their immediate neighbors whose connections are only local, within their immediate cluster. You can be a boundary spanner via your bridging connections to other clusters or via your concurrent membership in overlappping groups. Boundary spanners are well-positioned to be innovators, since they have access to ideas and information flowing in other clusters. They are in a position to combine different ideas and knowledge, found in various places, into new products and services.
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    Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
Tony Searl

Unstructured data is worth the effort when you've got the right tools - O'Reilly Radar - 2 views

  • With regard to the challenges, enterprise data is very messy, inconsistent, and spread out across multiple internal systems and applications. APIs like the ones we're working on can bring consistency and structure to a company's legacy data.
  • entity relation extraction is an important trend.
  • Entity relation extraction helps detect new knowledge in big data.
  • ...1 more annotation...
  • Other trends include detecting sentiment in social data, integrating multiple languages, and applying text analytics to audio and video transcripts.
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