Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Measuring Search Engine Quality
Information Retrieval
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Twig query processing over graph-structured XML data
Proceedings of the 7th International Workshop on the Web and Databases: colocated with ACM SIGMOD/PODS 2004
Reference reconciliation in complex information spaces
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
SPIN: searching personal information networks
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Efficient LCA based keyword search in XML data
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Keyword search on external memory data graphs
Proceedings of the VLDB Endowment
Semantic email: theory and applications
Web Semantics: Science, Services and Agents on the World Wide Web
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With the storage space for emails increasing everyday, email systems are serving as a data repository for many users. It is important to offer intuitive and flexible search utilities to provide better access to the information in the emails, especially in an enterprise setting. In this paper, we present TESO, a tool for Email Searching using Organizational information. TESO seeks to improve the relevancy of email search by integrating data from email servers, and organizational information from directory services and other resources. TESO has been developed as an add-on for mozilla thunderbird. We have experimented using SQLLite as well as XML data to store the organizational information. Our studies also provide a solid test bed for existing algorithms for information integration and keyword search in relational databases and XML files.