Hello Daniel,
Great to meet you! And sorry for the delay but this week has been rather
busy. For the keyword search and QA, please first read the papers
pointed out in the description of the keyword search task [1]
(especially SESSA, which is the key paper for this task) to get an idea
of existing solutions. The warmup task for keyword search would consist
of implementing a module for loading a fact-based representation of
DBpedia into a database (could be a graph database or a triple store. I
think a graph database world work best due to the spreading activation
paradigm that we aim to use.). We will then aim to implement an
efficient spreading activation based on this representation. This step
is necessary to implement the keyword-based search approach envisioned.
Thereafter, we can have a look at the dictionaries necessary to ground
the entries of the users. For question answering, the warmup task would
consists of creating a lookup solution for classes, properties and
resources.
Best regards,
Axel
[1] http://wiki.dbpedia.org/gsoc2015/ideas#h460-5
Hello everyone.
My name is Daniel, I'm currently a third year student pursuing a
Bachelor of Applied Math degree in Odessa National University in Ukraine.
I'm interested in contributing to DBPedia project, because I believe
that pushing the boundaries of mankind's knowledge is important,
and artificial intelligence in general and knowledge bases in
particular are among the most promising fields of science.
I have 2.5 year programming experience in general and 1 year experince
in particular in Java programming (Android apps and high-load web
services development). I want to improve dbpedia's QA engine, but I
can also work on search engine or statistics, error reporting tools.
How can I learn in detail about this tasks (requirements,
desirable outcome etc.)
Thanks in advance,
Daniel.
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things parallel software development, from weekly thought leadership blogs to
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conversation now. http://goparallel.sourceforge.net/
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