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README
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BIOGRAPHICAL THESAURUS NRW
Created by Jakob Moellers
Institute for Geoinformatics, University of Muenster, Germany
Folder Structure
----------------
data/
unprocessed-nwbib.zip
Title data from NWBib.
processed-gnd.tar.gz
Converted persons ready for insertion.
Concept Group/
Lobid Extractor for downloading and inserting person data.
extractorScript.sh
Shell script that
1. reads the title-data
2. downloads persons from GND
3. uploads persons to triplestore
website/
Important files:
query.js: Includes all functionality to query triple store and handle response
build*Index.php: Build lucene index for full text search (this is not completed yet)
get*FromIndex.php: Returns IDs from the lucene index (this is also not included)
search_autocomplete: Code for the autocomplete-functions
*.json: Dumps of index
index_* folders: Folders that contain the generated lucene index
common.php: This provides the multi-language support for the page.
Obsolete:
Concept Maps/
Old folder with obsolete concept maps.
examples/
Some examples how to connect php to a triple store.
New Concept Mapf for stis:Person concept
----------------------------------------
This has to be added with the Sesame Workbench Add function to create gnd:Person and stis:Person.
@prefix stis: <http://localhost/default#>.
@prefix gnd: <http://d-nb.info/standards/elementset/gnd#>.
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>.
gnd:DifferentiatedPerson
rdfs:subClassOf gnd:Person .
gnd:UndifferentiatedPerson
rdfs:subClassOf gnd:Person .
gnd:Person
rdf:type owl:Class ;
rdfs:subClassOf stis:Person .
stis:Person
rdf:type owl:Class .
Ideas and future goals for the biographical thesaurus [to be extended!]
-----------------------------------------------------
-derive events from the data
-what influenced a person/writing process (which historic events etc.)?
-link historic maps to the person and the time and the place this person lived... cool idea :-)
-can you outsource the process of linking resources to the user? maybe the user could use a tool to annotate the resources... like the Wikipedia concept
-generate hypothesis from the data ("We assume that there was a person X in Münster at time YYYY") and present this to the user... maybe this is interesting for research/scientists of the domain (but: how to represent a hypothesis in RDF, what is a fact etc.)