際際滷shows by User: jepowell / http://www.slideshare.net/images/logo.gif 際際滷shows by User: jepowell / Mon, 10 Nov 2014 10:47:53 GMT 際際滷Share feed for 際際滷shows by User: jepowell EgoSystem: Presentation to LITA, American Library Association, Nov 8 2014 /slideshow/egosystem-presentation-to-lita-american-library-association-nov-8-2014/41360682 egolitav5-141110104753-conversion-gate01
The Internet represents the connections among computers and devices, the world wide web is a network of interconnected documents, and the semantic web is the closest thing we have today to a network of interconnected facts. Noticeably absent from these global networks is any sort of open, formal representation for an online global social network. Each users' online presence, and its immediate social network, are isolated and typically only available within the confines of the social networking site that hosts it. Discovery across explicit online social networks and implicit social networks such as those that can be inferred from co-authorship relationships and affiliations is, for all practical purposes, impossible. And yet there are practical and non-nefarious reasons why an organization might be interested in exploring portions of such a network. Outreach is one such interest. Los Alamos National Laboratory (LANL) prototyped EgoSystem to harvest and explore the professional social networks of post doctoral students. The project's goal is to enlist past students and other Lab alumni as ambassadors and advocates for LANL's ongoing mission. During this talk we will discuss the various technologies that support the EgoSystem and demonstrate some of its capabilities.]]>
The Internet represents the connections among computers and devices, the world wide web is a network of interconnected documents, and the semantic web is the closest thing we have today to a network of interconnected facts. Noticeably absent from these global networks is any sort of open, formal representation for an online global social network. Each users' online presence, and its immediate social network, are isolated and typically only available within the confines of the social networking site that hosts it. Discovery across explicit online social networks and implicit social networks such as those that can be inferred from co-authorship relationships and affiliations is, for all practical purposes, impossible. And yet there are practical and non-nefarious reasons why an organization might be interested in exploring portions of such a network. Outreach is one such interest. Los Alamos National Laboratory (LANL) prototyped EgoSystem to harvest and explore the professional social networks of post doctoral students. The project's goal is to enlist past students and other Lab alumni as ambassadors and advocates for LANL's ongoing mission. During this talk we will discuss the various technologies that support the EgoSystem and demonstrate some of its capabilities.]]> Mon, 10 Nov 2014 10:47:53 GMT /slideshow/egosystem-presentation-to-lita-american-library-association-nov-8-2014/41360682 jepowell@slideshare.net(jepowell) EgoSystem: Presentation to LITA, American Library Association, Nov 8 2014 jepowell The Internet represents the connections among computers and devices, the world wide web is a network of interconnected documents, and the semantic web is the closest thing we have today to a network of interconnected facts. Noticeably absent from these global networks is any sort of open, formal representation for an online global social network. Each users' online presence, and its immediate social network, are isolated and typically only available within the confines of the social networking site that hosts it. Discovery across explicit online social networks and implicit social networks such as those that can be inferred from co-authorship relationships and affiliations is, for all practical purposes, impossible. And yet there are practical and non-nefarious reasons why an organization might be interested in exploring portions of such a network. Outreach is one such interest. Los Alamos National Laboratory (LANL) prototyped EgoSystem to harvest and explore the professional social networks of post doctoral students. The project's goal is to enlist past students and other Lab alumni as ambassadors and advocates for LANL's ongoing mission. During this talk we will discuss the various technologies that support the EgoSystem and demonstrate some of its capabilities. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/egolitav5-141110104753-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Internet represents the connections among computers and devices, the world wide web is a network of interconnected documents, and the semantic web is the closest thing we have today to a network of interconnected facts. Noticeably absent from these global networks is any sort of open, formal representation for an online global social network. Each users&#39; online presence, and its immediate social network, are isolated and typically only available within the confines of the social networking site that hosts it. Discovery across explicit online social networks and implicit social networks such as those that can be inferred from co-authorship relationships and affiliations is, for all practical purposes, impossible. And yet there are practical and non-nefarious reasons why an organization might be interested in exploring portions of such a network. Outreach is one such interest. Los Alamos National Laboratory (LANL) prototyped EgoSystem to harvest and explore the professional social networks of post doctoral students. The project&#39;s goal is to enlist past students and other Lab alumni as ambassadors and advocates for LANL&#39;s ongoing mission. During this talk we will discuss the various technologies that support the EgoSystem and demonstrate some of its capabilities.
EgoSystem: Presentation to LITA, American Library Association, Nov 8 2014 from James Powell
]]> 416 4 https://cdn.slidesharecdn.com/ss_thumbnails/egolitav5-141110104753-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Using Architectures for Semantic Interoperability to Create Journal Clubs for Emergency Response /slideshow/using-architectures-for-semantic-interoperability-to-create-journal-clubs-for-emergency-response/1417658 lanl-journal-clubs-5-8-2009-distribute-090511093602-phpapp01
In certain types of _slow burn_ emergencies, careful accumulation and evaluation of information can offer a crucial advantage. The SARS outbreak in the first decade of the 21st century was such an event, and ad hoc journal clubs played a critical role in assisting scientific and technical responders in identifying and developing various strategies for halting what could have become a dangerous pandemic. This paper describes a process for leveraging emerging semantic web and digital library architectures and standards to (1) create a focused collection of bibliographic metadata, (2) extract semantic information, (3) convert it to the Resource Description Framework /Extensible Markup Language (RDF/XML), and (4) integrate it so that scientific and technical responders can share and explore critical information in the collections. systems.]]>
In certain types of _slow burn_ emergencies, careful accumulation and evaluation of information can offer a crucial advantage. The SARS outbreak in the first decade of the 21st century was such an event, and ad hoc journal clubs played a critical role in assisting scientific and technical responders in identifying and developing various strategies for halting what could have become a dangerous pandemic. This paper describes a process for leveraging emerging semantic web and digital library architectures and standards to (1) create a focused collection of bibliographic metadata, (2) extract semantic information, (3) convert it to the Resource Description Framework /Extensible Markup Language (RDF/XML), and (4) integrate it so that scientific and technical responders can share and explore critical information in the collections. systems.]]> Mon, 11 May 2009 09:35:57 GMT /slideshow/using-architectures-for-semantic-interoperability-to-create-journal-clubs-for-emergency-response/1417658 jepowell@slideshare.net(jepowell) Using Architectures for Semantic Interoperability to Create Journal Clubs for Emergency Response jepowell In certain types of _slow burn_ emergencies, careful accumulation and evaluation of information can offer a crucial advantage. The SARS outbreak in the first decade of the 21st century was such an event, and ad hoc journal clubs played a critical role in assisting scientific and technical responders in identifying and developing various strategies for halting what could have become a dangerous pandemic. This paper describes a process for leveraging emerging semantic web and digital library architectures and standards to (1) create a focused collection of bibliographic metadata, (2) extract semantic information, (3) convert it to the Resource Description Framework /Extensible Markup Language (RDF/XML), and (4) integrate it so that scientific and technical responders can share and explore critical information in the collections. systems. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lanl-journal-clubs-5-8-2009-distribute-090511093602-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In certain types of _slow burn_ emergencies, careful accumulation and evaluation of information can offer a crucial advantage. The SARS outbreak in the first decade of the 21st century was such an event, and ad hoc journal clubs played a critical role in assisting scientific and technical responders in identifying and developing various strategies for halting what could have become a dangerous pandemic. This paper describes a process for leveraging emerging semantic web and digital library architectures and standards to (1) create a focused collection of bibliographic metadata, (2) extract semantic information, (3) convert it to the Resource Description Framework /Extensible Markup Language (RDF/XML), and (4) integrate it so that scientific and technical responders can share and explore critical information in the collections. systems.
Using Architectures for Semantic Interoperability to Create Journal Clubs for Emergency Response from James Powell
]]> 713 3 https://cdn.slidesharecdn.com/ss_thumbnails/lanl-journal-clubs-5-8-2009-distribute-090511093602-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Using Text Analysis to Reduce Information Overload in Pandemic Influenza Planning /slideshow/using-text-analysis-to-reduce-information-overload-in-pandemic-influenza-planning/1417633 lanl-information-overload-5-8-2009-distribute-090511093024-phpapp02
The proliferation of plans can result in debilitating information overload in public health and medical emergencies. In the case of pandemic influenza, the US Department of Health and Human Services (HHS) and its Centers for Disease Control and Prevention (CDC) have pan flu plans for coordinating the 50 states and each of the 50 states has its own pan flu plan. Plans need to be analyzed, compared, and revised so that they are in alignment with one another. Human analysis of plans is time-consuming and difficult, so text analysis software tools are needed that can help humans (a) compare plans to find gaps or discrepancies and (b) locate relevant sections of plans and display links to them. This research-in-progress describes two text analysis tools being developed at the Los Alamos National Laboratory as part of E-SOS (Emergency Situation Overview and Synthesis): the Theme Awareness Tool (THEMAT) and Content Awareness Tool (CAT). Both tools were used to analyze pan flu plans from the White House, the US Department of Health and Human Services, the Centers for Disease Control, and the 50 states.]]>
The proliferation of plans can result in debilitating information overload in public health and medical emergencies. In the case of pandemic influenza, the US Department of Health and Human Services (HHS) and its Centers for Disease Control and Prevention (CDC) have pan flu plans for coordinating the 50 states and each of the 50 states has its own pan flu plan. Plans need to be analyzed, compared, and revised so that they are in alignment with one another. Human analysis of plans is time-consuming and difficult, so text analysis software tools are needed that can help humans (a) compare plans to find gaps or discrepancies and (b) locate relevant sections of plans and display links to them. This research-in-progress describes two text analysis tools being developed at the Los Alamos National Laboratory as part of E-SOS (Emergency Situation Overview and Synthesis): the Theme Awareness Tool (THEMAT) and Content Awareness Tool (CAT). Both tools were used to analyze pan flu plans from the White House, the US Department of Health and Human Services, the Centers for Disease Control, and the 50 states.]]> Mon, 11 May 2009 09:30:17 GMT /slideshow/using-text-analysis-to-reduce-information-overload-in-pandemic-influenza-planning/1417633 jepowell@slideshare.net(jepowell) Using Text Analysis to Reduce Information Overload in Pandemic Influenza Planning jepowell The proliferation of plans can result in debilitating information overload in public health and medical emergencies. In the case of pandemic influenza, the US Department of Health and Human Services (HHS) and its Centers for Disease Control and Prevention (CDC) have pan flu plans for coordinating the 50 states and each of the 50 states has its own pan flu plan. Plans need to be analyzed, compared, and revised so that they are in alignment with one another. Human analysis of plans is time-consuming and difficult, so text analysis software tools are needed that can help humans (a) compare plans to find gaps or discrepancies and (b) locate relevant sections of plans and display links to them. This research-in-progress describes two text analysis tools being developed at the Los Alamos National Laboratory as part of E-SOS (Emergency Situation Overview and Synthesis): the Theme Awareness Tool (THEMAT) and Content Awareness Tool (CAT). Both tools were used to analyze pan flu plans from the White House, the US Department of Health and Human Services, the Centers for Disease Control, and the 50 states. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lanl-information-overload-5-8-2009-distribute-090511093024-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The proliferation of plans can result in debilitating information overload in public health and medical emergencies. In the case of pandemic influenza, the US Department of Health and Human Services (HHS) and its Centers for Disease Control and Prevention (CDC) have pan flu plans for coordinating the 50 states and each of the 50 states has its own pan flu plan. Plans need to be analyzed, compared, and revised so that they are in alignment with one another. Human analysis of plans is time-consuming and difficult, so text analysis software tools are needed that can help humans (a) compare plans to find gaps or discrepancies and (b) locate relevant sections of plans and display links to them. This research-in-progress describes two text analysis tools being developed at the Los Alamos National Laboratory as part of E-SOS (Emergency Situation Overview and Synthesis): the Theme Awareness Tool (THEMAT) and Content Awareness Tool (CAT). Both tools were used to analyze pan flu plans from the White House, the US Department of Health and Human Services, the Centers for Disease Control, and the 50 states.
Using Text Analysis to Reduce Information Overload in Pandemic Influenza Planning from James Powell
]]> 518 7 https://cdn.slidesharecdn.com/ss_thumbnails/lanl-information-overload-5-8-2009-distribute-090511093024-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-jepowell-48x48.jpg?cb=1537209621 Specialties: semantic web technologies (RDF, SPARQL, etc), Graph Theory, ubiquitous computing concepts, Just In Time Information Retrieval systems, full-text and bibliographic metadata search systems, georeference, hadoop/mapreduce, android mobile apps, gameQuery, MySQL, PHP, MongoDB http://www.lanl.gov/ https://cdn.slidesharecdn.com/ss_thumbnails/egolitav5-141110104753-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/egosystem-presentation-to-lita-american-library-association-nov-8-2014/41360682 EgoSystem: Presentatio... https://cdn.slidesharecdn.com/ss_thumbnails/lanl-journal-clubs-5-8-2009-distribute-090511093602-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/using-architectures-for-semantic-interoperability-to-create-journal-clubs-for-emergency-response/1417658 Using Architectures fo... https://cdn.slidesharecdn.com/ss_thumbnails/lanl-information-overload-5-8-2009-distribute-090511093024-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/using-text-analysis-to-reduce-information-overload-in-pandemic-influenza-planning/1417633 Using Text Analysis to...