Re: The AIDA Dashboard: a new tool for analysing research in Computer Science

Hi Francesco,

That sounds great. I wonder what it would take for us to link up the 
illustrations and images from the papers also. That would be a nice task 
too.

Maybe we could work with the CS-KG dataset in someway...... we could 
link topics and paper titles to the images.

I am doing this myself with ImageSnippets by linking up the 
illustrations I've created for academic papers to the papers I've 
published.

So many knowledge engineering tasks are indeed, quite time intensive and 
require the creators themselves or other SME's to devote a lot of focus on.

I think one of the big dilemmas of this century, given the amount of 
leisure time we are increasingly creating, will be what to do with this 
time. Should we spend it on knowledge engineering tasks, environmental 
clean up or just spending as much time as we can outdoors in places 
where it's not too hot or cold? :-)

Best,

Margaret




On 9/20/2022 5:12 AM, Francesco.Osborne wrote:
> Hi Sarven and Margaret,
> That is actually something we are also working on and one of the most exciting scientific challenges in my opinion, as it can have a profound impact on the research process. It is not easy since it requires a deep understanding of natural language (to do it automatically) or a new set of strong incentives (to convince researchers to do it).
>
> As first step, we recently generated the Computer Science Knowledge Graph (CS-KG, http://w3id.org/cskg),  which includes over 350M RDF triples describing 41M statements from 6.7M articles about 10M entities (e.g., tasks, methods, materials, metrics) linked by 179 semantic relations. Each statement (e.g.  <sentiment_analysis, usesMethod, deep_learning>) is associated with the set of articles it was extracted from. CS-KG  was designed to support a large variety of intelligent services for analyzing and making sense of research dynamics, supporting researchers in their daily job, and informing decision of funding bodies and research policy makers. We will present it in the ISWC Resource track and hope that the community will be able to reuse it and improve it in the following years.
>
> Cheers,
> Francesco
>   
>
>> On 14 Sep 2022, at 10:48, Sarven Capadisli <info@csarven.ca> wrote:
>>
>> On 2022-09-14 10:11, Angelo Salatino wrote:
>> Is it possible to discover problem statements, motivation, hypothesis, arguments, workflow steps, methodology, design, results, evaluation, conclusions, future challenges, as well as all inline semantic citations (to name a few) where they are uniquely identified and related to other data?
>>
>> If not, why not?
>>
>> -Sarven
>> https://csarven.ca/#i
>> <OpenPGP_0xA74187CE3D508E3A.asc>

Received on Tuesday, 20 September 2022 14:01:46 UTC