Dawei Song's profile document
Description for Dawei Song
Dawei Song
Dawei Song
Dawei
Song
Senior Lecturer
My research interests include various theoretical and practical aspects of information retrieval (such as logical models, language models, high-dimensional indexing and dimensionality reduction, relevance feedback, query expansion), text mining, applied logic, and their applications in knowledge discovery and management.
In addition to text information retrieval, I have also been heavily involved in several projects/bids on multi-media retrieval.
The Open University account for Dawei Song
ds5656
Dawei Song's membership at KMi
Dawei Song's participation in Vague Query Responder
Vague Query Responder
Vague Query Responder
2006-02-01
Bookshop owners can outperform Amazon and Google when the queries are vague - so can our software
Although today's web search engines are very powerful, they still fail to provide intuitively relevant results for many types of queries, especially ones that are vaguely-formed in the user's own mind. We argue that associations between terms in a search query can reveal the underlying information needs in the users' mind and should be taken into account in search. Our initial experimental results on a corpus of 500 books from Amazon shows that our approach can find the right books for users given authentic vague queries, even in those cases where Google and Amazon's own book search fail.
Dawei Song's participation in Entity Relation Discovery and Semantic Search
Entity Relation Discovery and Semantic Search
Entity Relation Discovery and Semantic Search
Entity based semantic search and knowledge management
This project is funded in part by IBM through an IBM 2006 UIMA (Unstructured Information Management Framework) Innovation Award. It aims to develop novel and effective mechanisms to discover associations between automatically extracted named entities from text documents. The discovered associations can be used to support user's entity based semantic search and knowledge management.