�ݺ�ߣshows by User: ebiquity

�ݺ�ߣshows by User: ebiquity / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: ebiquity / Fri, 20 Oct 2006 10:55:53 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: ebiquity The Business of Blogging /slideshow/the-business-of-blogging/6573 the-business-of-blogging-15817
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]]> Fri, 20 Oct 2006 10:55:53 GMT /slideshow/the-business-of-blogging/6573 ebiquity@slideshare.net(ebiquity) The Business of Blogging ebiquity <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/the-business-of-blogging-15817-thumbnail.jpg?width=120&height=120&fit=bounds" />

The Business of Blogging from ebiquity

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0 Using the Semantic Web to Support Ecoinformatics /slideshow/using-the-semantic-web-to-support-ecoinformatics/5773 using-the-semantic-web-to-support-ecoinformatics-15983
We describe our on-going work in using the semantic web in support of ecological informatics, and demonstrate a distributed platform for constructing end-to-end use cases. Specifically, we describe ELVIS (the Ecosystem Location Visualization and Information System), a suite of tools for constructing food webs for a given location, and Triple Shop, a SPARQL query interface which allows scientists to semi-automatically construct distributed datasets relevant to the queries they want to ask. ELVIS functionality is exposed as a collection of web services, and all input and output data is expressed in OWL, thereby enabling its integration with Triple Shop and other semantic web resources.]]>
We describe our on-going work in using the semantic web in support of ecological informatics, and demonstrate a distributed platform for constructing end-to-end use cases. Specifically, we describe ELVIS (the Ecosystem Location Visualization and Information System), a suite of tools for constructing food webs for a given location, and Triple Shop, a SPARQL query interface which allows scientists to semi-automatically construct distributed datasets relevant to the queries they want to ask. ELVIS functionality is exposed as a collection of web services, and all input and output data is expressed in OWL, thereby enabling its integration with Triple Shop and other semantic web resources.]]> Sun, 15 Oct 2006 15:41:34 GMT /slideshow/using-the-semantic-web-to-support-ecoinformatics/5773 ebiquity@slideshare.net(ebiquity) Using the Semantic Web to Support Ecoinformatics ebiquity We describe our on-going work in using the semantic web in support of ecological informatics, and demonstrate a distributed platform for constructing end-to-end use cases. Specifically, we describe ELVIS (the Ecosystem Location Visualization and Information System), a suite of tools for constructing food webs for a given location, and Triple Shop, a SPARQL query interface which allows scientists to semi-automatically construct distributed datasets relevant to the queries they want to ask. ELVIS functionality is exposed as a collection of web services, and all input and output data is expressed in OWL, thereby enabling its integration with Triple Shop and other semantic web resources. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/using-the-semantic-web-to-support-ecoinformatics-15983-thumbnail.jpg?width=120&height=120&fit=bounds" /> We describe our on-going work in using the semantic web in support of ecological informatics, and demonstrate a distributed platform for constructing end-to-end use cases. Specifically, we describe ELVIS (the Ecosystem Location Visualization and Information System), a suite of tools for constructing food webs for a given location, and Triple Shop, a SPARQL query interface which allows scientists to semi-automatically construct distributed datasets relevant to the queries they want to ask. ELVIS functionality is exposed as a collection of web services, and all input and output data is expressed in OWL, thereby enabling its integration with Triple Shop and other semantic web resources.

Using the Semantic Web to Support Ecoinformatics from ebiquity

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0 Finding knowledge, data and answers on the Semantic Web /slideshow/finding-knowledge-data-and-answers-on-the-semantic-web/4690 finding-knowledge-data-and-answers-on-the-semantic-web-24339
Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form. As the volume of Semantic Web data grows software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to perform their tasks. We will discuss the general issues underlying the indexing and retrieval of RDF based information and describe Swoogle, a crawler based search engine whose index contains information on over a million RDF documents. We will illustrate its use in several Semantic Web related research projects at UMBC including a distributed platform for constructing end-to-end use cases that demonstrate the semantic web’s utility for integrating scientific data. We describe ELVIS (the Ecosystem Location Visualization and Information System), a suite of tools for constructing food webs for a given location, and Triple Shop, a SPARQL query interface which searches the Semantic Web for data relevant to a given query ELVIS functionality is exposed as a collection of web services, and all input and output data is expressed in OWL, thereby enabling its integration with Triple Shop and other semantic web resources. ]]>
Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form. As the volume of Semantic Web data grows software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to perform their tasks. We will discuss the general issues underlying the indexing and retrieval of RDF based information and describe Swoogle, a crawler based search engine whose index contains information on over a million RDF documents. We will illustrate its use in several Semantic Web related research projects at UMBC including a distributed platform for constructing end-to-end use cases that demonstrate the semantic web’s utility for integrating scientific data. We describe ELVIS (the Ecosystem Location Visualization and Information System), a suite of tools for constructing food webs for a given location, and Triple Shop, a SPARQL query interface which searches the Semantic Web for data relevant to a given query ELVIS functionality is exposed as a collection of web services, and all input and output data is expressed in OWL, thereby enabling its integration with Triple Shop and other semantic web resources. ]]> Sun, 08 Oct 2006 07:16:31 GMT /slideshow/finding-knowledge-data-and-answers-on-the-semantic-web/4690 ebiquity@slideshare.net(ebiquity) Finding knowledge, data and answers on the Semantic Web ebiquity Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form. As the volume of Semantic Web data grows software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to perform their tasks. We will discuss the general issues underlying the indexing and retrieval of RDF based information and describe Swoogle, a crawler based search engine whose index contains information on over a million RDF documents. We will illustrate its use in several Semantic Web related research projects at UMBC including a distributed platform for constructing end-to-end use cases that demonstrate the semantic web’s utility for integrating scientific data. We describe ELVIS (the Ecosystem Location Visualization and Information System), a suite of tools for constructing food webs for a given location, and Triple Shop, a SPARQL query interface which searches the Semantic Web for data relevant to a given query ELVIS functionality is exposed as a collection of web services, and all input and output data is expressed in OWL, thereby enabling its integration with Triple Shop and other semantic web resources. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/finding-knowledge-data-and-answers-on-the-semantic-web-24339-thumbnail.jpg?width=120&height=120&fit=bounds" /> Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form. As the volume of Semantic Web data grows software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to perform their tasks. We will discuss the general issues underlying the indexing and retrieval of RDF based information and describe Swoogle, a crawler based search engine whose index contains information on over a million RDF documents. We will illustrate its use in several Semantic Web related research projects at UMBC including a distributed platform for constructing end-to-end use cases that demonstrate the semantic web’s utility for integrating scientific data. We describe ELVIS (the Ecosystem Location Visualization and Information System), a suite of tools for constructing food webs for a given location, and Triple Shop, a SPARQL query interface which searches the Semantic Web for data relevant to a given query ELVIS functionality is exposed as a collection of web services, and all input and output data is expressed in OWL, thereby enabling its integration with Triple Shop and other semantic web resources.

Finding knowledge, data and answers on the Semantic Web from ebiquity

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0 https://cdn.slidesharecdn.com/profile-photo-ebiquity-48x48.jpg?cb=1522780067 The UMBC eBiquity Research Group consists of faculty and students from the Department of Computer Science and Electrical Engineering (CSEE) of University of Maryland, Baltimore County (UMBC), located in Baltimore MD. ebiquity.umbc.edu/ https://cdn.slidesharecdn.com/ss_thumbnails/the-business-of-blogging-15817-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/the-business-of-blogging/6573 The Business of Blogging https://cdn.slidesharecdn.com/ss_thumbnails/using-the-semantic-web-to-support-ecoinformatics-15983-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/using-the-semantic-web-to-support-ecoinformatics/5773 Using the Semantic Web... https://cdn.slidesharecdn.com/ss_thumbnails/finding-knowledge-data-and-answers-on-the-semantic-web-24339-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/finding-knowledge-data-and-answers-on-the-semantic-web/4690 Finding knowledge, dat...