Database Research Search Engine (beta) is a collaborative effort by people
within the database research community to annotate websites related to database research.
It uses Google Co-op,
a general platform for annotating and querying topic-specific information.
The goal of Database Research Search Engine is to provide better search results to
database research related queries that can not be effectively answered by traditional
web search engines. Such queries often involve popular terms that are not specific
to database research. For example, "telegraph system"
vs. topic filtered results),
and "database integration" (traditional results
vs. topic filtered results).
By leveraging the topic-specific querying and annotation framework provided by Google Co-op, and the contributions from database researchers
from around the world, we can eventually have a search engine of our own! It is also our goal to make this dataset of annotations available
to the research community in the future.
Database Research Search Engine employs a database research
context that roughly identifies important areas within the research community. The context
is a small group of different facets, i.e., major aspects of the topic. Each facet contains a set of labels,
which are semantic tags that users can apply to the relevant web pages. The current Database Research context is listed below. It is
designed by us and undoubtedly contain our biases. We welcome comments on how to improve the context
(please send your suggestions to coop-dbresearch @ <famous search engine> . com i.e., google.com).
More importantly, Database Research Search Engine relies
on the web page annotations. By providing a collaborative framework of easy
annotation through Google Co-op and distribute the workload to
each individual researchers, we hope we can, in a reasonable
amount of time, collectively label most of the web pages relevant
to database research. Such web pages can then be queried in a
topic-sensitive way using our engine.
To bootstrap the process, a small number of people have already
generated a number of annotations. Some example annotations can
be found here.
The current set of annotations undoubtedly misses many relevant
sites and even contains many erroneous annotations. As more
and more researchers get involved, and start annotating sites they
(and only they) know the best, the quality of the annotations will
improve, so are the results.
- Job Openings
- Job Candidates
People: data integration;
Publications: data mining
Contributions to Database Research Search Engine are done through Google Co-op:
Step 1: Create a profile through the Google Co-op Profile page
Step 2: Read Google Co-op Topic Developer
Annotating Guide for introduction on the annotation process. Goto the
bookmarklet page for a bookmark that allows you to
annotate web pages that you are visiting. You can also submit annotations directly through the
Step 3: Once you have accumulated enough annotations, email your profile to email@example.com. Your profile needs
to be registered with Database Research Search Engine for your annotations to appear in the result; this is to prevent spam
annotations corrupting the integrity of the engine.
For more information about Google Co-op, please contact Ramanathan Guha (guha @ <famous search engine> . com).
Questions, comments, and suggestions for Database Research Search Engine should be addressed to coop-dbresearch @ <famous search engine> . com, with
subject line starts as "DB Research:". Alon Halevy and Cong Yu initiated this project, and created the initial topic context, along with Jayant Madhavan.
Cong Yu and Arnaud Sahuguet led the annotation effort to bootstrap the process, along with Shirley Cohen, Luna Dong, and Shawn Jeffery.