Title
Recall oriented search on the web using semantic annotations
Abstract
Web search engines are optimized for early precision, which makes it difficult to perform recall oriented tasks with them. In this article, we propose several ways to leverage semantic annotations and, thereby, increase the efficiency of recall oriented search tasks, with a focus on forensic investigation. Semantic annotations, such as temporal annotations, named entities, and domain context, can be used to rerank, and cluster search result sets. In addition, domain context can be used to improve recall.
Year
DOI
Venue
2013
10.1145/2513204.2513219
ESAIR
Keywords
Field
DocType
forensic investigation,temporal annotation,domain context,cluster search result set,semantic annotation,early precision,search task,web search engine,informatics,clustering
World Wide Web,Search engine,Information retrieval,Semantic search,Computer science,Natural language processing,Artificial intelligence,Cluster analysis,Recall,Named-entity recognition
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
Rianne Kaptein112814.77
Egon L. van den Broek221031.00
Gijs Koot373.28
Mirjam A.A. Huis in 't Veld400.34