The semantic web is dead – Long live the semantic web

254 点作者 LukeEF将近 3 年前

53 条评论

cyocum将近 3 年前

The author of this post mentions the Humanities at the end of their post and TerminusDB. I work on a Humanities based project which uses the Semantic Web (<a href="https://github.com/cyocum/irish-gen" rel="nofollow">https://github.com/cyocum/irish-gen</a>) and I have looked at TerminusDB a couple of times.The main factor in my choice of technologies for my project was the ability to reason data from other data. OWL was the defining solution for my project. This is mainly because I am only one person so I needed the computer to extrapolate data that was logically implied but I would be forced to encode by hand otherwise. OWL actually allowed my project to be tractable for a single person (or a couple of people) to work on.The author brings up several points that I have also run into myself. The Open World Assumption makes things difficult to reason about and makes understanding what is meant by a URL hard. Another problem that I have run into is that debugging OWL is a nightmare. I have no way to hold the reasoner to account so I have no way when I run a SPARQL query to be able to know if what is presented is sane. I cannot ask the reasoner "how did you come up with this inference?" and have it tell me. That means if I run a query, I must go back to the MS sources to double check that something has not gone wrong and fix the database if it has.Another problem that the author discusses and what I call "Academic Abandonware". There are things out there but only the academic who worked on it knows how to make it work. The documentation is usually non-extant and trying to figure things out can take a lot of precious time.I will probably have another look at TerminusDB in due course but it will need to have a reasoner as powerful as the OWL ones and an ease of use factor to entice me to shift my entire project at this point.

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lmeyerov将近 3 年前

Very cool topic... and not the article I was expecting!I actively work with teams making sense of their massive global supply chains, manufacturing process, sprawling IT/IOT infra behavior, etc., and I personally bailed from RDF to bayesian models ~15 years ago... so I'm coming from a pretty different perspective:* The historical killer apps for semantic web were historically paired with painfully manual taxonomization efforts. In industry, that's made RDF and friends useful... but mostly in specific niches like the above, and coming alongside pricey ontology experts. That's why I initially bailed years ago: outside of these important but niche domains, google search is way more automatic, general, and easy to use!* Except now the tables have turned: Knowledge graphs for grounding AI. We're seeing a lot of projects where the idea is transformer/gnn/... <> knowledge graph. The publicly visible camp is folks sitting on curated systems like wikidata and osm, which have a nice back-and-forth. IMO the bigger iceberg is from AI tools getting easier colliding with companies having massive internal curated knowledge bases. I've been seeing them go the knowledge graph <> AI for areas like chemicals, people/companies/locations, equipment, ... . It's not easy to get teams to talk about it, but this stuff is going on all the way from big tech co's (Google, Uber, ...) to otherwise stodgy megacorps (chemicals, manufacturing, ..).We're more on the viz (JS, GPU) + ai (GNN) side of these projects, and for use cases like the above + cyber/fraud/misinfo. If into it, definitely hiring, it's an important time for these problems.

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bawolff将近 3 年前

Funnily enough, the why semantic web is good section is the section that actually identifies why it failed.We are going to have an ultra flexible data model that everyone can just participate in?That never works. Protocols work by restricting possibilities not allowing everything. The more possibilities you allow, the more room for subtle incompatibilities and the more effort you have to spend massaging everything into compatibility.

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jerf将近 3 年前

The reason why the semantic web is even more fundamental: You can't get everyone to agree on one schema. Period. Even if everyone is motivated to, they can't agree, and if there is even a hint of a reason to try to distinguish oneself or strategically fail to label data or label it incorrectly, it becomes even more impossible.(I mean, the "semantic web" has foundered so completely and utterly on the problem of even barely working at all that it hasn't hardly had to face up to the simplest spam attacks of the early 2000s, and it's not even remotely capable of playing in the 2022 space.)Agreement here includes not just abstract agreement in a meeting about what a schema is, but complete agreement when the rubber hits the road such that one can rely on the data coming from multiple providers as if they all came from one.Nothing else matters. It doesn't matter what the serialization of the schema that can't exist is. It doesn't matter what inference you can do on the data that doesn't exist. It doesn't matter what constraints the schema that can't exist specifies. None of that matters.Next in line would be the economic impracticality of expecting everyone to label their data out of the goodness of their hearts with this perfectly-agreed-upon schema, but the Semantic Web can't even get far enough for this to be its biggest problem!Semantic web is a whole bunch of clouds and wishes and dreams built on a foundation that not only does not exist, but can not exist. If you want to rehabilitate it, go get people to agree (even in principle!) on a single schema. You won't rehabilitate it. But you'll understand what I'm saying a lot more. And you'll get to save all the time you were planning on spending building up the higher levels.

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leoxv将近 3 年前

I'm building a front end app for Wikipedia & Wikidata called Conzept encyclopedia (<a href="https://conze.pt" rel="nofollow">https://conze.pt</a>) based on semantic web pillars (SPARQL, URIs, various ontologies, etc.) and loving it so far.The semantic web is not dead, its just slowly evolving and and growing. Last week I implemented JSON-LD (RDF embedded in HTML with a schema.org ontology), super easy and now any HTTP client can comprehend what any page is about automatically.See <a href="https://twitter.com/conzept__" rel="nofollow">https://twitter.com/conzept__</a> for many examples what Conzept can already do. You won't see many other apps do these things, and certainly not in a non-semantic-web way!The future of the semantic web is in: much more open data, good schemas and ontologies for various domains, better web extensions understanding JSON-LD, more SPARQL-enabled tools, better and more lightweight/accessible NLP/AI/vector compute (preferably embedded in the client also), dynamic computing using category theory foundations (highly interactive and dynamic code paths, let the computer write logic for you), ...

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strangattractor将近 3 年前

Having worked for an Academic Publisher that had intense interest in this I finally came to the following conclusions to why this is DOA.1. Producers of content are unwilling to pay for it (and neither are consumers BTW) 2. It is impossible to predict how the ontology will change over time so going back and reclassifying documents to make them useful is expensive. 3. Most pieces of info have a shelf life so it is not worth the expense of doing it. 4. Search is good enough and much easier. 5. Much of what is published is incorrect or partial so.In the end I decided this is akin to discussing why everybody should use Lisp to program but the world has a differ opinion.

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pornel将近 3 年前

Semantic Web lost itself in fine details of machine-readable formats, but never solved the problem of getting correctly marked up data from humans.In the current web and apps people mostly produce information for other people, and this can work even with plain text. Documents may lack semantic markup, or may even have invalid markup, and have totally incorrect invisible metadata, and still be perfectly usable for humans reading them. This is a systemic problem, and won't get better by inventing a nicer RDF syntax.In language translation, attempts of building rigid formal grammar-based models have failed, and throwing lots of text at a machine learning has succeeded. Semantic Web is most likely doomed in the same way. GPT-3 already seems to have more awareness of the world than anything you can scrape from any semantic database.

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iamwil将近 3 年前

On our podcast, The Technium, we covered Semantic Web as a retro-future episode [0]. It was a neat trip back to the early 2000s. It wasn't a bad idea, pre se, but it depended on humans doing-the-right-thing for markup and the assumption that classifying things are easy. Turns out neither are true. In addition, the complexity of the spec really didn't help those that wanted to adopt its practices. However, there are bits and pieces of good ideas in there, and some of it lives on in the web today. Just have to dig a little to see them. Metadata on websites for fb/twitter/google cards, RDF triples for database storage in Datomic, and knowledge base powered searches all come to mind.[0] <a href="https://youtu.be/bjn5jSemPws" rel="nofollow">https://youtu.be/bjn5jSemPws</a>

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staplung将近 3 年前

Clay Shirky nailed in in 2003:<a href="https://deathray.us/no_crawl/others/semantic-web.html" rel="nofollow">https://deathray.us/no_crawl/others/semantic-web.html</a>I'll just excerpt the conclusion:``` The systems that have succeeded at scale have made simple implementation the core virtue, up the stack from Ethernet over Token Ring to the web over gopher and WAIS. The most widely adopted digital descriptor in history, the URL, regards semantics as a side conversation between consenting adults, and makes no requirements in this regard whatsoever: sports.yahoo.com/nfl/ is a valid URL, but so is 12.0.0.1/ftrjjk.ppq. The fact that a URL itself doesn’t have to mean anything is essential – the Web succeeded in part because it does not try to make any assertions about the meaning of the documents it contained, only about their location.There is a list of technologies that are actually political philosophy masquerading as code, a list that includes Xanadu, Freenet, and now the Semantic Web. The Semantic Web’s philosophical argument – the world should make more sense than it does – is hard to argue with. The Semantic Web, with its neat ontologies and its syllogistic logic, is a nice vision. However, like many visions that project future benefits but ignore present costs, it requires too much coordination and too much energy to effect in the real world, where deductive logic is less effective and shared worldview is harder to create than we often want to admit.Much of the proposed value of the Semantic Web is coming, but it is not coming because of the Semantic Web. The amount of meta-data we generate is increasing dramatically, and it is being exposed for consumption by machines as well as, or instead of, people. But it is being designed a bit at a time, out of self-interest and without regard for global ontology. It is also being adopted piecemeal, and it will bring with it with all the incompatibilities and complexities that implies. There are significant disadvantages to this process relative to the shining vision of the Semantic Web, but the big advantage of this bottom-up design and adoption is that it is actually working now. ```

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asplake将近 3 年前

Seems to miss the obvious double whammy:1) Because it burdens producers to no obvious benefit, a problem forever2) Because progress over time in language processing makes it less and less necessary

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boxslof将近 3 年前

keeping it short because on phone.working for a company, 100 % semantic web, integrating many, many parties for many years now, all of it rdf.- you get used to turtle. one file can describe your db and be ingested as such. handy. - interoperability is really possible. (distributed apps) - hardest part is getting everyone to agree on the model, but often these discussions is more about resolving ambuigties surrounding the business than about translating it to model. (it gets things sharp) - agree on a minimum model, open world means you can extend in your app - don't overthink your owl descriptions- no, please no reasoners. data is never perfect.- tooling is there - triple stores are not the fastestpls, not another standard to fix the semantic web. Everything is there. More maturity in tooling might be welcome, but this a function of the number people using it.

0xbadcafebee将近 3 年前

Very well written introduction to some of the problems with semantic web dev.Personally I think the reason it died was there were no obvious commercial applications. There are of course commercial applications, but not in a way that people realize what they're using is semantic web. Of all the 'note keepers' and 'knowledge bases' out there, none of them are semantic web. Thus it has languished in academia and a few niche industries in backend products, or as hidden layers, ex. Wikipedia. Because there wasn't something we could stare at and go "I am using the semantic web right now", there was no hype, and no hype means no development.

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PaulHoule将近 3 年前

Semweb people got burned out by the stress of making new standards which means that standards haven't been updated. We've needed a SPARQL 2 for a long time but we're never going to get it.One thing I find interesting is that description logics (OWL) seem to have stayed a backwater in a time when progress in SAT and SMT solvers has been explosive.

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throwaway0asd将近 3 年前

Semantic web is data science for the browser. Most people can’t even figure out how to architect HTML/JS without a colossal tool to do it for them, so figuring out data science architecture in the browser is a huge ask.

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asiachick将近 3 年前

I only skimmed the article so maybe I missed I but at a glance it seemed the completely miss the biggest issue. People will intentionally mislabel things. If chocolate is trending people will add "chocolate" to there tags for bitcoin.You can see this all over the net. One example is the tags on SoundCloud.Another issue is agreeing on categories. say women vs men or male vs female. for the purpose of id the fluidity makes sense but less so for search. to put it another way, if I search for brunettes i'd better not see any blondes. If I search for dogs I'd better not see any cats. And what to do about ambiguous stuff. What's a sandwich? A hamburger? a hotdog? a gyro? a taco?

bpiche将近 3 年前

Looks like it's been temporarily suspended, but worth mentioning: The Cambridge Semantic Web meetup, which I attended frequently around 2010-2013. It was cofounded by Tim Berners-Lee, and I got to meet him there a couple times. In fact, I think its earliest iteration was Berners-Lee and Aaron Swartz.Met once a month in the STAR room at MIT. The best part was staying after to schmooze and drink with older programmers at the Stata Center bar down the hall from the STAR room. What a cool building, the Stata Center! And what cool topics we would discuss every week. Since Cambridge has so many pharma companies, a lot of the talks were regarding practical ontologies for pharmacology.edit, a spandrel: Isn't w3c based out of MIT? And Swartz and Berners-Lee were in Boston at the same time.<a href="https://www.meetup.com/The-Cambridge-Semantic-Web-Meetup-Group/" rel="nofollow">https://www.meetup.com/The-Cambridge-Semantic-Web-Meetup-Gro...</a>

gibsonf1将近 3 年前

The semantic web has been reintroduced as part of "Solid" by Tim Berners-Lee (and Inrupt) and is growing very fast: <a href="https://solidproject.org/" rel="nofollow">https://solidproject.org/</a>The opposite of dead in fact.

rch将近 3 年前

JSON-LD has some traction, but the author seems to prefer a slightly different syntax.I don't see a material difference, but I'm curious to know what others think.-- <a href="https://w3c.github.io/json-ld-bp/#contexts" rel="nofollow">https://w3c.github.io/json-ld-bp/#contexts</a>-- <a href="https://w3c.github.io/json-ld-bp/#example-example-typed-relationship-0" rel="nofollow">https://w3c.github.io/json-ld-bp/#example-example-typed-rela...</a>-- <a href="https://terminusdb.com/docs/index/terminusx-db/reference-guides/schema" rel="nofollow">https://terminusdb.com/docs/index/terminusx-db/reference-gui...</a>

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neilv将近 3 年前

In the late 1990s, I worked on lowercase-semantic Web problems.I used descriptions like "the Web as distributed machine-accessible knowledgebase".Some of the problems I identified were already familiar or hinted at from other domains (e.g., getting different parties to use the same terms or ontology, motivating the work involved, the incentive to lie (initially thinking mostly thinking about how marketers stretch the facts about products, though propaganda etc. was also in mind), provenance and trust of information, mitigations of shortcomings, mitigating the mitigations, etc.).One problem I didn't tackle... I got into distributing computation among huge numbers of humans, and probably stopped thinking about commercial organization incentives. I don't recall at that time asking "what happens if a group of some kind invests lots of effort into a knowledge representation, and some company freeloads off of that, without giving back?". But we had seen eamples of that in various aspects of pre-Web Internet and computing. Maybe I was thinking something akin to compilation copyright, or that the same power that generated the value could continue to surprise and outperform hypothetical exploiters. Also, in the late 1990s, every crazy idea without traditional business merit was getting funded, and it was all about usefulness (or stickiness) and what potential/inspiration you could show.

tconfrey将近 3 年前

I think the general message here is that complex and complete architectures tend to fail in favor of simpler solutions that people can understand and use to get things done in the here and now.Its interesting to me that the recent uptick in the personal knowledge management space (aka tools for thought)[0] is all around the bi-directional graph which is basically a 2-tuple simplified version of the RDF 3-tuple. You lose the semantics of a labelled edge, but its easier for people to understand.[0] See Roam Research, Obsidian, LogSeq, Dendron et al.

wyc将近 3 年前

We're trying to make semantic web models easier to use with a project called TreeLDR...I think usability has been one of the biggest issues of this ecosystem and OSS in general. Think programmer-friendly data structure definitions that compile to JSON-LD contexts, jsonschemas, and beyond.<a href="https://github.com/spruceid/treeldr" rel="nofollow">https://github.com/spruceid/treeldr</a>Shameless plug: we're hiring if you like this kind of stuff and Rust.

lysergia将近 3 年前

Long live the dream of the semantic web. For visual learners there’s a great YouTube video explaining the semantic web here:<a href="https://youtu.be/6gmP4nk0EOE" rel="nofollow">https://youtu.be/6gmP4nk0EOE</a>

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de6u99er将近 3 年前

While I love the semantic web I see two major issues with it:1. Standardization in regards of (globally) unique identifiers and ontologies. Most things un the semantic web have multiple identifiers and, based on personal preferences, attributes linked to different ontologies. There's several projects that try to gather data for the same thing from various ontologies, but sometimes the same attributes have differing values because of conversions or simply extracting data points from different publications where different methods have been used to measure stuff.2. Performance of large datasets gets really bad since distributing graphs is still a problem that lacks good solutions. One of the solutions is to store data in distributed column stores. But there's still a ton of unsolved graph traversal performance issues.I strongly believe that the technological batriers need to be solved first. Until then there will always be the person in meetings, asking why not use relational or NoSql tech because of performance...

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thirdtrigger将近 3 年前

Interesting writeup. I'm of the opinion that the problem of the naming issue (how to call "things"?) sits in the idea that going from structured documents to structured data is one abstraction level too deep (i.e., people don't agree on how to call "things"). I believe this can be solved by similarity search; if we can approximate the data and represent the structure in embeddings. Hopefully, this might be a step in the 2nd try, as mentioned in the MD :)> It would be like wikipedia, but even more all encompassing, and far more transformational.You might like to see this (<a href="https://weaviate.io/developers/weaviate/current/tutorials/semantic-search-through-wikipedia.html" rel="nofollow">https://weaviate.io/developers/weaviate/current/tutorials/se...</a>) as a step in this direction because it contains the structured Wikipedia data and the embeddings to target individual nodes in the graph.

openfuture将近 3 年前

Lots of good points raised, necessary discussion.My take is that we know a lot of this already but refuse to accept the solutions. The way to exchange data and the way to relate and query data is both known to a large extent; canonical S-expressions and datalog-ish expressivity. I just can't understand why no one thinks datalisp.is a persuasive foundation.

pphysch将近 3 年前

I think there is a lot of fussing about technical solutions to what is ultimately a cultural problem.Suppose we had the perfect technology to define ontologies over real data.This doesn't address the fact that Anglo-American culture is hostile to alternative ontologies. The idea of "one Truth" is baked into the national consciousness, from classical Western religion+philosophy to the liberal-democratic Constitution to Wikipedia and the current Fact-Checking™ Brought To You By Lockheed-Martin™ news-media regime.With this worldview, there is no reason to invest in designing or implementing Semantic Web technologies. It's like building a a monument to a god that you don't believe exists. Waste of time.To be clear, I spend a lot of time thinking about the technical side too and implementing enterprise solutions. I just think it's naive to frame it as primarily a technical problem when it comes to wider public deployment.

travisgriggs将近 3 年前

> My experience in engineering is that you almost always get things wrong the first time.Probably the oldest gem I can remember, harvested from from a more senior mentor type, was the quip “It takes 3 times to get it right. And that’s an average. Get failing.”Now, I’m that older guy. I still think this holds.

hosh将近 3 年前

This is a really fascinating analysis. I have wondered why the semantic web never took off, and I am finding myself interested in being able to create data sources in a federated way. The author’s mention of Data Mesh and his own project, TerminusDB looks like what I had been looking for, for a side project.One adjacent project I did not see mentioned is XMPP. The extensibility of XMPP comes from being able to refer to schemas within stanzas of the payload. It’s also an interesting case study on an ecosystem built from a decentralized, extensible protocol. One of the burdens plaguing the XMPP ecosystem is spam, and I wonder to what extent we might see that if the semantic web revives again.

Arrgh将近 3 年前

Building a trust relationship between commercial entities isn't automatable; it nearly always requires a contract to be carefully hand-written and argued over by high-priced lawyers before any meaningful exchange of value can take place.Sure, this is an unfortunate level of friction, and overkill in many cases, but think about it from a cost/benefit perspective: I can spend $10k on legal fees and successfully avoid not just a lot of uncertainty, but very infrequently, the contract also protects me from losses that can be orders of magnitude larger than it cost me to negotiate the contract.

mxmilkiib将近 3 年前

LV2 audio plugins use RDF/Turtle;<a href="https://github.com/lv2/lv2" rel="nofollow">https://github.com/lv2/lv2</a><pre><code> curl -H "Accept: text/turtle,application/rdf+xml" http://lv2plug.in/ns/ext/lv2core curl -H "Accept: text/turtle,application/rdf+xml" http://lv2plug.in/ns/ext/atom </code></pre> Some hosts also use it for saving audio graphs;<a href="https://drobilla.net/software/ingen.html" rel="nofollow">https://drobilla.net/software/ingen.html</a> <a href="http://drobilla.net/ns/ingen.html" rel="nofollow">http://drobilla.net/ns/ingen.html</a><a href="https://github.com/moddevices/mod-factory-user-data/tree/master/moddwarf/.pedalboards" rel="nofollow">https://github.com/moddevices/mod-factory-user-data/tree/mas...</a> <a href="https://pedalboards.moddevices.com/" rel="nofollow">https://pedalboards.moddevices.com/</a>

olivermarks将近 3 年前

A little odd that Freebase is not mentioned here - it was bought by Google and forms a substantial part of their search<a href="http://radar.oreilly.com/archives/2007/03/freebase-will-p-1.html" rel="nofollow">http://radar.oreilly.com/archives/2007/03/freebase-will-p-1....</a>

kukkeliskuu将近 3 年前

There are deeper issues with semantic web.Look at the EDIFACT. Huge standardization effort, but it was still not possible to automate system to system communication, because ultimately you need to rely on some words, and words are flexible. I was working with multiple companies that understood "through-invoicing" in EDIFACT differently, but the differences were so subtle they needed a third party to clarify those differences.Lately, in various sectors, such as finance, there are commercially available reference data models. These are extremely complex, because they need to cover all the possible alternatives businesses might have, in various countries. Just to gain basic understanding of such a model is a huge effort. To have people to label things properly would probably involve learning a similar system.

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civilized将近 3 年前

The web is already semantic and machine-readable. The machine reads and interprets the HTML code and displays the semantic meaning of the page to the user.If you want the machine to read the same meaning out that the human does, you need a smarter machine, not a different format.

boilerupnc将近 3 年前

For a year and a half, I worked on a project called OSLC: Open Services for Lifecycle Collaboration [0] which became an Oasis Open Project. It's an open community building practical specifications for integrating software. For software tools that adopt and provide OSLC enabled APIs, data integration and supported use cases become really easy.As an example, if your department prefers Tool A for defining requirements (Aha, etc ...), Tool B for change management (bugzilla, etc ...) and Tool C for test management and they aren't already a unified platform, it can be hard to gain semantic context across them. I've seen many situations where dev teams prefer a specific FOSS/vendor change management tracking tool while testers prefer a different thing and are unwilling to change because of historical test automation investment. To illustrate, imagine I run a test and it fails. I want to open a bug and have it linked to this failing test and also associate it with an existing requirement. If all 3 tools are OSLC API enabled consumers/producers, then their data can be integrated together trivially and experiences can be far more seamless and pleasant to all involved (e.g. testers can have popups to query (find/select reqmnts) or delegated creates (open new bug)) without leaving their own familiar test tool's UI. Nice. Anything can have an OSLC enabled API adapter from existing servers to spreadsheets (with an associated proxy server). It has great promise in bringing FOSS/vendor tooling together.In a nutshell, it's a set of standards around building a digital thread for tools to integrate together. Workstreams are focused per domain (quality management, change management, requirements management, etc ...) [1]. Linked Data and RDF are its core tech underpinning [2][0] <a href="https://open-services.net/" rel="nofollow">https://open-services.net/</a>[1] <a href="https://open-services.net/specifications/#active-publications" rel="nofollow">https://open-services.net/specifications/#active-publication...</a>[2] <a href="https://oslc.github.io/developing-oslc-applications/technical-foundations.html" rel="nofollow">https://oslc.github.io/developing-oslc-applications/technica...</a>

jansc将近 3 年前

The semantic web is dead. Long live Topic maps [1] ;-)<a href="https://en.wikipedia.org/wiki/Topic_map" rel="nofollow">https://en.wikipedia.org/wiki/Topic_map</a>

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indymike将近 3 年前

A lot of the semantic web has evolved, spurred on by SEO and the need to accurately scrape data from web pages. The old semantic web seemed to be more of a solution in search of every problem. I'm not surprised that searches for "semantic web" are down - as most interest now is focused on structured data via microformats, LD-JSON and standards published at schema.org.

rushabh将近 3 年前

I am surprised no one has mentioned schema.org. It is a much simpler standard and more widely used than RDF/OWL.Another point I think is that it is not in any publishers interest to publish structured data, as it easily copy-able. For example, neither Amazon nor Wikipedia publishes using schema.org. It would make their data susceptible to 3rd party aggregators.

pulposus将近 3 年前

I love that a post on why we need the semantic web has a subheading titled “Key Innvoations”, because really the reason the semantic web died is because we need automated agents capable of dealing with the web as it is, not a web designed for automated agents.

lolive将近 3 年前

Whoever dismisses the semantic web and prefers CSV for data exchange can burn in HELL!!!

lancesells将近 3 年前

> Because distributed, interoperable, well defined data is literally the most central problem for the current and near future human economy.I'm having a really hard time seeing this at least in the terms of the web and the majority of web content.

WaitWaitWha将近 3 年前

Very interesting. I would like to see pricing, specially for the stringchair. I have a few buddies that could use it.

galaxyLogic将近 3 年前

I think the answer is Datalog. It is simple, simpler than SQL but powerful like Prolog. Why hasn't it caught on?

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fzliu将近 3 年前

I'm always surprised when articles like these don't talk about the meaning behind the original phrase. The semantic web came to be because there existed a need for computers to understand the contents of webpages, which were invariably human-generated.We now have a huge set of tools for that under the broader AI/ML umbrella - ML is obviously imperfect, but its cautious utilization across various industries is, to me, a step in the right direction. There's simply no need to pigeonhole ourselves into a "semantic web" data model that might not fit a particular topic or application.I personally think that embeddings (<a href="https://milvus.io/docs/v1.1.0/vector.md" rel="nofollow">https://milvus.io/docs/v1.1.0/vector.md</a>) will eventually take over semantic search applications. NLP, for better or worse, have seen great success naively throwing text into massive pre-trained models (I say naively because a lot of these models still think Obama or Trump is president). We've also made great progress unifying the architecture of NLP and CV models via transformer architectures, and we're now seeing lots of CV applications follow suit.

MavropaliasG将近 3 年前

Interesting how he describes Wikidata, but he never mentions Wikidata in that post

est将近 3 年前

The semantic web never caught on, it's <div> web all along.

ramoz将近 3 年前

The future of web standards will be structured in neural network high dimensional spaces. Accessibility to that future web will be built in models that exist across a decentralized environment similar to blockchain/smart-contract architectures.

jxramos将近 3 年前

That github was created 2 days ago, wasn't this article discussed elsewhere someplace? It looks very recognizable. Was it on a blog or something and just made a new home in github or was it some other similar article I may be thinking about.

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Yahivin将近 3 年前

Cleary the writings of a brilliant and disturbed mind.

terminatornet将近 3 年前

blank is dead, long live blank

fleddr将近 3 年前

You can debate syntax forever but the semantic web will never rise without the proper incentives. Not only is there no incentive for industry to participate in it, there's in fact an anti-incentive to do so.Say you've build a weather app/website. Being a good citizen, you publish "weatherevent" objects. Now anybody can consume this feed, remix it, aggregate, run some AI on it, new visualizations, whichever. A great thing for the world.That's not how the world works. Your app is now obsolete. Anybody, typically somebody with more resources than you, will simply take that data and out-compete you, in ways fair on unfair (gaming ranking). You may conclude that this is good at the macro level, but surely the app owner disagrees on the micro level.Say you're one of those foodies, writing recipes online with the typical irrelevant life story attached. The reason they do this is to gain relevance in Google (which is easily misled by lots of fluffy text), which creates traffic, which monetizes the ads.Asking these foodies instead to write semantic recipe objects destroys the entire model. Somebody will build an app to scrape the recipes and that seals the fate of the foodie. No monetization therefore they'll stop producing the data.In commercial settings, the idea that data has zero value and is therefore to be freely and openly shared is incredibly naive. You can't expect any entity to actively work against their own self-interest, even less so when it's existential.As the author describes, even in the academic world, supposedly free of commercial pressure, there's no incentive or even an anti-incentive. People rather publish lots of papers. Doing things properly means less papers, so punishment.Like I said, incentives. The incentive for contributing to the semantic web is far below zero.

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efitz将近 3 年前

The answer to almost any question beginning with "why don't they" (or why didn't they), is almost always "money".Producing, aggregating, storing, or otherwise adding value to information costs money. Operating the internet costs money. Providing access to data costs money.People are lazy. Businesses on the internet have learned that they can extract more money from this vast pool of lazy people by presenting information rather than just providing information. By this, I mean that the value-add and/or lock-in of many internet businesses is tied to how the information is presented; adopting a standard format would be effort that would not be financially rewarded.(by "lazy", I mean "looking for local minima in effort to accomplish whatever task that they're trying to do")Finally, the web envisioned itself as a hypermedia system that incorporated presentation (and subsequently active content) instead of just semantic content. Since presentation is a property of the web, it was quickly adopted for the reasons described above and evolved into the modern web (which replaced the blink tag with shit tons of javascript, don't get me started).Therefore the "semantic web" could never exist because "semantics" is fundamentally incompatible with "web". Once you invent the web, you can't have the semantic web anymore because money.We shoulda stuck with gopher.

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Krisjohn将近 3 年前

SighWhen the phrase "The King is dead, long life the King" is used, the two kings are different people; the one that just passed and the one that replaced him. If the King is replaced by a Queen then the phrase is "The King is dead, long live the Queen". This is not some life after death thing. You aren't saying the King will live on in the hearts and minds of the people, you're stating your support for the successor.

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low_tech_punk将近 3 年前

The entire movement felt like a massive tragedy of the commons. There is just no incentive for any single player to push the standard forward and the commercial players are already reaping enough benefits from Web 2.0 that putting more money in Semantic Web makes no sense.Semantic Web was supposed to be the Web 3.0. It's so dead now that even its name is stolen by the blockchain. RIP.

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