This paper proposes a data structure to support the integration of business news and data in the knowledge warehouse using the Temporal Document Retrieval Model (TDRM). Temporal document retrieval takes into account the time context expressed as temporal phrases in the document content. The maintenance and scalability of the proposed data cluster is discussed. The results of temporal document retrieval experiments based on typical and ad-hoc time constraints, performed on a large corpus of business news are reported. The experiments showed that the instantaneous TDRM-based retrieval using the proposed cluster is possible with the currently available database technology and confirmed the highly constraining character of the temporal context.
Kalczynski, Pawel J.
"Time Dimension for Business News in the Knowledge Warehouse,"
Journal of International Technology and Information Management: Vol. 14
, Article 2.
Available at: https://scholarworks.lib.csusb.edu/jitim/vol14/iss3/2