Using context information in structured document retrieval: an approach based on influence diagrams

Campos, Luis M. de; Fernández‐Luna, Juan M.; Huete, Juan F.

doi:10.1016/j.ipm.2004.04.014

Cited by 25 publications

(38 citation statements)

References 6 publications

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“…This system is based on the Context-based Influence Diagram model (CID model) [13], which is supported by Influence Diagrams and Bayesian networks [14,15]. These are probabilistic graphical models specially designed for decision problems in uncertain environments.…”

Section: The Search Engine: Garnatamentioning

confidence: 99%

Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System

Campos

Fernández‐Luna

Huete

et al. 2009

Flexible Query Answering Systems

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Abstract. Relevance Feedback (RF) is a technique allowing to enrich an initial query according to the user feedback in order to get results closer to the user's information need. This paper presents a new RF method for keyword queries (content queries). It is based on the re-weighting of the original query terms plus the addition of new query terms from the content of elements jugded as relevant or non-relevant by the user. This RF method is integrated in our search engine, Garnata, and evaluated with the INEX 2007 collection.

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Section: The Search Engine: Garnatamentioning

confidence: 99%

Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System

Campos

Fernández‐Luna

Huete

et al. 2009

Flexible Query Answering Systems

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“…In this section we shall describe these two models and how they are used to retrieve document components from a document collection through probabilistic inference (see [2,3] for more details). Alternative probabilistic graphical models for structured information retrieval can also be found in the literature [6,7,9].…”

Section: Probabilistic Graphical Models In the Garnata Systemmentioning

confidence: 99%

“…The computation of the unidimensional probabilities is based on the following formulas [2,3]: Figure 3 shows an algorithm that efficiently computes these probabilities, derived from eqs. (4) and (5), traversing only the nodes of the graph that require updating.…”

Section: Inference and Decision Makingmentioning

confidence: 99%

The Garnata Information Retrieval System at INEX’07

Campos

Fernández‐Luna

Huete

et al. 2008

Focused Access to XML Documents

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Abstract. This paper exposes the results of our participation at INEX'07 in the AdHoc track and the comparison of these results with respect to the ones obtained last year. Three runs were submitted to each of the Focused, Relevant In Context and Best In Context tasks, all of them obtained with Garnata, our Information Retrieval System for structured documents. As in the past year, we use a model based on Influence Diagrams, the CID model. The result of our participation has been better than the last year and we have reached an acceptable position in the ranking for the three tasks. In the paper we describe the model, the system and we show the differences between our systems at INEX'06 and INEX'07, which make possible to get a better performance.

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“…Other methods have been applied within the field of SDR, de Campos, Fernandez-Luna, and Huete (2004) set out the use of Bayesian networks and influence diagrams to form a retrieval model. They show that it is a novel way in which to identify and display SD components.…”

Section: Introductionmentioning

confidence: 99%

The reuse of machining knowledge to improve designer awareness through the configuration of knowledge libraries in PLM

Urwin

Young

2013

International Journal of Production Research

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Using context information in structured document retrieval: an approach based on influence diagrams

Cited by 25 publications

References 6 publications

Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System

Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System

The Garnata Information Retrieval System at INEX’07

The reuse of machining knowledge to improve designer awareness through the configuration of knowledge libraries in PLM

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