freebase | Ruby API for Freebase.com
kandi X-RAY | freebase Summary
kandi X-RAY | freebase Summary
Currently only reads are implemented. Contributions, API Suggestions, bug reports are welcome!. This code is ALPHA. The API will change, features will be added. It probably has a bug or two in it. Use it at your own peril.
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Top functions reviewed by kandi - BETA
- Create a new instance of a class
- Convert a result to a hash
- Dynamically check if the attributes exists .
- Reloads the database .
- Convert a value to a result
- = begin Function to load the root config file .
- Convert a result to a result string
- Get the id of the object
- Returns the length of the duration .
freebase Key Features
freebase Examples and Code Snippets
Community Discussions
Trending Discussions on freebase
QUESTION
Query 1
...ANSWER
Answered 2020-Nov-25 at 05:10You have a tie on the value you're ordering. Specifying distinct
is causing a different execution plan which orders the rows differently, though still ordering by the one column as requested, with another row as the first one to output. Add the output column to the order by
clause and you should see consustent results between the two queries.
QUESTION
import json
import re
from bs4 import BeautifulSoup
data = """
"""
soup = BeautifulSoup(data, "html.parser")
pattern = re.compile(r"window.Rent.data\s+=\s+(\{.*?\});\n")
script = soup.find("script", text=pattern)
print(script)
...ANSWER
Answered 2020-Aug-02 at 14:04In the find
give any attribute of script
as a filter.
QUESTION
pattern = '(ns:m\.[^ ]+ )|(ns:g\.[^ ]+ )'
query = "PREFIX ns: \nSELECT DISTINCT ?x\nWHERE {\nFILTER (?x != ns:m.0pz91)\nFILTER (!isLiteral(?x) OR lang(?x) = '' OR langMatches(lang(?x), 'en'))\nns:m.0pz91 ns:film.producer.film ?x .\n?x ns:film.film.genre ?c .\n?c ns:film.film_genre.films_in_this_genre ns:g.11b5lzm6b0 . \n}"
entities = re.findall(pattern, query)
...ANSWER
Answered 2019-Dec-25 at 17:09Your regex didn't work because of the \n
and because you are matching anything that is not a space
demo
You can refer to the explanation on the right side of the demo url.
Instead you can try
QUESTION
I got the concepts of distant supervision. As for my understanding, the creating training data process is like;
- Extract named entities from sentences
- Find two entities named "e1" and "e2" from each sentence.
- Search these two entities in knowledge base (freebase etc.) to find relationship between them
I got confused at this step. What if there is more than 1 relation between these two entities (e1 and e2) ? If so which relation should I select?
...ANSWER
Answered 2019-Dec-04 at 12:03It depends on the model you're training.
Are you learning a model for one kind of relationship and doing bootstrapping? Then only pay attention to that one relationship and drop the others from your DB.
Are you trying to learn a bunch of relationships? Then use the presence or absence of each as a feature in your model. This is how Universals Schemas work.
Here's an image of a feature matrix from the Universal Schema paper:
QUESTION
For example:
...ANSWER
Answered 2019-Nov-19 at 22:27This is similar to surrogate keys in relational database theory. Surrogate keys are not derived from the application data and thus carry no semantic meaning. This is opposed to natural keys that are derived from the application data.
The main advantage of surrogate keys is that if the application data changes, it will not require the reference to the data to change. In the case of natural keys if the application data changes, it will cause the reference to the data to change. Hence, all foreign keys will need to be updated accordingly.
In the semantic web any triples referring to tt0268252
will not need to be updated if we essentially want the label to change from say Movie
to Film
. If we used strings like http://awesome/movie
and it needs to change to film, we will need to change our IRI http://awesome/film
, which will go against the principles of the semantic web (that IRIs should not change). Or we will have to live with http://awesome/movie
with http://awesome/movie rdfs:label "Film"
. This could lead to even more confusion rather than opaque code.
As an aside, that is why some prefer using Persistent uniform resource locators that provide resilience when the underlying web resources change. In a similar way these "codes" provide resilience when the application data changes.
QUESTION
I am using the example from:
Get JSON data from external URL and display it in a div as plain text
To get information from a JSON with nested data but I am getting the result:
...ANSWER
Answered 2019-Sep-23 at 00:51You cannot print an object as text in JavaScript. However, you convert the object to string and append it to the DOM. Instead of result.innerText = data.queries
try result.innerText = JSON.stringify(data.queries)
. Do note the output string won't be formatted.
QUESTION
I have freebase dump in a distributed environment in Dgraph.
I also have 4.5 Million node addresses and want to iterate over the edges of those nodes.
I am using GraphQL. Can you point me in the right direction as to how I can (enumerate?) over the edges and reach the neighbor nodes?
Note: I don't know the edge types.
Is this relevant? http://graphql.org/learn/pagination/
...ANSWER
Answered 2017-Jul-27 at 04:48To get a list of predicates in GraphQL+-, you can use _predicate_
keyword. If you want to expand the predicates, you can use expand
function. Keyword _all_
can be especially useful for you.
Take a look at Expand Predicates section of Dgraph documentation for more details and examples.
QUESTION
I am thinking of how suitable knowledge graphs such as "Google Knowledge Graph", "WordNet", "Yago", or "FreeBase" is for representing facts including a preposition or adjective.
For example, "Obama has a daughter" can clearly be represented by node and link relations. "Obama" and "daughter" are nodes. "has a" is a link.
However, I can not find a way to represent a sentence with a preposition or adjective by googling by several keywords.
Suppose you have a fact that "Obama has a white dog in whitehouse", it seems impossible to be represented by graph structures. Obama's dog is white, bat not all dog is white. Also, Obama's dog is kept in whitehouse, but not all dog is.
My first question is whether knowledge graph can represent this kind of fact or not. My second question is how knowledge graph can do this, if the first answer is yes.
...ANSWER
Answered 2018-May-08 at 02:44You'd represent this is a series of facts. For example:
QUESTION
ANSWER
Answered 2018-Nov-06 at 22:55Here is one method:
QUESTION
ANSWER
Answered 2017-Nov-06 at 03:16The moral equivalent to rdfs:label in Freebase-speak is /type/object/name. It won't give you the "exact meaning" but at least its name.
If you want a more well rounded view of a particular object/topic, you probably want to take a holistic view of its name(s) (in various languages), its types, and its properties.
BTW, I'm pretty familiar with the Freebase data dumps and don't recognize freebase-FB2M.txt so I suspect that was produced by some third party, not the Freebase team.
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