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49 posts tagged Speaker
Google Tech Talks May, 23 2008 ABSTRACT Overview: Mark Birbeck has spent a number of years working on flexible user interfaces, both by developing software and working with the W3C on new standards. His latest work involves creating an Ajax framework that uses metadata embedded in HTML documents to drive dynamic user interfaces. The framework makes it easy for authors to build interactive sites, whilst still creating accessible, searchable documents. In this talk Mark will look at how embedded metadata can be used by anyone from scientific researchers to bloggers, through news organisations to photographers, to improve how their pages are understand and interacted with. Speaker: Mark Birbeck Mark Birbeck devised RDFa, a new standard from the W3C that allows metadata to be embedded in HTML and XHTML documents, rather than being stored separately. Web pages enriched in this way provide more accurate information for use in search engines, as well as creating enormous potential for building a new generation of interactive tools for the end-user. Mark is also involved in the XForms Working Group and the XHTML 2 Working Group, has contributed to books on XML and RDF, blogs regularly about XForms, the semantic web, and RIAs, and his company, webBackplane develops a range of open source software for semantic-driven user interfaces. His profile is at webBackplane.com
Google Tech Talks November 11, 2008 ABSTRACT Berners-Lee’s vision of the Semantic Web is hindered by a chicken-and-egg problem, which can be best solved by a bootstrapping method: creating enough structured data to motivate the development of applications. We believe that autonomously `Semantifying Wikipedia’ is the best way to bootstrap. We choose Wikipedia as an initial data source, because it is comprehensive, high-quality, modestly sized, and contains enough manually-derived structure to bootstrap an autonomous, self-supervised process. In this talk I will present our success to date in this endeavor: A novel approach for self-supervised learning of CRF information extractors Automatic construction of a comprehensive ontology via statistical-relational learning Vast improvements in extraction recall through shrinkage over this ontology and retraining The stimulation of a virtuous feedback cycle between communal content creation and information extraction We aim to construct a knowledge base of outstanding size to support inference, automatic question answering, faceted browsing, and potentially to bootstrap the Semantic Web. Speaker: Daniel S. Weld Daniel S. Weld is Thomas J. Cable / WRF Professor of Computer Science and Engineering at the University of Washington. After formative education at Phillips Academy, he received bachelor’s degrees in both Computer Science and Biochemistry at Yale University in 1982. He landed a Ph.D. from the MIT Artificial Intelligence Lab …
Google Tech Talks November 11, 2008 ABSTRACT Berners-Lee’s vision of the Semantic Web is hindered by a chicken-and-egg problem, which can be best solved by a bootstrapping method: creating enough structured data to motivate the development of applications. We believe that autonomously `Semantifying Wikipedia’ is the best way to bootstrap. We choose Wikipedia as an initial data source, because it is comprehensive, high-quality, modestly sized, and contains enough manually-derived structure to bootstrap an autonomous, self-supervised process. In this talk I will present our success to date in this endeavor: A novel approach for self-supervised learning of CRF information extractors Automatic construction of a comprehensive ontology via statistical-relational learning Vast improvements in extraction recall through shrinkage over this ontology and retraining The stimulation of a virtuous feedback cycle between communal content creation and information extraction We aim to construct a knowledge base of outstanding size to support inference, automatic question answering, faceted browsing, and potentially to bootstrap the Semantic Web. Speaker: Daniel S. Weld Daniel S. Weld is Thomas J. Cable / WRF Professor of Computer Science and Engineering at the University of Washington. After formative education at Phillips Academy, he received bachelor’s degrees in both Computer Science and Biochemistry at Yale University in 1982. He landed a Ph.D. from the MIT Artificial Intelligence Lab …
Google Tech Talks June, 26 2008 ABSTRACT The Semantic Web presents the vision of a distributed, dynamically growing knowledge base founded on formal logic. Common users, however, seem to have problems even with the simplest Boolean expression. So how can we help users to query a web of logic that they do not seem to understand? One frequently proposed solution to address this problem is the use of natural language (NL) for knowledge specification and querying. We propose to regard formal query languages and NL as two extremes of a continuum, where semistructured languages lie somewhere in the middle. To evaluate what degree of structuredness casual users prefer, we introduce four query interfaces, each at a different point in the continuum, and evaluate the users’ preference and their query performance in a study with 48 subjects. The results of the study reveal that while the users dislike the constraints of a fully structured formal query language they also seem at a loss with the freedom of a full NLP approach. This suggests that restricted query languages will be preferred by casual users because of their guidance effect, mirroring findings from social science theory on human activity in general. Speaker: Prof. Bernstein Abraham Bernstein is a full Professor at the Department of Information Technology (Institut für Informatik) of the University of Zurich. He conducts research on various aspects of supporting dynamic (intra- and inter-) organizational processes. His …
Google Tech Talks June, 26 2008 ABSTRACT The Semantic Web presents the vision of a distributed, dynamically growing knowledge base founded on formal logic. Common users, however, seem to have problems even with the simplest Boolean expression. So how can we help users to query a web of logic that they do not seem to understand? One frequently proposed solution to address this problem is the use of natural language (NL) for knowledge specification and querying. We propose to regard formal query languages and NL as two extremes of a continuum, where semistructured languages lie somewhere in the middle. To evaluate what degree of structuredness casual users prefer, we introduce four query interfaces, each at a different point in the continuum, and evaluate the users’ preference and their query performance in a study with 48 subjects. The results of the study reveal that while the users dislike the constraints of a fully structured formal query language they also seem at a loss with the freedom of a full NLP approach. This suggests that restricted query languages will be preferred by casual users because of their guidance effect, mirroring findings from social science theory on human activity in general. Speaker: Prof. Bernstein Abraham Bernstein is a full Professor at the Department of Information Technology (Institut für Informatik) of the University of Zurich. He conducts research on various aspects of supporting dynamic (intra- and inter-) organizational processes. His …
Google Tech Talks August 6, 2008 ABSTRACT Web advertising, hasn’t delivered its potential value to advertisers. This is partcularly true for contextual advertisement. The main problem is that the marriage of ad and the content of a page is based on algorithms that do not offer satisfactory results in understanding the actual meaning of the content of a web page. Try the search “stock base” in Google or Yahoo. You will get many more pages about equities than you do about soup. Yet the ads placed on these pages are too often not related to the main topic of the article. Showing an ad about food when the intended use of “stock base” was in the context of equities it’s a mismatch. Expert System now offers a revolutionary solution that automatically processes the meaning of the text to ensure that the ads selected are relevant. Expert System’s CSA (Cogito Semantic Ad) relies on its Semantic Intelligence technology to analyze text on the page through linguistic analysis and Semantic Comprehension to assure that promotional information can be served more effectively. Speaker: Marco Varone Founder, CTO, and Director of the Board of Expert System, Marco is the “father” of the technology behind the Company’s products and a key driver of the Company with his vision and technical skills. Marco is responsible for the R activities and roadmap in the software and linguistic areas. Marco holds a degree in Computer Science at the University of Modena with honors. Speaker: Luca Scagliarini …
Google Tech Talks August 6, 2008 ABSTRACT Web advertising, hasn’t delivered its potential value to advertisers. This is partcularly true for contextual advertisement. The main problem is that the marriage of ad and the content of a page is based on algorithms that do not offer satisfactory results in understanding the actual meaning of the content of a web page. Try the search “stock base” in Google or Yahoo. You will get many more pages about equities than you do about soup. Yet the ads placed on these pages are too often not related to the main topic of the article. Showing an ad about food when the intended use of “stock base” was in the context of equities it’s a mismatch. Expert System now offers a revolutionary solution that automatically processes the meaning of the text to ensure that the ads selected are relevant. Expert System’s CSA (Cogito Semantic Ad) relies on its Semantic Intelligence technology to analyze text on the page through linguistic analysis and Semantic Comprehension to assure that promotional information can be served more effectively. Speaker: Marco Varone Founder, CTO, and Director of the Board of Expert System, Marco is the “father” of the technology behind the Company’s products and a key driver of the Company with his vision and technical skills. Marco is responsible for the R activities and roadmap in the software and linguistic areas. Marco holds a degree in Computer Science at the University of Modena with honors. Speaker: Luca Scagliarini …
Google Tech Talks August 6, 2008 ABSTRACT Web advertising, hasn’t delivered its potential value to advertisers. This is partcularly true for contextual advertisement. The main problem is that the marriage of ad and the content of a page is based on algorithms that do not offer satisfactory results in understanding the actual meaning of the content of a web page. Try the search “stock base” in Google or Yahoo. You will get many more pages about equities than you do about soup. Yet the ads placed on these pages are too often not related to the main topic of the article. Showing an ad about food when the intended use of “stock base” was in the context of equities it’s a mismatch. Expert System now offers a revolutionary solution that automatically processes the meaning of the text to ensure that the ads selected are relevant. Expert System’s CSA (Cogito Semantic Ad) relies on its Semantic Intelligence technology to analyze text on the page through linguistic analysis and Semantic Comprehension to assure that promotional information can be served more effectively. Speaker: Marco Varone Founder, CTO, and Director of the Board of Expert System, Marco is the “father” of the technology behind the Company’s products and a key driver of the Company with his vision and technical skills. Marco is responsible for the R activities and roadmap in the software and linguistic areas. Marco holds a degree in Computer Science at the University of Modena with honors. Speaker: Luca Scagliarini …
Google Tech Talks June, 26 2008 ABSTRACT The Semantic Web presents the vision of a distributed, dynamically growing knowledge base founded on formal logic. Common users, however, seem to have problems even with the simplest Boolean expression. So how can we help users to query a web of logic that they do not seem to understand? One frequently proposed solution to address this problem is the use of natural language (NL) for knowledge specification and querying. We propose to regard formal query languages and NL as two extremes of a continuum, where semistructured languages lie somewhere in the middle. To evaluate what degree of structuredness casual users prefer, we introduce four query interfaces, each at a different point in the continuum, and evaluate the users’ preference and their query performance in a study with 48 subjects. The results of the study reveal that while the users dislike the constraints of a fully structured formal query language they also seem at a loss with the freedom of a full NLP approach. This suggests that restricted query languages will be preferred by casual users because of their guidance effect, mirroring findings from social science theory on human activity in general. Speaker: Prof. Bernstein Abraham Bernstein is a full Professor at the Department of Information Technology (Institut für Informatik) of the University of Zurich. He conducts research on various aspects of supporting dynamic (intra- and inter-) organizational processes. His …
Google Tech Talks August 6, 2008 ABSTRACT Web advertising, hasn’t delivered its potential value to advertisers. This is partcularly true for contextual advertisement. The main problem is that the marriage of ad and the content of a page is based on algorithms that do not offer satisfactory results in understanding the actual meaning of the content of a web page. Try the search “stock base” in Google or Yahoo. You will get many more pages about equities than you do about soup. Yet the ads placed on these pages are too often not related to the main topic of the article. Showing an ad about food when the intended use of “stock base” was in the context of equities it’s a mismatch. Expert System now offers a revolutionary solution that automatically processes the meaning of the text to ensure that the ads selected are relevant. Expert System’s CSA (Cogito Semantic Ad) relies on its Semantic Intelligence technology to analyze text on the page through linguistic analysis and Semantic Comprehension to assure that promotional information can be served more effectively. Speaker: Marco Varone Founder, CTO, and Director of the Board of Expert System, Marco is the “father” of the technology behind the Company’s products and a key driver of the Company with his vision and technical skills. Marco is responsible for the R activities and roadmap in the software and linguistic areas. Marco holds a degree in Computer Science at the University of Modena with honors. Speaker: Luca Scagliarini …
