Combines data from DBS and Sigel on the basis of street address

- Uses street as _id for redirection
- Creates new identifier for index: isil or 'pseudo-isil' (DBS-...)
Counts data before and after enriching

- Uses street is as identifier
- Counts dbs entries with street
- Counts sigel entries with street
- Counts entries in enriched output
Change transformation to match context

- During transformation isil or DBS-inr is used as id
- Adjust Play web app to show example for new id
Use URI as ID for organisation

- URI consists of http://data.lobid.org/organisation/ and ISIL if
available or Pseudo ISIL (DBS-<INR>) for DBS entries that lack ISIL.
- For Elasticsearch indexing only the last bit of the URI is used
(ISIL or Pseudo ISIL)
Adjust transformation and context

- Remove DBS only fields "iso", "sbi", "text" and "leitung"
from transformation
- Remove second isPrimaryTopicOf from context
- Format context (tabs instead of spaces)
Transfer new transformation (based on street) from test to main
Revise tests to run with new transformation
Change document type for Elasticsearch indexing

- Rename type from "dbs" to "organisation"
- Revise code using the type
Use new type ('organisation' instead of 'dbs') in play web app
Revise code according to comments in pull request

- Simplify regex in morph-dbs.xml and morph-sigel.xml
- Rename CountDBS to CountDbs
- Add comments to test classes CountDbs, CountEnriched, CountSigel
Remove @SuppressWarnings from classes count classes

(CountDbs, CountSigel, CountEnriched)
Merge pull request #14 from SBRitter/transformation

Transformation of DBS and Sigel data based on street address