Hi
This project (i.s. WD Aqua) targets a broad topic (Question answering on
Web of Data) encountering different challenges. In total 15 PhD students
will work on that in a training network. But each student will be narrowed
down on a specific challenge.
We will target all aspects and challenges for launching a question
answering system on Web of Data as follows:
1. Making datasets fit for question answering:
- Semi-automatically cleaning and enriching datasets for question
answering.
- Data quality assessment.
- Evaluate effectiveness and efficiency on big, real datasets.
- Quality-driven dataset discovery & retrieval.
2. Translating questions into federated queries.
- Query interpretation.
- Query Disambiguation.
- Query cleaning.
- Formal query construction.
- Answer type prediction.
- …
3. Cloud-based open question answering architecture (OpenQA) for an open Web
4. Initial training in engineering enterprise-ready software.
- Evaluate in two different domains of e-commerce how easily non-experts
can compose application-specific QA pipelines using the wizard.
5. High-quality interpretation of voice input and natural language text as
database queries
For more information you can have a look at
http://www.iai.uni-bonn.de/~langec/wdaqua/#
if you are interested in a specific topic, I would be happy to share more
information with you.
On Wed, Feb 11, 2015 at 7:02 PM, Igo R <[email protected]> wrote:
> Any (more) specific project goals, purpose? Because it sounds like about
> everything using all tools...
>
> On Sunday, February 8, 2015 at 1:57:57 PM UTC-5, Saeedeh Shekarpour wrote:
>>
>> Fraunhofer IAIS is pleased to announce two PhD positions - fully-funded
>> with the EU research project: “WDAqua: Answering questions using Web Data”,
>> which has started in January 2015.
>>
>> ...
>>
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--
Best Regards
--------------------------------------------------------
Saeedeh Shekarpour
Postdoctoral Researcher
Enterprise Information Systems Department, University of Bonn
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