The following example provided on this page does not restrict the search results to pages with the searchmonkeyid with the specific value.

http://search.yahoo.com/search?p=searchmonkeyid%3Acom.yahoo.page.uf.geo+santa+clara

The geo microformat just contains properties for latitude and longitude so the example provided appears to be incorrect.

http://microformats.org/wiki/geo-cheatsheet

How would you search for a page with microformat properties of specific values?

For example, find all pages containing an hResume where the location is 'San Francisco' and a skill is 'Java'.

Hey Rene,

If you view source on any of those pages returned by your query, you should see find at least one element with class="geo" on it.

And yes, we are faking 'Semantic Search' for now. You can only filter by the presence of a microformat, and then do a full text search for the rest of the terms.

Do you know of a good way to SPARQL over 10 Billion documents? :)

http://www.utdallas.edu/~lkhan/research.html

"Dr. Laitfur Khan and his group of research students conduct top-notch research in data mining, multimedia information management, semantic web and database systems"

Current Research

"For storing RDF data, we have devised a novel and efficient technique to store and retrieval of a large volume of RDF data. With the explosion of semantic web technologies, large RDF graphs are com- mon place. This poses signicant challenges for the storage and retrieval of RDF graphs. Current frameworks do not scale for large RDF graphs and as a result does not ad- dress these challenges. We describe a frame- work that we built using Hadoop to store and retrieve large numbers of RDF triples by exploiting the cloud comput- ing paradigm. We describe a scheme to store RDF data in Hadoop Distributed File System. We present an algorithm to rewrite SPARQL queries in simpler forms. We present an algorithm to generate the best possible query plan to answer a SPARQL Protocol and RDF Query Language(SPARQL) query based on a cost model. We use Hadoop's MapReduce framework to answer the queries. Our results show that we can store large RDF graphs in Hadoop clusters built with cheap commodity class hardware. Furthermore, we show that our framework is scalable and efficient and can handle large amounts of RDF data, unlike traditional approaches."