The Experts below are selected from a list of 50643 Experts worldwide ranked by ideXlab platform
Geert-jan Houben - One of the best experts on this subject based on the ideXlab platform.
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ESWC Workshops - Tums: twitter-based user modeling service
Lecture Notes in Computer Science, 2012Co-Authors: Ke Tao, Fabian Abel, Qi Gao, Geert-jan HoubenAbstract:Twitter is today's most popular micro-blogging service on the Social Web. As people discuss various fresh topics, Twitter messages (tweets) can tell much about the current interests and concerns of a user. In this paper, we introduce Tums, a Twitter-based User Modeling Service, that infers semantic user profiles from the messages people post on Twitter. It features topic detection and entity extraction for tweets and allows for further enrichment by linking tweets to news articles that describe the context of the tweets. Tums is made publicly available as a Web application. It allows end-users to overview Twitter-based profiles in a structured way and allows them to see in which topics or entities a user was interested at a specific point in time. Furthermore, it provides Twitter-based user profiles in RDF format and allows applications to incorporate these profiles in order to adapt their functionality to the current interests of a user. Tums is available via: http://wis.ewi.tudelft.nl/Tums/
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Tums twitter based user modeling service
International Semantic Web Conference, 2011Co-Authors: Fabian Abel, Geert-jan HoubenAbstract:Twitter is today's most popular micro-blogging service on the Social Web. As people discuss various fresh topics, Twitter messages (tweets) can tell much about the current interests and concerns of a user. In this paper, we introduce Tums, a Twitter-based User Modeling Service, that infers semantic user profiles from the messages people post on Twitter. It features topic detection and entity extraction for tweets and allows for further enrichment by linking tweets to news articles that describe the context of the tweets. Tums is made publicly available as a Web application. It allows end-users to overview Twitter-based profiles in a structured way and allows them to see in which topics or entities a user was interested at a specific point in time. Furthermore, it provides Twitter-based user profiles in RDF format and allows applications to incorporate these profiles in order to adapt their functionality to the current interests of a user. Tums is available via: http://wis.ewi.tudelft.nl/Tums/
Fabian Abel - One of the best experts on this subject based on the ideXlab platform.
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ESWC Workshops - Tums: twitter-based user modeling service
Lecture Notes in Computer Science, 2012Co-Authors: Ke Tao, Fabian Abel, Qi Gao, Geert-jan HoubenAbstract:Twitter is today's most popular micro-blogging service on the Social Web. As people discuss various fresh topics, Twitter messages (tweets) can tell much about the current interests and concerns of a user. In this paper, we introduce Tums, a Twitter-based User Modeling Service, that infers semantic user profiles from the messages people post on Twitter. It features topic detection and entity extraction for tweets and allows for further enrichment by linking tweets to news articles that describe the context of the tweets. Tums is made publicly available as a Web application. It allows end-users to overview Twitter-based profiles in a structured way and allows them to see in which topics or entities a user was interested at a specific point in time. Furthermore, it provides Twitter-based user profiles in RDF format and allows applications to incorporate these profiles in order to adapt their functionality to the current interests of a user. Tums is available via: http://wis.ewi.tudelft.nl/Tums/
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Tums twitter based user modeling service
International Semantic Web Conference, 2011Co-Authors: Fabian Abel, Geert-jan HoubenAbstract:Twitter is today's most popular micro-blogging service on the Social Web. As people discuss various fresh topics, Twitter messages (tweets) can tell much about the current interests and concerns of a user. In this paper, we introduce Tums, a Twitter-based User Modeling Service, that infers semantic user profiles from the messages people post on Twitter. It features topic detection and entity extraction for tweets and allows for further enrichment by linking tweets to news articles that describe the context of the tweets. Tums is made publicly available as a Web application. It allows end-users to overview Twitter-based profiles in a structured way and allows them to see in which topics or entities a user was interested at a specific point in time. Furthermore, it provides Twitter-based user profiles in RDF format and allows applications to incorporate these profiles in order to adapt their functionality to the current interests of a user. Tums is available via: http://wis.ewi.tudelft.nl/Tums/
Ke Tao - One of the best experts on this subject based on the ideXlab platform.
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ESWC Workshops - Tums: twitter-based user modeling service
Lecture Notes in Computer Science, 2012Co-Authors: Ke Tao, Fabian Abel, Qi Gao, Geert-jan HoubenAbstract:Twitter is today's most popular micro-blogging service on the Social Web. As people discuss various fresh topics, Twitter messages (tweets) can tell much about the current interests and concerns of a user. In this paper, we introduce Tums, a Twitter-based User Modeling Service, that infers semantic user profiles from the messages people post on Twitter. It features topic detection and entity extraction for tweets and allows for further enrichment by linking tweets to news articles that describe the context of the tweets. Tums is made publicly available as a Web application. It allows end-users to overview Twitter-based profiles in a structured way and allows them to see in which topics or entities a user was interested at a specific point in time. Furthermore, it provides Twitter-based user profiles in RDF format and allows applications to incorporate these profiles in order to adapt their functionality to the current interests of a user. Tums is available via: http://wis.ewi.tudelft.nl/Tums/
Qi Gao - One of the best experts on this subject based on the ideXlab platform.
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ESWC Workshops - Tums: twitter-based user modeling service
Lecture Notes in Computer Science, 2012Co-Authors: Ke Tao, Fabian Abel, Qi Gao, Geert-jan HoubenAbstract:Twitter is today's most popular micro-blogging service on the Social Web. As people discuss various fresh topics, Twitter messages (tweets) can tell much about the current interests and concerns of a user. In this paper, we introduce Tums, a Twitter-based User Modeling Service, that infers semantic user profiles from the messages people post on Twitter. It features topic detection and entity extraction for tweets and allows for further enrichment by linking tweets to news articles that describe the context of the tweets. Tums is made publicly available as a Web application. It allows end-users to overview Twitter-based profiles in a structured way and allows them to see in which topics or entities a user was interested at a specific point in time. Furthermore, it provides Twitter-based user profiles in RDF format and allows applications to incorporate these profiles in order to adapt their functionality to the current interests of a user. Tums is available via: http://wis.ewi.tudelft.nl/Tums/
Adrian L. Harris - One of the best experts on this subject based on the ideXlab platform.
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Tumor-Associated Macrophages in Breast Cancer
Journal of Mammary Gland Biology and Neoplasia, 2002Co-Authors: Russell D. Leek, Adrian L. HarrisAbstract:Neoplastic cells form only one part of a complex network of cell types that make up a breast tumor. The normal cell types that make up the nonneoplastic components of tumors include fibroblasts, endothelium, and inflammatory cells, such as tumor associated macrophages (TAMs). TAMs have the potential to carry out both anti- and protumor activities. In their antitumor role TAMs can present tumor antigens to cytotoxic T-cells and are capable of being directly cytotoxic to neoplastic cells. Conversely, TAMs are also able to promote tumor growth directly by secreting breast tumor mitogens, such as epidermal growth factor, and indirectly by stimulating tumor angiogenesis and metastasis. Recent studies have indicated that in breast cancers the protumor role of TAMs is dominant, and that TAMs may be executing a “wound healing” type of process in response to stimuli found in the tumor microenvironment, such as hypoxia. As such, TAMs may provide opportunities for future therapeutic interventions.
