Versioning a full-text information retrieval system
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Comparison of access methods for time-evolving data
ACM Computing Surveys (CSUR)
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Algorithms for Temporal Query Operators in XML Databases
EDBT '02 Proceedings of the Worshops XMLDM, MDDE, and YRWS on XML-Based Data Management and Multimedia Engineering-Revised Papers
Supporting temporal text-containment queries in temporal document databases
Data & Knowledge Engineering
ATEC '99 Proceedings of the annual conference on USENIX Annual Technical Conference
Indexing temporal XML documents
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Hybrid index structures for temporal-textual web search
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
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Support for temporal text-containment queries is of interest in a number of contexts. In previous papers we have presented two approaches to temporal text-indexing, the V2X and ITTX indexes. In this paper, we first present improvements to the previous techniques. We then perform a study of the space usage of the indexing approaches based on both analytical models and results from indexing temporal text collections. These results show for what kind of document collections the different techniques should be employed. The results also show that regarding space usage, the new ITTX/VIDPI technique proposed in this paper is in most cases superior to V2X, except in the case of patterns of high number of new documents relative to number of updated documents.