The document discusses semantic query expansion (SQE) which aims to improve search results by applying semantic reasoning to expand queries with few results or narrow results with too many. The SQE algorithm first processes the user's query using a fulltext search engine. It then considers search history and semantic knowledge like WordNet to potentially expand the query by adding related terms. Results are reranked based on term frequency, inverse document frequency, and contextual weights from long, mid, and short-term contexts before being returned to the user.
Breaking the Kubernetes Kill Chain: Host Path Mount
SQE - Semantic Query Expansion
1. SQE – Semantic Query Expansion Digital Enterprise Research Institute National University of Ireland, Galway [email_address] jakub.demczuk @deri.org [email_address] [email_address]
2.
3.
4.
5.
6. SQE picture: Search: Java web Lucene Query Expansion (WordNet,Taxonomies,FOAF) Results (TF/IDF) Java(PL) Java (Island) 60 10 SSCF Bookmarks FOAFRealm Web(www) Spider’s web 50 20 Results History Friends
![SQE – Semantic Query Expansion Digital Enterprise Research Institute National University of Ireland, Galway [email_address] jakub.demczuk @deri.org [email_address] [email_address]](https://image.slidesharecdn.com/sqe-semantic-query-expansion2552/85/SQE-Semantic-Query-Expansion-1-320.jpg)
![Outline ,[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)