Metasearch Engine Project This project was sponsored by research grants from the National Science Foundation . Principal Investigator at SUNY at Binghamton PI: Prof. Principal Investigator at University at Illinois at Chicago PI: Prof. The objective of this project was to develop techniques for building highly scalable and effective metasearch engines and related techniques. We study two types of metasearch engines. For document metasearch engines, our WebScales project aims to create a metasearch engine on top of essentially all useful search engines on the Web. This research is funded by the following grants from the National Science Foundation: IIS-9902872, IIS-9902792, EIA-9911099, IIS-0208574, and IIS-0208434). Related Publications and Technical Reports Weiyi Meng, King-Lup Liu, Clement Yu, Xiaodong Wang, Yu-Hsi Chang, and Naphtali Rishe. Prototypes and Demos
Digital Libraries/Metadata Older versions of the draft developed by UNC/VT Project Team (2009-10-07 PDF WORD) Module name[edit] Metadata Scope[edit] This module addresses uses of metadata and some specific metadata standards that may be appropriate in the context of a Digital Library (DL), and the development of metadata records for digital objects. Learning objectives:[edit] Students will be able to: a. b. 5S characteristics of the module:[edit] a. b. c. d. Level of effort required:[edit] a. b. i. ii. Relationships with other modules:[edit] 3-b: Digitization: Modules 2-b and 4-b should be taught around the same time in the semester. 4-d: Subject description, vocabulary control, thesauri, terminologies: Module 4-b is a prerequisite to 4-d. 8-a: Preservation: Module 4-b is a prerequisite to 8-a. Prerequisite knowledge required:[edit] Knowledge of the concept of a field, and the difference between structured and unstructured data. Introductory remedial instruction:[edit] a. i. ii. iii. iv. v. b. i. 1. 2. 3. 1. [edit] a. b. i. ii.
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