Telos: representing knowledge about information systems
ACM Transactions on Information Systems (TOIS)
Later: Managing Temporal Information Efficiently
IEEE Expert: Intelligent Systems and Their Applications
Temporal Relationships in Databases
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
SQL+i: Adding Temporal Indeterminancy to the Database Language SQL
BNCOD 14 Proceedings of the 14th British National Conference on Databases: Advances in Databases
Efficient methods for qualitative spatial reasoning
Journal of Artificial Intelligence Research
Strabon: a semantic geospatial DBMS
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Consistency of Chordal RCC-8 Networks
ICTAI '12 Proceedings of the 2012 IEEE 24th International Conference on Tools with Artificial Intelligence - Volume 01
| Hi-index | 0.00 |
Incomplete information has been studied in-depth in relational databases and knowledge representation. It is also an important issue in Semantic Web frameworks such as RDF, description logics, and OWL 2. In [6], we introduced RDFi, an extension of RDF for representing incomplete information using constraints. We defined a semantics for RDFi and studied SPARQL query evaluation in this framework. Given the current interest in publishing geospatial datasets as linked data (e.g., by Ordnance Survey in the UK), RDFi is an excellent framework for encoding, possibly incomplete, qualitative and quantitative geospatial information which is found in these published datasets. RDFi is also interesting because when the constraint language used can express the topological relations of RCC-8 [8], the recent OGC standard GeoSPARQL [7] for querying geospatial information expressed in RDF, becomes a special case of RDFi.