The Semantic Puzzle» Health Care http://blog.semantic-web.at Open World Assumptions Thu, 02 Feb 2012 14:26:25 +0000 en hourly 1 http://wordpress.org/?v=3.3.1 Some Semantic Apps for the iPhone http://blog.semantic-web.at/2009/06/25/some-semantic-apps-for-the-iphone/ http://blog.semantic-web.at/2009/06/25/some-semantic-apps-for-the-iphone/#comments Thu, 25 Jun 2009 09:31:55 +0000 Andreas Blumauer http://blog.semantic-web.at/?p=1019 Continue reading →]]> evriverseSome new releases around Apple´s iPhone family, like the new OS3.0 or the new 3G S have stimulated another big hype around this “little darling”. I took a look at another facet, namely: Has the Semantic Web entered the iPhone realm yet (or vice versa)? Experts have been talking about the need for semantically enhanced mobile applications for years, so let´s see, if they are in place already.

Searching for “semantic web” in the AppStore delivers six results, one of them called “SemanticWb” is obviously an interesting match. The application “extracts current life sciences and health care knowledge and place them conveniently at your fingertips on your iPhone”. The application offers search suggestions and moderated search and retrieves articles from PubMed or genetic disorders which are related to the search term. Good start, this is a neat iPhone application which should be interesting for medical doctors and related professions.

Another application on the iPhone which is related to the semantic web is the “English wordnet dictionary” based on WordNet from Princeton University.

So, not much semantic web on the iPhone so far – I thought until Evriverse was released some weeks ago. The iPhone version of evri.com offers a new way to find connections between all kind of things. Similar to OpenCalais Evri can extract people, places, organisations, products etc. from unstructured information like news or blogs. The innovation around Evriverse is the way how complex search queries around “anything” can be formulated by just touching the screen. For example, if you are looking for information about “Tim Berners-Lee” the application not only offers auto-complete but also suggests related people, organisations etc. to refine any search query. Such relations are updated constantly and are based on the semantic analysis of news and blogs.

Evriverse offers the most comfortable way to do news research on the iPhone today. It shows how semantic technologies can enhance user experience on a mobile device and it will path the way to more semantic (web) apps on the iPhone.

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]]> http://blog.semantic-web.at/2009/06/25/some-semantic-apps-for-the-iphone/feed/ 1 Intelligent Agents and Health Care http://blog.semantic-web.at/2008/11/03/intelligent-agents-and-health-care/ http://blog.semantic-web.at/2008/11/03/intelligent-agents-and-health-care/#comments Mon, 03 Nov 2008 10:24:04 +0000 Jana Herwig http://blog.semantic-web.at/?p=332 Continue reading →]]> Bo Hu, PhDMy colleague Tassilo Pellegrini recently did an interview with Bo Hu, a researcher and former fellow at the Intelligence, Agent, Multimedia Group (IAM), University of Southampton: At present, Bo is working at the SAP Research Center CEC Belfast where his research focuses on the application of Semantic Web and Web 2.0 technologies in e-learning and e-healthcare. In the interview, he talks about the potential of Semantic Web and intelligent agent technologies in medicine and life sciences, which he sees as a discipline particularly suited for semantic technologies as “many sub-domains of medicine are subject to controlled nomenclatures providing solid ground upon which semantically enriched applications can be built.” About the potential of intelligent agents:

[...] in distributed environments, it is difficult to exploit the available data from different sources, especially data that is normally projected onto the body of a patient to reach diagnostic and prognostic decisions. Many of the available data are interrelated, calling for paradigms that facilitate knowledge discovery by intelligently integrating data sources.

An agent-based framework is particularly useful in this case where individual agents are equipped with “memory” and “reasoning/thinking” capabilities to constantly acquire new knowledge and solve allocated tasks. Communication among agents, prescribed by a common vocabulary/ontology, ensures the entire community works towards a common goal.

On the other hand, frameworks with agents encapsulating special functions deliver better customised and personalised healthcare. As a result, we will be witnessing more patient power and better adherence to treatment regimens.

Read the whole interview on the SWC website.

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