commonsense / conceptnet5

Code for building ConceptNet from raw data.
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regarding extraction of data #16

Closed harshavardhangsv closed 11 years ago

harshavardhangsv commented 12 years ago

1.for my project I need to map the concept net relations to another. so I need all the relations that are possible in concept net. Is there any possible way to get them.

  1. I need to iterate through data using there relations to some depth. for now I am doing it using script(my own) on web api. It would be a great help if any one can tell me exactly how I can use json format data to make data extraction possible recursively to some depth.

ps: I am new to use this all data extraction thing.so please explain the concept in simple terms(if possible)

thank you for considering

rspeer commented 12 years ago

When you need to find out something about all of ConceptNet 5, my recommendation is to download the flat files at http://conceptnet5.media.mit.edu/downloads. You'll find all the edges in the flat-json version, as one JSON object per line. Or you can use the csv version. Whichever is easiest.

So you could for example scan through the edges and collect the set of all relations. Because the set is unbounded now, there will be some particularly uncommon ones in addition to the ones used millions of times.

On Wed, Sep 12, 2012 at 6:15 AM, harshavardhangsv notifications@github.comwrote:

1.for my project I need to map the concept net relations to another. so I need all the relations that are possible in concept net. Is there any possible way to get them.

  1. I need to iterate through data using there relations to some depth. for now I am doing it using script(my own) on web api. It would be a great help if any one can tell me exactly how I can use json format data to make data extraction possible recursively to some depth.

ps: I am new to use this all data extraction thing.so please explain the concept in simple terms(if possible)

thank you for considering

— Reply to this email directly or view it on GitHubhttps://github.com/commonsense/conceptnet5/issues/16.