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The Semantic Web isn't just about putting data on the web. It is about making links, so that a person or machine can explore the web of data. With linked data, when you have some of it, you can find other, related, data. Like the web of hypertext, the web of data is constructed with documents on the web. However, unlike the web of hypertext, where links are relationships anchors in hypertext documents written in HTML, for data they links between arbitrary things described by RDF,. The URIs identify any kind of object or concept. But for HTML or RDF, the same expectations apply to make the web grow: 1. Use URIs as names for things 2. Use HTTP URIs so that people can look up those names. 3. When someone looks up a URI, provide useful information. 4. Include links to other URIs. so that they can discover more things.

Unstructured Information Management applications are software systems that analyze large volumes of unstructured information in order to discover knowledge that is relevant to an end user. UIMA is a framework and SDK for developing such applications. An example UIM application might ingest plain text and identify entities, such as persons, places, organizations; or relations, such as works-for or located-at. UIMA enables such an application to be decomposed into components, for example "language identification" -> "language specific segmentation" -> "sentence boundary detection" -> "entity detection (person/place names etc.)". Each component must implement interfaces defined by the framework and must provide self-describing metadata via XML descriptor files. The framework manages these components and the data flow between them. Components are written in Java or C++; the data that flows between components is designed for efficient mapping between these languages. UIMA additionally provides capabilities to wrap components as network services, and can scale to very large volumes by replicating processing pipelines over a cluster of networked nodes.

We believe individuals from the general public have a vital role to play in making personal genomes useful. We are recruiting volunteers who are willing to share their genome sequence and many types of personal information with the research community and the general public, so that together we will be better able to advance our understanding of genetic and environmental contributions to human traits and to improve our ability to diagnose, treat, and prevent illness. Learn more about how to participate in the Personal Genome Project.

Information Cards are the new way to control your personal data and identity on the web.

Identifying aliases is an important component of the criminal justice system. Accurately identifying a person of interest or someone who has been arrested can significantly reduce the costs within the entire criminal justice system. This paper examines the problem domain of matching and relating identities, examines traditional approaches to the problem, and applies the identity resolution approach described by Jeff Jonas and relationship awareness to the specific case of client identification for the indigent defense office. The combination of identify resolution and relationship awareness offered improved accuracy in matching identities

Further work building on Jeff Jonas' "data finds data", and his his article in IEEE Security and Privacy entitled "Threat and Fraud Intelligence, Las Vegas Style"

Silobreaker is a search and aggregation service for news and current affairs that looks at the data it finds like a person does. It recognizes things - companies, people, topics, places - and puts them in context. By filtering out the noise and building up a meaningful picture from the information that matters, Silobreaker enables its users to spend more time learning from the web, and less time searching it.

Personal knowledge management is becoming one of the most critical skills that information workers like journalists, marketers and PR pros need to succeed today. Specifically, I am talking about the efficient collecting, processing and weeding of massive amounts of data. In this post I want to offer tips on how to take full advantage of tagging information in Gmail.

OpenSocial's API reference describes a number of classes ('Person', 'Name', 'Email', 'Phone', 'Url', 'Organization', 'Address', 'Message', 'Activity', 'MediaItem', 'Activity', …), each of which has various properties whose values are either strings, references to instances of other classes, or enumerations. I'd like to make them usable beyond the confines of OpenSocial, so I'm making an RDF/OWL version. OpenSocial's schema is an attempt to provide an overarching model for much of present-day mainstream 'social networking' functionality, including dating, jobs etc. Such a broad effort is inevitably somewhat open-ended, and so may benefit from being linked to data from other complementary sources.

The goal of this twine is to gather relevant information and people around the project of establishing a new adressing layer in cyberspace : semantic space. Semantic space is designed to augment : - semantic interoperability - distributed social semantic computing - exchange of personal and collective interpretation of vast amouts of data - collective intelligence reflexivity

This is the "Eclipse of Web Browsers", a secure social web browsing environment that runs off of your own highly personal and private data store. Written primarily in Java, it uses Gecko as its web runtime, and has a back-end driven by MySQL and Lucene See also http://www.suprasphere.com/