Dr. Felix's Spring 2012 office hours for the March are:

March 8th, 2-4pm in Patapsco Hall

March 14th, 10-12pm in Potomac Hall

March 28th, 2-4pm in Erickson Hall

Stop by for assistance finding study groups (MATH150/151/152/155, BIOL141/142, CHEM101/102, ENME110, and more)

Questions?  Contact me at tfelix1@umbc.edu or 410.455.3173.

On Friday, March 2^nd, Mainstreet was taken over by a cooking demonstration. Participants were actively encouraged to take part in the production of their free samples. There were five dishes being created.

“Flax! At the Disco” was an oatmeal dish with bananas, apples, and cinnamon. Perfect for breakfast, this dish can be customized in many different ways to please the taster.

“O.D.B.’s Pad Thai (Oh, I like it raw!)” was a salad with zucchinis, bean sprouts, nuts, peppers, onions, and spices. Olive oil held everything together and provided some consistency.

“A Pasta to Remember” was another zucchini dish that can be made without having to heat anything up. Using a blender and a myriad of accenting spices, a healthy Italian entree can be created in just minutes.

“The Artist Formally Known As Banana Non-Dairy Ice Cream” was a sweet blend of frozen bananas nuts, and agauve. This dessert is sure to please all different taste buds!

Be sure to check out other (seb) events where you can make your own food or just try some free samples!

ryanjon:

Joseph Kony and his killers have abducted more than 30,000 children from their families, forcing young boys to murder their parents and become child soldiers and the girls to work as sex slaves.

Make KONY Famous is aiming to raise global awareness of Kony - to make him famous - “not to celebrate him, but to raise support for his arrest and set a precedent for international justice”.

As the filmmaker Jason Russell explains, less than one per cent of the world knows who Kony is, however, if people knew what he had done, they would demand action.

Watch the video … spread the word

KONY 2012 from INVISIBLE CHILDREN on Vimeo.

Attention iCubed Study
Group Participants!

Have an upcoming exam?
Need a study group?

Come to the iCubed Study Groups Meet & Greet

• Meet other students taking:

‐  MATH151/152/155

‐  CHEM101/102, PHYS 121, ENME110

‐  BIOL141/142... and more

• Pick up your study group toolkit

• Form a study group & be eligible to enter into a drawing for FREE PIZZA!

REFRESHMENTS WILL BE SERVED! 

Link Data is a nicely done Web site to help people produce RDF data from simple excel spreadsheets. It appears to be the work of researchers at the RIKEN BASE group at the RIKEN Yokohama Institute in Japan. The approach is straightforward and consists of three steps: creating a template, downloading it as an excel spreadsheet and adding your data, and uploading the result to the site for conversion and publishing.

In the first step, you use the site to create a template for your table, each row of which will be mapped to RDF data about a single subject. The first column of a row must represent the subject and the remaining columns its properties. After specifying the number of columns, you enter into each a string or a URI representing the property. If you enter a string (e.g., ‘employer’), the system shows some suggested URIs drawn from the OBO ontologies that you can select instead of the string. You can also specify the cell values will be literals of type date, time, integer or float.

After downloading your spreadsheet template to your computer, you will see that the metadata is embedded in the initial rows of the table. Your next task is to enter your data, either as strings or URIs, as appropriate.

The final step is to upload the spreadsheet with your data to linkData.org, provide some additional data, and have it converted to RDF and make available on the site. Along the way you can see the results via the W3C validator as serialized in RDF/XML or depicted as a graph. You can also see how your data is connected to datasets in the LOD cloud.

Here’s the result of a simple test, in which I created a data set about people, their employers and their countries of residence.

The approach is simple and has many limitations, but I liked the Web interface and workflow. We’ve done some work in this space with RDF123 and are currently working on automating the process of producing five-start linked data.

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