[iaoa-swao] Stardog Labs Potential Post (Feel free to suggest improvements)

[Andrea Westerinen]

Evren, Will the image be complete? It appears to be cut off in the
preview.  The industry diagram is simpler and smaller, if the country one
is too big.

Andrea Westerinen
T: 425.891.8407
arwesterinen at gmail.com or andrea at ontoinsights.com
https://organizingknowledge.blogspot.com
https://hearing-all-voices.blogspot.com


On Wed, Jan 12, 2022 at 10:33 PM Evren Sirin <evren at stardog.com> wrote:

> Hi Andrea,
>
> I'm sorry I'm very late to get back to you. This fell through the cracks
> during the holidays.
>
> The write up looks great. I turned it into a blog post on our site. You
> can see the preview <https://deploy-preview-55--stardog-labs.netlify.app> yourself.
> I used one of the ontology diagrams from github on the front page. Let me
> know if you'd like to use something else. Once we finalize the details I'll
> publish this on the website.
>
> Best,
> Evren
>
> On Mon, Dec 20, 2021 at 9:10 PM Andrea Westerinen <arwesterinen at gmail.com>
> wrote:
>
>> Using Stardog and Knowledge Graphs for ESG Business Impact Analysis
>>
>> Pressing environmental, social and governance (ESG) challenges require
>> data-intensive insights. The ESG market is large and rapidly growing, with
>> sustainable investments growing to more than a third of all global assets,
>> and sweeping environmental regulation being passed world-wide. This
>> confluence of events presents opportunities, and a demand for reliable,
>> insightful data about companies’ performances, and their impact on regional
>> environmental and climate conditions. Amplifying the problem, ESG metrics
>> are usually just a collection of raw, numbers that require study and
>> interpretation with each use.
>>
>> Data innovations for ESG need to be based on robust, transparent
>> foundations. Knowledge graph technology can be used to provide a rich,
>> contextual view -- connecting data from disparate sources and providing
>> backing semantics for the data's concepts and relationships. Using
>> knowledge graphs, users can gain richer, contextual insights into the
>> problem space and create reusable knowledge.
>>
>> In order to raise awareness of the use of knowledge graph technology for
>> ESG business planning, the Impact Demo Knowledge Graph was constructed and
>> used in the Hanken Quantum Hackathon 2021 (
>> https://www.hanken.fi/en/calendar/hanken-quantum-hackathon-2021). A
>> backing ontology was defined to fuse information about 1900+ companies --
>> including their industries, profits, environmental impacts, and country of
>> headquarters -- and relate that with data about their "headquarters"
>> country. The company data provided calculated dollar amounts (in US
>> Dollars) for various types of environmental impacts. This data was
>> extracted (using Python code) from a spreadsheet based on the Harvard
>> study, Corporate Environmental Impact: Measurement, Data and Information (
>> https://hbswk.hbs.edu/item/corporate-environmental-impact-measurement-data-and-information).
>> The country data, on the other hand, provided statistics on a country's
>> electricity production, environmental issues, demographics and many other
>> details. It was assembled by web scraping the pages of the CIA World
>> Factbook (https://www.cia.gov/the-world-factbook/).
>>
>> All the data for the Quantum Hackathon was stored in a Stardog graph
>> database, hosted in the cloud. Each of the 14 Hackathon teams had an
>> account. There were 12 stored SPARQL queries for modification and use by
>> the teams, to ease the learning curve. An overview of the infrastructure
>> (the ontology and data), as well as details on using Stardog Studio and
>> Explorer, were provided via written documentation on GitHub (available at
>> https://github.com/ontoinsights/deep_narrative_analysis/tree/master/ontol-docs/hackathon-docs)
>> and a video overview (https://lnkd.in/dj_NUp_w).
>>
>> In order to see Stardog's value in action ... take a look at the video.
>> The Stardog portion of the overview starts at about 19:50 minutes.
>>
>> Andrea Westerinen
>> T: 425.891.8407
>> arwesterinen at gmail.com or andrea at ontoinsights.com
>> https://organizingknowledge.blogspot.com
>> https://hearing-all-voices.blogspot.com
>>
>>
>> On Tue, Dec 14, 2021 at 1:48 PM Evren Sirin <evren at stardog.com> wrote:
>>
>>> Hi Andrea,
>>>
>>> Thanks for sharing the video, it is great. Would you be interested in
>>> writing a short guest blog post for Stardog Labs
>>> <https://www.stardog.com/labs> about this? I was thinking maybe a
>>> couple paragraphs explaining the hackathon and a link to the video.
>>>
>>> Best,
>>> Evren
>>>
>>> On Sat, Dec 4, 2021 at 10:50 AM Andrea Westerinen <
>>> arwesterinen at gmail.com> wrote:
>>>
>>>> https://youtu.be/0TlOVC8VHaM
>>>>
>>>> It explains the KG in the first 20 mins and then uses Studio and
>>>> Explorer to illustrate querying and visualizing the KG.
>>>>
>>>> If it could be helpful, feel free to use it. (Right now it is posted as
>>>> "unlisted" on my husband's YouTube account. We can move it.)
>>>>
>>>> Andrea Westerinen
>>>> T: 425.891.8407
>>>> arwesterinen at gmail.com or andrea at ontoinsights.com
>>>> https://organizingknowledge.blogspot.com
>>>> https://hearing-all-voices.blogspot.com
>>>>
>>>
>>>
>>> --
>>>
>>>
>>> *Evren Sirin*
>>> CTO
>>> Stardog
>>> *evren at stardog.com <evren at stardog.com>*
>>>
>>>
>>>
>
> --
>
> *​*
> *Evren Sirin*
> CTO
> Stardog
> *evren at stardog.com <evren at stardog.com>*
>
>
>
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