On 3/23/11 10:06 AM, wenlei zhou wrote:
Thank you very much!
Today, I have read the book which is publish in http://linkeddatabook.com/editions/1.0/#note119. In section 4.5.2, I find several tips.
When link a dataset to other datasets, there are two different situation:

To little size dataset, the publisher can use several different type of predictors to connect to the entities which are declared in other datasets. While to large size dataset, record linkage techniques can be used to find the SameAs entities in other datasets automatically.

Regards




On 23 March 2011 21:50, Bill Roberts <[email protected] <mailto:[email protected]>> wrote:

    Although this has led to a discussion, no-one as far as I can tell
    has actually tried to answer Wenlei Zhou's question.

    Hope this helps:

    I can create a link from my dataset to yours just by including a
    triple in my dataset with one of 'your' URIs as object.

    <http://mysite.com/id/1> <http://example.com/some-predicate>
    <http://yoursite.com/id/ABC>

    You can also declare information about links between datasets in
    metadata about your dataset, using the voiD ontology - see
    http://vocab.deri.ie/void

    If you are thinking about the Linked Data Cloud diagram (see
    http://richard.cyganiak.de/2007/10/lod/) then that is generated
    every few months by Richard Cyganiak and Anja Jentzch, using some
    criteria listed on that web page - the dataset must be at least
    1000 triples and contain at least 50 links to other datasets
    already in the diagram - and you have to make  sure Richard or
    Anja knows about it.

    Regards

    Bill


    On 22 Mar 2011, at 14:58, wenlei zhou wrote:

    > Hi, every one
    > I'm a novice to Linked Data. In the learning of linked data, I
    got several questions.
    >
    > 1. When public a new data set, how does it connect to other data
    sets in the Linked Data Cloud. Just use the record linkage
    techniques to connect two identifiers which are actually telling
    the same entity? Or, is this method only applied to publishing
    large new data set, not small one?
    > 2. Where is the rdf data stored, which connects two data sets?
     Is it just stored in a third party?
    >
    > Can anyone tell me the answers?
    > Thank you very much!!
    >
    > regards,
    > Zhou Wenlei


Zhou,

Example.

Given an Entity: 'Nigeria' (type: Country). Described across a number of Linked Datasets. How would you obtain a holistic view of said Entity.

Links:

1. http://lod.openlinksw.com/describe/?uri=http%3A%2F%2Faims.fao.org%2Faos%2Fgeopolitical.owl%23Nigeria&sas=yes -- description of 'Nigeria' with owl:sameAs inference context enabled

2. http://lod.openlinksw.com/fct/rdfdesc/usage.vsp?g=http%3A%2F%2Faims.fao.org%2Faos%2Fgeopolitical.owl%23Nigeria&tp=2&sas=yes -- leveraging host DBMS metadata re. determining source Named Graphs used in the description

3. http://lod.openlinksw.com/fct/rdfdesc/usage.vsp?g=http%3A%2F%2Faims.fao.org%2Faos%2Fgeopolitical.owl%23Nigeria&tp=3&sas=yes -- co-references list where clicking on each URI (while inference context is enabled) results in the same description (a union of all facts associated with the co-referent of all of the listed URIs)

4. http://lod.openlinksw.com/fct/rdfdesc/usage.vsp?g=http%3A%2F%2Faims.fao.org%2Faos%2Fgeopolitical.owl%23Nigeria&tp=3 -- same as above without inference context, so clicking on each URI will present a description scoped to that URI .


Trouble is, you can only go so far with datasets, you need a space where the data is managed in such a way that it can deliver the solution you seek via queries. In the example above I use the LOD Cloud Cache instance which has 15 Billion+ triples. I could have also derived the same answers, with some overhead of course, if I had the SPARQL query execute a follow-your-nose style crawl across all the original source data spaces.

This is a DBMS style problem, ultimately. The DBMS has to maintain metadata about the data under its management. Then leverage said metadata when answering these queries.


--

Regards,

Kingsley Idehen 
President&  CEO
OpenLink Software
Web: http://www.openlinksw.com
Weblog: http://www.openlinksw.com/blog/~kidehen
Twitter/Identi.ca: kidehen





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