Temporal reasoning based on semi-intervals
Artificial Intelligence
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Maintaining knowledge about temporal intervals
Communications of the ACM
On the representation of roles in object-oriented and conceptual modelling
Data & Knowledge Engineering
Towards a standard upper ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Temporal Semantic Assumptions and Their Use in Databases
IEEE Transactions on Knowledge and Data Engineering
Big Posets of Participatings and Thematic Roles
ICCS '96 Proceedings of the 4th International Conference on Conceptual Structures: Knowledge Representation as Interlingua
ICCS '96 Proceedings of the 4th International Conference on Conceptual Structures: Knowledge Representation as Interlingua
A Template-Based Approach Toward Acquisition of Logical Sentences
Proceedings of the IFIP 17th World Computer Congress - TC12 Stream on Intelligent Information Processing
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
An Algebra for Semantic Interoperability of Information Sources
BIBE '01 Proceedings of the 2nd IEEE International Symposium on Bioinformatics and Bioengineering
A theory of time and temporal incidence based on instants and periods
TIME '96 Proceedings of the 3rd Workshop on Temporal Representation and Reasoning (TIME'96)
A temporal description logic for reasoning about actions and plans
Journal of Artificial Intelligence Research
Representation and reasoning about changing semantics in heterogeneous data sources
SWDB'04 Proceedings of the Second international conference on Semantic Web and Databases
| Hi-index | 0.00 |
Because it is difficult to engineer a complex ontology with time, we here consider a method that allows for factorizing the complexity of the engineering process, FONTE (Factorizing ONTology Engineering complexity). FONTE divides the engineering task into building a time-less domain ontology and a temporal theory independently from each other. FONTE provides an operator ⊗ that assembles the two independently developed ontologies into the targeted ontology. We investigate the quality of the proposed operator ⊗ by applying it to a practical case study, viz. the engineering of an ontology about researchers including temporal interactions.