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Comment by debarshri | Hacker News Reader

At TU delft, I was supposed to do my PhD in semantic web especially in the shipping logistics. It was funded by port of Rotterdam 10 years ago. Idea was to theorize and build various concepts around discrete data sharing, data discovery, classification, building ontology, query optimizations, automation and similar usecases. I decided not to pursue phd a month into it.

I believe in semantic web. The biggest problem is that, due to lack of tooling and ease of use, it take alot of effort and time to see value in building something like that across various parties etc. You dont see the value right away.

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Funny you bring up logistics and (data) ontologies. I'm a PM at a logistics software company and I'd say the lack of proper ontologies and standardized data exchange formats is the biggest effort driver for integrating 3rd party carrier/delivery services such as DHL, Fedex etc.

It starts with the lack of a common terminology. For tool A a "booking" might be a reservation e.g. of a dock at a warehouse. For tool B the same word means a movement of goods between two accounts.

In terms of data integration things have gotten A LOT worse since EDIFACT is de facto deprecated. Every carrier in the parcel business is cooking their own API, but with insufficient means. I've come across things like Polish endpoint names/error messages or country organisations of big Parcel couriers using different APIs.

IMHO the EU has to step in here because integration costs skyrocket. They forced cellphone manufacturers to use USB-Cs for charging, why can't they force carriers to use a common API?

The EU is doing its part in some domains. There is e.g., the eProcurement ontology [1] that aims to harmonize public procurement data flows. But I suppose it helped alot that (by EU law) everybody is obliged to submit to a central repository.

[1] https://docs.ted.europa.eu/epo-home/index.html

Good choice. The semantic web really brought me to the brink.

The community has its head in the sands about... just about everything.

Document databases and SQL are popular because all of the affordances around "records". That is, instead of deleting, inserting, and updating facts you get primitives that let you update records in a transaction even if you don't explicitly use transactions.

It's very possible to define rules that will cut out a small piece of a graph that defines an individual "record" pertaining to some "subject" in the world even when blank nodes are in use. I've done it. You would go 3-4 years into your PhD and probably not find it in the literature, not get told about it by your prof, or your other grad students. (boy I went through the phase where I discovered most semantic web academics couldn't write hard SPARQL queries or do anything interesting with OWL)

Meanwhile people who take a bootcamp can be productive with SQL in just a few days because SQL was developed long ago to give the run-of-the-mill developer superpowers. (imagine how lost people were trying to develop airline reservation systems in the 1960s!)

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