dvrom.eu

I am all for onscreen reading, and consumption of content via electronic media.

However, in my case, when I need some quick content extraction, nothing works better than p & p media: pen & paper.

The pen part is quite easy to solve, but sometimes I struggle on transforming the electronic media to paper.

More specifically, sometimes I discover some great blog, with quite a big amount of posts, that doesn’t offer any easy printing solution.

Somehow, I am not very good at pretending I don’t know anything about computers, and I recently ended up building a essentially-simple but constraint-complex portfolio site.

Hoping that it could be useful for anybody else that frequently finds themselves in a “friend / relative / XXX” who is a “computer guy / gal “ kind of role, and who is expected to easily and quickly solve any computer related task, here goes one possible quick and simple solution for building the aforementioned portfolio site.

Building a portfolio website is certainly not the most complex of I.T. tasks nowadays, however, the constraints surrounding my business case did make it quite challenging:

• My knowledge on Web Design and Website construction has not advanced since the early 00′s (CSS effects, Flash and HTML5 remain quite a mystery to me)
• The total cost of construction / hosting….and anything else, must be 0
• No ugly side effects of free hosting (such as popups) are allowed
• The portfolio must allow easy album management: uploading, coding and any other technical aspects are to remain transparent for the end user

1. Get a pair of Flickr API keys here

2. Write the code to invoke the REST url through curl, parse the xml, and transform the result into a nice array:

When I first discovered google search some time ago, one of the first queries I issued was “David Valcárcel Romeu”, that is, me.

Regardless of the reasons why one would want to know the degree of one’s internet presence, such as ego or curiosity, the idea has come to be quite a common practice, and several terms have even appeared to identify this trend.

New possibilities of querying the world wide web appear at almost the same frequency in which new ways to share information become available, and with the advance of the Semantic Web, it is incredibly easy to explore the web in different ways.

While thinking about this idea, I wondered if it would be possible to “self flickr” myself.

For example, thanks to the flickr API, it is possible to query the flickr photo base in innovative ways, such as integrating flickr content with a semantic web version of wikipedia.

As the moment of this writing, flickr has over 80 million geotagged photos.

I myself have a collection of photo’s that have been geotagged.

Could it be possible to find myself in someone else’s photo, somewhere in the background, inadvertently becoming part of the picture?

For each one of my photos, I created a link that allows to query flickr for photos that were taken at more or less the same time and at more or less the same place.

Timestamp and geolocation information is extracted from each photo, and used as search criteria for the flickr API call.

For the moment, I have not managed to find myself in somebody else’s photo, although results are surprising: some photos were taken at almost the same time and at almost the same place.

In theory, the possibility of finding myself should increase day by day, as users continue to embrace photo geotagging technologies.

Thinking ahead, it should be possible to include other photo sharing sites that offer querying APIs, and thinking even more ahead at a larger scale, one could even consider running queries continuously, and analyzing results with face detection applications for examples…

The question that remains is if all this is just some sort of egolized form of amusement à la Where’s Wally?, or if this and similar ideas is something to bring up next time you run in to some idea-searching VC’s…

When it comes to website traffic analysis, the non-commercial nature of my blog greatly limits the information I am really interested in:

• Traffic Source (search engine, external reference…etc.)
• Traffic Location (geographical network location)
• Content Viewed (pages, time spent…)
• Exit Point (exit url)

Sitemeter does a great job in displaying this type of information in a clear and organized manner, and that is why sitemeter was my choice for my website traffic analysis needs.

Up until now.

How many times per day does this stand between you and your data?