Changes between Version 11 and Version 12 of SPARQLExtensions

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Timestamp:
01/19/10 16:27:36 (8 months ago)
Author:
jordi
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  • SPARQLExtensions

    v11 v12  
    99=== textlike === 
    1010 
    11 The predicate `http://openanzo.org/predicates/textlike` can be used within a SPARQL query to find literals that match a certain wildcard pattern. This is similar to and uses the same syntax as SQL's `%` operator. For example, the following query finds articles whose title contains the word `Anzo`: 
     11The predicate `http://openanzo.org/ontologies/2008/07/Anzo#textlike` can be used within a SPARQL query to find literals that match a certain wildcard pattern. This is similar to and uses the same syntax as SQL's `%` operator. For example, the following query finds articles whose title contains the word `Anzo`: 
    1212 
    1313{{{ 
     
    3333=== textmatch === 
    3434 
    35 The predicate `http://openanzo.org/predicates/textmatch` allows a SPARQL query access to Anzo's text-indexing capabilities. (@@ link to text-indexing docs needed) `textmatch` is similar to `textlike` in that it relates a literal value to a search string; however, `textmatch` uses specialized text indexes that allow a broader range of search options. Further, because `textmatch` is executed against a specialized text index that also contains 'nearby' subject and property data, queries using `textmatch` can often be executed without going to the underlying database at all. 
     35The predicate `http://openanzo.org/ontologies/2008/07/Anzo#textmatch` allows a SPARQL query access to Anzo's text-indexing capabilities. `textmatch` is similar to `textlike` in that it relates a literal value to a search string; however, `textmatch` uses specialized text indexes that allow a broader range of search options. Further, because `textmatch` is executed against a specialized text index that also contains 'nearby' subject and property data, queries using `textmatch` can often be executed without going to the underlying database at all. 
    3636 
    3737@@ example of more complex search using textmatch