Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion through geographical feature types
Proceedings of the 4th ACM workshop on Geographical information retrieval
SKOS core: simple knowledge organisation for the web
DCMI '05 Proceedings of the 2005 international conference on Dublin Core and metadata applications: vocabularies in practice
Handling implicit geographic evidence for geographic ir
Proceedings of the 17th ACM conference on Information and knowledge management
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Every document has a geographical scope
Data & Knowledge Engineering
Modeling geographic, temporal, and proximity contexts for improving geotemporal search
Journal of the American Society for Information Science and Technology
| Hi-index | 0.00 |
Most geographic queries include references to entities (geographic and non-geographic). Grounding such entities is essential to properly understand the user's information need. As statistical-based query reformulation strategies work at term level, not entity level, they don't use the semantic information given by such entities, which is considerably relevant for the types of queries that should be handled by GIR systems. We motivate the need of a semantic-flavored query reformulation approach for geographic information retrieval systems and describe a GIR architecture where query reformulation focuses on i) grounding entities in the query, ii) selecting a reasoning strategy according to the user information need, and iii) generating a reformulated query containing answers and related entities for a more focused retrieval step. Reformulated queries obtain the answers by accessing a knowledge base.