LaTeX
I use LaTeX extensively for technical communication, and I often write packages so that documents resemble official Microsoft Office templates. Projects that I’ve created with LaTeX packages for various organizations appear below along with a brief synopsis of each (which isn’t necessary comprehensive):
- Johns Hopkins University
- A Beamer color theme that incorporates the official color palette, Beamer presentation themes for various divisions, and a package for syllabi in the Whiting School of Engineering.
- United States Air Force Academy
- A Beamer color theme that incorporates the color palette; a Beamer presentation theme with its logo, motto, etc.; and a package for academic promotion applications.
- University of Virginia
- A Beamer color theme that incorporates the official color palette, a Beamer presentation theme for the School of Engineering and Applied Sciences (SEAS), and a package for theses and dissertations within SEAS.
Relational Keyword Search
Benchmark
Download data sets, topics, and relevance assessments (qrels):
| Data Set | Database | Topics and Assessments |
|---|---|---|
| Mondial | schema and data | topics and qrels |
| IMDb | schema and data | topics and qrels |
| Wikipedia | schema and data | topics and qrels |
| IMDb (complete) | schema and data | topics and qrels |
| Wikipedia (complete) | schema and data | topics and qrels |
This data may only be used for academic (personal and non-commercial) work and must not be resold or repurposed.
The IMDb information was obtained using IMDbPY and is courtesy of
The Internet Movie Database
http://www.imdb.com
Used with permission
Please also see IMDb’s copyright notice and terms of data use.
Datasets are dumped from PostgreSQL. Some commands may not be supported by other relational database management systems. To reduce time when loading the data, it is recommended that the schema file be split so indexes are created after loading the data.
The “complete” data sets denote the original data set instead of the subset used for evaluation.
Additional evaluation revealed minor mistakes with the original IMDb qrels. To facilitate comparison with published evaluations, the original qrels remain available above. Corrected qrels: IMDb
Please reference the following publication when using these data sets, topics, or relevance assessments:
Joel Coffman and Alfred C. Weaver, “A Framework for Evaluating Database Keyword Search Strategies,” Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM ‘10), pp. 729–738, Toronto, Canada, pp. 729–738, October 2010
Further empirical evaluation is available in later work:
Joel Coffman and Alfred C. Weaver, “An Empirical Performance Evaluation of Relational Keyword Search Techniques,” IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 26, No. 1, pp. 30–42, January 2014