• Publications
  • Influence
A probabilistic relational algebra for the integration of information retrieval and database systems
TLDR
We present a probabilistic relational algebra (PRA) which is a generalization of standard relational algebra which implements uncertainty and vagueness in combination with the relational model. Expand
XIRQL: a query language for information retrieval in XML documents
TLDR
Based on the document-centric view of XML, we present the query language XIRQL, which integrates ideas from logic-based probabilistic IR models, relevance-oriented search, datatypes with vague predicates, and semantic relativism. Expand
Probabilistic Models in Information Retrieval
  • N. Fuhr
  • Computer Science
  • Comput. J.
  • 1 June 1992
TLDR
In this paper, an introduction and survey over probabilistic information retrieval (IR) is given. Expand
A decision-theoretic approach to database selection in networked IR
  • N. Fuhr
  • Computer Science
  • TOIS
  • 1 July 1999
TLDR
In networked IR, a client submits a query to a broker, which is in contact with a large number of databases. Expand
Models for retrieval with probabilistic indexing
  • N. Fuhr
  • Computer Science
  • Inf. Process. Manag.
  • 1 February 1989
TLDR
Three retrieval models for probabilistic indexing are described along with evaluation results for each. Expand
A probability ranking principle for interactive information retrieval
  • N. Fuhr
  • Computer Science
  • Information Retrieval
  • 1 June 2008
TLDR
We develop a theoretical framework for extending probabilistic IR to interactive information retrieval (IIR). Expand
A probabilistic learning approach for document indexing
TLDR
We describe a method for probabilistic document indexing using relevance feedback data that has been collected from a set of queries that overcomes the restriction of limited relevance information for parameter estimation. Expand
Probabilistic Datalog—a logic for powerful retrieval methods
  • N. Fuhr
  • Computer Science
  • SIGIR '95
  • 1 July 1995
listic Datalog — a Logic for Powerful Retrieval Methods
Evaluation of digital libraries
TLDR
We propose a new framework for the evaluation of DLs, as well as for recording, describing and analyzing the related research field. Expand
Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002
TLDR
Information retrieval (IR) research has reached a point where it is appropriate to assess progress and to define a research agenda for the next five to ten years. Expand
...
1
2
3
4
5
...