I have started a reddit community to discuss ideas for killer apps that make use of ontologies, particularly those that are formalized in some form of description logics. If you are interested in this kind of thing, please visit and make a comment!
Hello everyone! Please if anyone here knows anything about Rule Interchange Format (RIF) in semantic web and where can get more informations about this topic? Thanks in advance.
Join the stream now at https://youtube.com/watch?v=dQopI3QZP4A (6PM UTC, 1PM ET)
This week we have Marko Marinkovic, full-stack JavaScript developer at localsearch.ch with 15 years in the industry, giving the lightning talk Exploring alternative web workflows:
>This talks introduces a series of lectures on “Exploring alternative web workflows”, covering a prototyping mindset, the rise of Semantic Web and some results from a decade of research work in this field.
Our full-length talk is How do I manage my personal and family life wellbeing for maximum productivity from Vikram Ingleshwar:
>Vikram has been into IT for the last 2 decades which has taught him loads of valuable lessons both at personal and professional front. In this talk he shares his experiences about balancing them both without getting burnt out and running around with your hair on fire or like a headless chicken!
Check out the full schedule on the main site!: https://redditweb.dev/schedule
Hello guys, I am new to this field. And, I want to know if there's updates for the semantic web.
A Huawei research team proposes a topic-based personalized ranking model (TPRM) that integrates pretrained contextualized term representations and user profiles constructed by a topic model to tailor the output ranking list.
Here is a quick read: Huawei Proposes Topic-Based Personalized Web Search Ranking, Integrating User Interests and Semantic Matching.
The paper TPRM: A Topic-based Personalized Ranking Model for Web Search is on arXiv.
Is it worth putting into the time to make all CSS custom, or is it fine working with CSS packages?
As stated in the question, I'm curious about what are the different "jobs" out there for people learning web semantic It would be great if you could describe your :
- Job title
- Job description / responsibilities
- industry vs research Any other information that gives a better understanding of who are the web semantics professionals and what do they do.
From what I know, certifications mean a great deal in a lot of technology areas (eg : networks) and are mostly garbage in other areas (eg: web dev) what about the semantic web world? If your answer is they are worth it please link to some interesting ones or better tell us your story with these certifications
I am interested in semantic web, or Web 3.0 and its possible applications. Now, I am trying to build understanding on what that is and what benefits it brings.
As I see it, Web3.0 is an evolutionary step toward better interconnectivity. Every time, when somebody or something gets linked, new synergic opportunities evolve. Things linked are better than things isolated. Connectivity drives progress.
In the human history, when languages developed, people get linked for building more complicated society structure and for passing info and wisdom. The Tower of Babel story tells for itself: when we get disconnected, ambitious project failed.
Linked people exchange info and knowledge in a more efficient way and invent new things faster. I guess this is how technical progress started. Soon, we invented machines, then computers. These computers got linked in networks. Then markup language enabled us to link documents stored on these computers. This triggered an explosive growth of internet, Web 1.0 thirty years ago. Interconnectivity of files stored on computers made it happen.
Then apps and services evolved: Google, Facebook, Amazon etc. Massive growth continued to building Web 2.0 of apps. So, we started with linked computers, then linked their files. Now, it is probably time to get data linked, right?
We probably get used to how thing are right now, but data is not that well connected in current Web 2.0. We get documents linked, databases linked, but then we need to read it, combine them, build joints between them, analyse and process in order to get an insights.
It’s knowledge and insights we are after, right? Not documents per se. We are after answers to questions like “how many people diagnosed with type II diabetes within last 2 years, moved from rural areas to major cities with last 5 years, have haplogroup ZYX, and positively responded to treatment by medicine ABC". That will be a Web 3.0 capability enabling answers to such questions.
We cannot get answers to such questions now because the data needed for this is dispersed and isolated in different documents, if ever available at all. And even if such documents were linked or pulled into a database, databases are rigid and will need reshuffling and joints to built the moment new set of data arrives.
By that, knowledge still stays hidden in documents and database silos and disconnected. My vision for the Web 3.0 is that semantic web enables us to extract knowledge and link
Join the stream now at https://youtube.com/watch?v=dQopI3QZP4A (6PM UTC, 1PM ET)
This week we have Marko Marinkovic, full-stack JavaScript developer at localsearch.ch with 15 years in the industry, giving the lightning talk Exploring alternative web workflows:
>This talks introduces a series of lectures on “Exploring alternative web workflows”, covering a prototyping mindset, the rise of Semantic Web and some results from a decade of research work in this field.
Our full-length talk is How do I manage my personal and family life wellbeing for maximum productivity from Vikram Ingleshwar:
>Vikram has been into IT for the last 2 decades which has taught him loads of valuable lessons both at personal and professional front. In this talk he shares his experiences about balancing them both without getting burnt out and running around with your hair on fire or like a headless chicken!
Check out the full schedule on the main site!: https://redditweb.dev/schedule
A Huawei research team proposes a topic-based personalized ranking model (TPRM) that integrates pretrained contextualized term representations and user profiles constructed by a topic model to tailor the output ranking list.
Here is a quick read: Huawei Proposes Topic-Based Personalized Web Search Ranking, Integrating User Interests and Semantic Matching.
The paper TPRM: A Topic-based Personalized Ranking Model for Web Search is on arXiv.
A Huawei research team proposes a topic-based personalized ranking model (TPRM) that integrates pretrained contextualized term representations and user profiles constructed by a topic model to tailor the output ranking list.
Here is a quick read: Huawei Proposes Topic-Based Personalized Web Search Ranking, Integrating User Interests and Semantic Matching.
The paper TPRM: A Topic-based Personalized Ranking Model for Web Search is on arXiv.
