8. Information Retrieval Definition: A part of computer science that studies the retrieval of information from a collection of written documents is called Information retrieval (IR). Information Extraction Definition: Information extraction (IE) denotes any activity whose goal is to automatically identify and acquire pre- specified sorts of information or data from natural language texts, aggregate them and store them in a unified and structured database. Information Retrieval Definition: A part of computer science that studies the retrieval of information from a collection of written documents is called Information retrieval (IR). Information Extraction Definition: Information extraction (IE) denotes any activity whose goal is to automatically identify and acquire pre- specified sorts of information or data from natural language texts, aggregate them and store them in a unified and structured database.

14. UniversityNew York

40. [1] S.E. Madnick, M.D. Siegel, Seizing the Opportunity: Exploiting Web Aggregation, MISQ Executive, 1(1),2002, 1-12. [2] Hongwei Zhu, Stuart E. Madnick, Michael D. Siegel, " The Interplay Of Web Aggregation And Regulations", CISL WP #02-17, November 2002. [3] Nikola Vlahovic, " Web 2.0 and its Impact on Information Extraction Practices", Proceedings of the International Conference on Applied Computer Science. [4] R. Baeza-Yates, B. Ribeiro-Neto, “Modern Information Retrieval", ACM Press, 1999.–64. [5] http://www.sciencemag.org/content/325/5942/828.full.pdf [6] Zhichen Xu, Yun Fu, Jianchang Mao, and Difu Su, " Towards the Semantic Web: Collaborative Tag Suggestions" [7] Ohad Greenshpan, "Harnessing Data Management Technology for Web Mashups Development" [8] Scott A. Golder and Bernardo A. Huberman, " The Structure of Collaborative Tagging Systems ". [9] C. C. Tsai, C.-J. Lee, S.-M. Tang, The Web 2.0 Movement: MashUps Driven and Web Services, In the Proceedings of the 13th WSEAS International Conference on COMPUTERS, WSEAS Press, Athens, Greece, 2009, pp. 646 - 651. [10] Aaron Bohannon, "Building Secure Web Mashups", July 16, 2008 [1] S.E. Madnick, M.D. Siegel, Seizing the Opportunity: Exploiting Web Aggregation, MISQ Executive, 1(1),2002, 1-12. [2] Hongwei Zhu, Stuart E. Madnick, Michael D. Siegel, " The Interplay Of Web Aggregation And Regulations", CISL WP #02-17, November 2002. [3] Nikola Vlahovic, " Web 2.0 and its Impact on Information Extraction Practices", Proceedings of the International Conference on Applied Computer Science. [4] R. Baeza-Yates, B. Ribeiro-Neto, “Modern Information Retrieval", ACM Press, 1999.–64. [5] http://www.sciencemag.org/content/325/5942/828.full.pdf [6] Zhichen Xu, Yun Fu, Jianchang Mao, and Difu Su, " Towards the Semantic Web: Collaborative Tag Suggestions" [7] Ohad Greenshpan, "Harnessing Data Management Technology for Web Mashups Development" [8] Scott A. Golder and Bernardo A. Huberman, " The Structure of Collaborative Tagging Systems ". [9] C. C. Tsai, C.-J. Lee, S.-M. Tang, The Web 2.0 Movement: MashUps Driven and Web Services, In the Proceedings of the 13th WSEAS International Conference on COMPUTERS, WSEAS Press, Athens, Greece, 2009, pp. 646 - 651. [10] Aaron Bohannon, "Building Secure Web Mashups", July 16, 2008