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Under Construction.

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Ubuntu 10.04 Lucid Lynx – Solving ALSA problems

After upgrading a Dell Vostro V13 laptop to Ubuntu 10.04 Lucid Lynx, my sound system did not work anymore.

I tried around with a variety of proposed solutions. Nothing worked, so I finally reinstalled alsa drivers etc. and in addition I needed to install ‘linux-backports-modules-alsa-lucid-generic package’ to finally solve the problem.

Import Bibsonomy Tag Annotations into Mendeley

For users who want to switch from bibsonomy to Mendeley, they face the problem that a simple import from the bibsonomy export file to Mendeley does not work satisfying. The reason is that tags stored in bibsonomy are represented in the bib-file as ‘keywords’ which is interpreted by Mendeley as author keywords and not user-generated tag annotations. As this seems to be a reoccuring issue, here’s a very simple python code which you can run on your export file from bibsonomy.org to parse it into a Mendeley compatible version

f = open(bibsonomy_export.txt','rb')

f1 = open('mendeley_import.bib','wb')

for line in f:
  if line.startswith('  keywords = {'):
    f1.write(line.replace('  keywords = {','mendeley-tags={').replace(' ',','))
  else:
    f1.write(line.lstrip())

f1.close()

Main research topics of my next 4 months at ELIKO

In my last secondment I was mainly dealing with semantically enhanced information retrieval. Part of that work included research on personalization strategies to enhance the relevance of the retrieved output. The main research topics for my second secondment follow up this topic and try to investigate the role of users more specifically. Personalization heavily depends on the system’s knowledge about each user. First, it needs to gather relevant information and second, it needs to update and maintain the user’s information, this information is usually stored in a user model.

Thus, research involves the following main topics:

  • Implicit user modeling methods based on usage log data mining
  • Analysis of user behavior in social tagging systems based on their search logs and/or tag annotations.
  • And finally also more general approaches for personalization in social information systems

The Beginning Is The End Is The Beginning…

Today is Feb 17th, my last day of my current secondment at ELIKO as part of the TEAM project. That’s the bad news.

The good news is that that’s not the end. I decided to extend my stay in Estonia and added a second secondment which will last for another 4 months. In terms of research I will move from social semantic search to user modeling for academic knowledge management. Details about the experiences during my first secondment and plans for my second secondment to follow soon.

 

A survey on Socio-Semantic Information Retrieval

During my first secondment at ELIKO, I was involved in WP3 and part of my work was to investigate current state-of-the-art technologies to enhance information retrieval by employing semantics. During the process of identifying relevant literature, we came to the conclusion that despite the popularity of topics like semantic search, information retrieval based on NLP, search in social tagging systems, all of them utilizing semantics varying degrees, the notion of semantically enhanced information retrieval is still very diffuse.

Here is a short abstract of the survey which we plan to submit to a well-known journal for publication.

The parallel rise of the Social and Semantic Web provides unprecedented possibilities for the development of novel methods to enhance the information retrieval (IR) process by including varying degrees of semantics. We tries to bring light into the corresponding notion of semantically-enhanced information retrieval by presenting state-of-the art techniques in both research areas. We describe techniques based on the main processes of a typical IR workflow and map them onto three main types of semantics, which vary from formal semantic knowledge representations and content-based semantics to social semantics emerging through usage and user interactions.