The Wisdom of Crowds
Determining the user intent of web search engine queries
Proceedings of the 16th international conference on World Wide Web
Extracting semantic relations from query logs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Computer
Ranking very many typed entities on wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Learning to Tag and Tagging to Learn: A Case Study on Wikipedia
IEEE Intelligent Systems
Information extraction challenges in managing unstructured data
ACM SIGMOD Record
Efficient Information Extraction over Evolving Text Data
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
The intention behind web queries
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
Chapter 2: next generation web search
Search Computing
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We present a pragmatic approach to search the Web of Objects, that is, aWeb where entities such as people or places are recognized and exploited.We outline a search architecture where information extraction and semantic technologies play key roles. This architecture has to cope with incompleteness as well as noise to expand the capabilities of current search engines. The main open problems for research are related with recognizing the entities in the query and ranking objects. We show some of these ideas through features or demos already available.