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With Valentine we consolidate the best that Schema Matching literature has to offer and make it easily deployable for any Dataset Discovery method!
Data Integration folks of Twitter: we offer 7 SOA matching algorithms for data discovery, along with curated datasets and column matches so that you don't have to do it yourself.
Use Valentine in your next project. No excuses, it's really easy to deploy! delftdata.github.io/valentin…
After some exciting and productive years at @tudelft and @wisdelft, last Monday I successfully defended my PhD dissertation on tabular schema matching! Always grateful to the people that co-advised me, and especially @kAsterios!
I was also honored to have my dissertation reviewed by an amazing external committee: @jfreirenet, Felix Naumann, Yannis Velegrakis and @GSmaragdakis!
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My dissertation titled "Tabular Schema Matching for Modern Settings" is available here: repository.tudelft.nl/record…
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Christos Koutras retweeted
On Valentine’s day, all you need is pip 😍
Whether you found your match in life or not, Valentine matches your datasets.
Feb. 14th anniversary-release (v0.2.0) includes:
— faster batch-matching
— more string similarity functions
— redesigned metrics
++
github.com/delftdata/valenti…
Talking about matching tabular data among silos with SiMa @TrlWorkshop at NeurIPS!
P.S. : If you use fabric for printing your poster, make sure you bring the right kind of tape with you!
Christos Koutras retweeted
We have extended our DEBS paper with:
- discussing transactional #serverless functions and dataflow systems
- a discussion on isolation levels
- more experiments
...
Here: doi.org/10.1016/j.is.2022.10…
With Martijn de Heus @kPsarakis @MarioFragkoulis
We received the🏆 Best Paper Award at @ACM_DEBS! 🏆
For implementing transactions (2PC and Sagas) on @ApacheFlink's Serverless Functions (@statefun_io).
Great work by Martijn De Heus, @kPsarakis and @MarioFragkoulis!
Video: youtu.be/JU4g42RyiNY
PDF: dl.acm.org/doi/10.1145/34654…
Feb 14th is a proper day for reminding people of our Valentine project:
Project page: delftdata.github.io/valentin…
Repo: github.com/delftdata/valenti…
Python package: pypi.org/project/valentine/
Help your data find their matches! #Python #databases @tudelft
Christos Koutras retweeted
Today at 23:20 CET/13:30 PST at @cidrdb, @RHai_nl will be presenting Amalur, a novel approach to data integration in data lakes. Really cool foundational work that Rihan leads at @tudelft with @ckoutras91 and @andradenisio!
cidrdb.org/cidr2022/papers/a…
Christos Koutras retweeted
This Friday 16:00 CET @dsdsdnl I'm organising a panel discussion with @raulcfernandez, @juansequeda, @georgehiroshi, @velgias, @MadelonHulsebos and @ckoutras91.
Is dataset discovery automatable or should we focus on human-in-the-loop solutions? Is DB research on the right path?
Christos Koutras retweeted
The next seminar will be on Oct 15, 2021, 4:00pm-5:30pm (CET). Raul Castro Fernandez @raulcfernandez will talk about Data Stations - a new architecture to facilitate data sharing within and across organizations (dsdsd.da.cwi.nl/upcoming_tal…). Looking forward to seeing you there!
Christos Koutras retweeted
You can now `pip install valentine` to perform & evaluate schema matching on #pandas #DataFrames.
pypi.org/project/valentine/
It takes a minute and 10 LOC (or simply run the example under github.com/delftdata/valenti…).
Kudos @ckoutras91 and @kPsarakis!
10 days after Valentine's day, I'm happy to report that @ckoutras91's paper will be presented in this year's @icdeconf. With lots of sweat & tears @siachamis, @andradenisio, @kPsarakis, @MarioFragkoulis , and @ang3ela!
Christos Koutras retweeted
We are very happy to announce that DSDSD resumes on October 1st at the usual time - 4pm CET - with two very interesting talks by Konstantinos Karanasos (Microsoft's Gray Systems Lab) and Ziyu Li (TU Delft).
Christos Koutras retweeted
New report on AI and structural inequalities!
- It shows why we need to go beyond CS notions of bias/unfairness,
- Recommends to integrate them into a much broader set of considerations around AI harms (repercussions from or onto ML, production, infrastructures, organisations).
1/8 🙅♀️ Debiasing AI is not a silver bullet! 🙅🏾♂️
EDRi's latest report by @AggieBalayn & @sedyst from @tudelft shows that EU policymakers must STOP framing AI harms as technical flaws in the design of the AI systems, which can be fixed by using tech or "debiasing" solutions.
With this demo we make Valentine easily deployable for Schema Matching evaluation and capturing relevance among tabular datasets in data lakes and repositories!
Vol:14 No:12 → Valentine in Action: Matching Tabular Data at Scale vldb.org/pvldb/vol14/p2871-k…




















