Structured data modeling for AI using Wikidata
Adoption of machine learning and artificial intelligence is critical for success in the era of rapid digital transformation, it’s even more important how institutions make structure data for driving insights. Nowadays all kind of industry is driven by data. Some 80% of all digital data is unstructured, Kesher said during a keynote at the AI Summit in San Francisco. The vast majority of data representing the digital universe, however, is and will remain unstructured. And although unstructured documents are widely used as key inputs and “systems” for core business activities. Structured, organized data is critical for accurate and dynamic adjustment of outputs in continuously changing environments. Unstructured data is, more or less, useless to analyze the current situation and make critical decisions. Data modeling is required to make structured data from unstructured data. Wikidata is the ultimate data modeling platform to make structured data for any kind of data. Wikidata is flexible enough to model various kinds of data sets using collaborative inputs. Through this introductory talk/workshop, I would like to introduce the process of data modelling for various kinds of items using Wikidata. Also how to get the structured data output from Wikidata using its Query service and APIs.
Free workshop attendees must register with Rs.200 as part of ASTHRA’19 registration at the entrance
Registration Fee will be collected at the venue.
1. The online registration becomes valid only when it is confirmed at the ASTHRA'19 registration desk.
2. Participants should have a confirmed ASTHRA ID for participating in any event, which will be provided from the registration desk once registration is complete.
3. Participants should have a valid college ID as well as a proof of identity for registering for ASTHRA'19.
4. Participants can also register at the Registration Desk, but it is advisable that you register online so that the registration process is hassle-free once you reach here.
5. Once registered, the participant can take part in any event or free lectures of ASTHRA'19
6. No accommodation will be provided.
7. Certificates will be given as digital copy
We wish you an enjoyable ASTHRA'19.