Our research focuses on Geographic Information Retrieval for
Indonesian documents. We constructed a Geographical Gazeeter
for geographic locations based on information that we collected
from the Geographic resources. We used the table to identify the
locations of events that are mentioned in the documents. We
added a location index associated with each document. We also
identified the possible locations based on words that indicate the
relative position to locations mentioned in the queries. The result
of our experiments showed that the location index and the
processing of words indicating relative positions improved the
retrieval performance of natural language queries. Applying the
query expansion techniques by adding keywords and locations
from the documents to the queries resulted in significant
performance improvement.