Does the IIIF protocol allows to get a list of available ID numbers of documents?
I know that it is possible to get a list of id numbers for pages by giving the ID of the document e.g.
https://glam.uni.wroc.pl/iiif/RKP_AKC_1967_2_6_1062/manifest
but is it possible to get similar information for the whole server with a list of IDs of individual documents e.g. RKP_AKC_1967_2_6_1062.
Related
I am using the venues/search API in my app and I am getting some strange results: https://developer.foursquare.com/docs/venues/search.
If I send in the query "1 Irving", as if a user is searching for an address, the list of results returned by Foursquare contains irrelevant venues. From looking at the documentation, I would guess that this is because the "query" parameter of the API is only searching against venue names, and not addresses.
If that is the case, does anyone know if there is any way to get the API to search against address information also? It seems the Foursquare and Swarm apps both do this when searching, as the results for "1 Irving" are much more relevant when I try there.
Edit: including screenshot from Foursquare app
In the venues/search documentation it mentions that if you set intent=match you can include an address parameter.
Finds venues that are are nearly-exact matches for the given
parameters. This intent is highly sensitive to the provided location.
We recommend using this intent only when trying to correlate an
existing place database with Foursquare's. The results will be sorted
best match first, taking distance and spelling mistakes/variations
into account.
query and ll are the only required parameters for this intent, but
matching also supports phone, address, city, state, zip, and twitter.
There's no specified format for these parameters—we do our best to
normalize them and drop them from the search if unsuccessful.
However you still need to provide a query parameter that would be the venue name. I don't believe an endpoint exists to lookup a venue with nothing but an address.
Just from taking a quick look at the docs, it seems like you can just pass the location in as the near object rather than the query object. The docs specifically say "A search term to be applied against venue names."
I know it is possible to list comments for a single video on youtbue but is it possible to find all comments on youtbue data api v3 that match a query?
For example if I search for "BMW" I find all comments on different videos with "BMW" in it. If it is not supported what would be a work around?
I am using python.
Comments: list Returns a list of comments that match the API
request parameters.
There is a filter parameter which will return the only certain comment ids, (why you would want to do this no idea)
id string The id parameter specifies a comma-separated list of
comment IDs for the resources that are being retrieved. In a comment
resource, the id property specifies the comment's ID.
For the Google methods that do allow you to do a string search (Which is what I think you are looking for) the parameter is normally q.
search.list has this option you can search for videos by text string, Google drive file.list also has it you can search for files that start with a name or type.
Answer: by checking the documentation we can see that it is not possible to find all comments on YouTube Data API v3 that match a string query.
I have created a list - LL (for linguistics list) - containing 2 members :
languagelog (http://languagelog.ldc.upenn.edu/nll/)
languagehat (http://languagehat.comBut i
The list, of course, works fine. But suppose I would like to :
exclude languagelog's tweets containing "chinese"
include languagehat's tweets only if they contain "russian"
I know how to do that with one search operator :
(from:language log -chinese) OR (from:languagehat russian)
but it seems it could be interesting to do that via lists, which would allow longer and more complex searches (it might even become a sort of substitute for yahoo pipes, although a very simple one).
Is it possible to include search operators in lists ?
Thanks in advance
This is the correct search query for the separate accounts:
(from:languagehat OR from:languagelog) lang:ru -lang:zh
If you'd like to do similar with a list:
create a Twitter list and add the accounts you need into it.
click on your list and copy the list ID from the browser's URL line the list ID.
in the query below, replace [list_id] with your copied list IDlist:[list_id] lang:ru -lang:zh
paste the query in Twitter's search box
Of course, as you suggested, you can build longer and more complex searches on that list.
Is it possible to get a list of all Wikipedia countries, regions and cities with relations between them? I couldn't find any API appropriate for this task.
What is be the easiest way to parse all the information I need?
PS: I know, that there are another datasources I can get this information from. But I am interested in Wikipedia...
[2020 update] this is now best done using the Wikidata Query Service, you can run super specific queries with a bit of SPARQL, example: Find all countries and their label. See Wikidata Query Help
It might be a bit tedious to get the whole graph but you can get most of the data from the experimental/non-official Wikidata Query API.
I suggest the following workflow:
Go to an instance of the kind of entities you want to work with, say Estonia (Q191) and look for its instance of (P31) properties, you will find: country, sovereign state, member of the UN, member of the EU, etc.
Use the Wikidata Query API claim command to output every entity
that as the chosen P31 property. Lets try with country (Q6256):
http://wdq.wmflabs.org/api?q=claim[31:6256]
It outputs an array of numeric ids: that's your countries! (notice that the result is still incomplete as there are only 141 items found: either countries are missing from Wikidata, or, as suggested by Nemo in comments, some countries are to be found in country (Q6256) subclasses(P279))
You may want more than ids though, so you can ask Wikidata Official API for entities data:
https://www.wikidata.org/w/api.php?action=wbgetentities&ids=Q16&format=json&props=labels|claims&languages=en|fr
(here Canada(Q16) data, in json, with only claims and labels data, in English and French. Look at the documentation to adapt parameters to your needs)
You can query multiple entities at a time, with a limit of 50, as follow:
https://www.wikidata.org/w/api.php?action=wbgetentities&ids=Q16|Q17|Q20|Q27|Q28|Q29|Q30|Q31|Q32|Q33|Q34|Q35|Q36|Q37|Q38|Q39|Q40|Q41|Q43|Q45|Q77|Q79|Q96|Q114&format=json&props=labels|claims&languages=en|fr
From every countries data, you could look for entities registered as administrative subdivisions (P150) and repeat on those new entities.
Aternatively, you can get all the tree of administrative subdivisions with the tree command. For instance, for France(Q142) that would be http://wdq.wmflabs.org/api?q=tree[142][150] Tadaaa, 36994 items! But that's way harder to refine given the different kinds of subdivision you can encounter from a country to another. And avoid doing this kind of query from a browser, it might crash.
You now just have to find cities by countries by refining this last query with the claim command, and the appropriate sub-class(P279) of municipality(Q15284) entity (all available here): for France, that's commune (Q484170), so your request looks like
http://wdq.wmflabs.org/api?q=tree[142][150] AND claim[31:484170]
then repeat for all the countries: have fun!
You should go with Wikidata and/or dbpedia.
Personally I'd start with Wikidata as it's directly using MediaWiki, with the same API so you can use similar code. I would use pywikibot to get started. Like that you can still request pages from Wikipedia where that makes sense (e.g. list pages or categories).
Here's a nice overview of ways to access Wikidata
What is the API call for finding a particular orgUnit ID for a particular course? I am trying to pull grades and a class list from API but I can not do it without the orgUnitID
There's potentially a few ways to go about this, depending on the kind of use-case you're in. Firstly, you can traverse the organizational structure to find the details of the course offering you're looking for. Start from the organization's node (the root org) and use the route to retrieve an org's descendants to work your way down: you'll want to restrict this call to only course-offering type nodes (org unit type ID '3' by default). This process will almost certainly require fetching a large amount of data, and then parsing through it.
If you know the course offering's Code (the unique identifier your organization uses to define course offerings), or the name, then you can likely find the offering in the list of descendants by matching against those values.
You can also make this search at a smaller scope in a number of ways:
If you already know the Org Unit ID for a node in the structure that's related to the course offering (for example, the Department or Semester that's a parent of the course offering), you can start your search from that node and you'll have a lot fewer nodes to parse through.
If your calling user context (or a user context that you know, and can authenticate as) is enrolled in the course offering, or in a known parent org (like a Department), then you can fetch the list of all that user's enrollments, and parse through those to find the single course offering you're looking for. (Note that this enrollments route sends back data as a paged result set, and not as a simple JSON array, so you may have to make several calls to work your way through a number of data pages before finding the one you want.)
In all these scenarios, the process will end up with you retrieving a JSON structure that will contain the Org Unit ID which you can then persist and use directly later.