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UPDATE: April 2014 regarding freebase availability on the discussion list.
UPDATE: October 2013
As some of you have noticed, reconciliation against Freebase, one of Refine's most awesome (among many awesome) features, has gone to hell in a handbasket recently. (In other words, it no longer works).
We weren't really counting on having to transition on a moment's notice, but Tom Morris has patched together an *experimental* service which will hopefully help bridge the gap.
The new service is at: http://reconcile.freebaseapps.com/reconcile
You should be able to add it as a standard reconciliation service in either Google Refine 2.5 or OpenRefine (soon to be) 2.6 (aka the current development version)..
The new service is intended to be API compatible with the old service, but it doesn't use any of the old Freebase APIs with their consequent performance issues. It should be 10x (at least!) faster.
Having said that, it's not without issues. Tom coded it up in a hurry to bridge the gap. It's untested. It's got some known issues.
- IN PARTICULAR*, it has a hard filter on the type that you're reconciling against. There's a fix in the pipe for this, but in the mean time, if you're not sure that all of your candidates are, say, /people/person you should instead reconcile against /common/topic.
On the plus side, our previous warnings about not including additional columns in your reconciliation no long apply. If you want to include the person's birth date, death date, whatever, ..., you won't get vectored off to the land of the 18 month stale indexes.
Reconciliation is a semi-automated process of matching text names to database IDs (keys). This is semi-automated because in some cases, machine alone is not sufficient and human judgement is essential. For example, given "Ocean's Eleven" as the name of a film, should it be matched to
- the original 1960 "Ocean's Eleven" (Freebase entry), or
- the 2001 remake "Ocean's Eleven" starring George Clooney (Freebase entry)?
While we talk about "databases" here, perhaps a more accurate term would be "name registries". And conceptually, "reconciliation" isn't a new concept. In some fields, it's being done all the time. For example, when the police gets a name of a suspect, they run the name through their databases of known felons. More details about the suspect (e.g., race, height, last known address) would help the police narrow down the suspect among several database matches.
You can use OpenRefine to perform reconciliation of names in your data against any database that exposes a web service following this Reconciliation Service API specification. One such database is Freebase, and in this document we will use it as our example service.
For a column containing names, to reconcile those names against Freebase, invoke the column's drop-down menu and pick Reconcile > Start reconciling... If you want to reconcile only some cells in that column, then use filters and facets to isolate them first.
In the Reconcile dialog box, pick Freebase Reconciliation Service on the left. That service comes by default, but you can install more services. Using that service, OpenRefine will try to determine the type of names we're dealing with. When it's done, it will show you a list of types. Pick the best type in your opinion and click Start Reconcile at the bottom.
This process will take a while depending on how much data you have. For now, we would recommend reconciling only a few hundred cells at a time. In the future, perhaps we can afford reconciliation services with greater capacity.
When the process is done, you will see that the reconciled cells display either a single link or 3 candidates with a recon score in parentheses.
San Francisco, CA (.95)
Cells with links have been automatically matched, and you don't have to process them manually. Cells with candidates have not been matched yet, and you will have to process them yourself, either individually or in bulk depending on the nature of your data.
In addition to changing the ways the reconciled cells are displayed, OpenRefine also automatically creates two facets for you to use to filter the cells based on the reconciliation data. One is a numeric facet for the reconciliation scores of the best candidates of the cells. Higher scores mean better matches. You could filter for the higher scores, and approve them all in bulk (invoking that column's drop-down menu and using the Reconcile > Actions submenu).
There is also the "judgment" facet, which lets you filter for the cells that haven't been matched (pick "None" in the facet). As you process each cell, its judgment changes from "None" to "Matched" and it disappears from the view, because it no longer fits the facet's selection.
Reconciliation is a delicate process, hard to describe here. We will provide some tutorial videos in the near future. For now, if you need help, please email the mailing list or get on IRC and ask us questions.
As a degenerate form of "reconciliation", you can get a column of database IDs to be "reconciled". It's "degenerate" because the process isn't ambiguous since you already have IDs. The process of "reconciliation" here only involves fetching more data for those IDs (such as the official names corresponding to those IDs).
Right now OpenRefine only supports this kind of "query-based reconciliation" against Freebase. In the Reconcile dialog box, pick Freebase Query-based Reconciliation on the left. Your data can contain Freebase IDs, GUIDs, Wikipedia IDs, or keys in certain namespaces. For example, if you have country 2-letter ISO codes, you can reconcile against the namespace ISO 3166-1.
Note that you might have to encode your data into property Freebase keys before performing query-based reconciliation. Use the mqlKeyQuote() function documented GREL-String-Functions.
Keep all the suggestions made
To keep all suggestion made by the reconciliation service and not match against the best one:
- Before starting reconciliation un-check option Auto-match candidates with high confidence in Reconcile dialog (it's at the bottom).
- After reconciliation you should be able to see all three suggested reconciliation candidates. This step is optional - it is just for you to see what will be extracted.
- After reconciliation click on the reconciled column and choose Add column based on this column.
- Put following expression in the Expression field if you want the value: cell.recon.candidates.name
- if you want link to Freebase - usually it is Freebase mid: cell.recon.candidates.id
- To get all off the IDs at the same time use the expression: cell.recon.candidates.join(',') , which will give you a comma separated list of all the IDs. Then use the command "Split multi-valued cells" to split the identifiers into individual rows.
- If you then use reconcile against Freebase using the Freebase identifier option, you'll get the names and links that all you to use "Add column from Freebase" to get any other property values which are of interest.