Inter and intra-document contexts applied in polyrepresentation for best match IR

Skov, Mette; Larsen, Birger; Ingwersen, Peter

doi:10.1016/j.ipm.2008.05.006

Cited by 25 publications

(16 citation statements)

References 17 publications

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“…One aspect, which we focus on in our work, is the polyrepresentation of documents. The results reported in [26,27] support the principle of polyrepresentation of documents and also show that assigning weights to different representations (higher weights for those with higher precision) can be crucial to gain better effectiveness, motivating the introduction of different representation weights into our framework through the "don't care" dimension. A second aspect of polyrepresentation considers the different representations of a user's information need, which includes among others the work task, the perceived information need, the experience, the domain knowledge and different query facets [11,12,5,6,14].…”

Section: Related Worksupporting

confidence: 53%

Supporting polyrepresentation in a quantum-inspired geometrical retrieval framework

Frommholz

Larsen

Piwowarski

et al. 2010

Proceedings of the Third Symposium on Information Interaction in Context

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The relevance of a document has many facets, going beyond the usual topical one, which have to be considered to satisfy a user's information need. Multiple representations of documents, like user-given reviews or the actual document content, can give evidence towards certain facets of relevance. In this respect polyrepresentation of documents, where such evidence is combined, is a crucial concept to estimate the relevance of a document. In this paper, we discuss how a geometrical retrieval framework inspired by quantum mechanics can be extended to support polyrepresentation. We show by example how different representations of a document can be modelled in a Hilbert space, similar to physical systems known from quantum mechanics. We further illustrate how these representations are combined by means of the tensor product to support polyrepresentation, and discuss the case that representations of documents are not independent from a user point of view. Besides giving a principled framework for polyrepresentation, the potential of this approach is to capture and formalise the complex interdependent relationships that the different representations can have between each other.

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Section: Related Worksupporting

confidence: 53%

Supporting polyrepresentation in a quantum-inspired geometrical retrieval framework

Frommholz

Larsen

Piwowarski

et al. 2010

Proceedings of the Third Symposium on Information Interaction in Context

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“…This Polyrepresentation continuum was further empirically tested by Larsen et al (2006), and also extended by the addition of a second di-mension to it, which represented query structure and modus [28]. Based on these extensions, Skov et al (2008) [49] investigated Polyrepresentation with focus on inter-and intradocument features, in the medical domain. Five functionally and/or cognitively different document representations were identified.…”

Section: Polyrepresentation In Irmentioning

confidence: 99%

A subjective logic formalisation of the principle of polyrepresentation for information needs

Lioma

Larsen

Schuetze

et al. 2010

Proceedings of the Third Symposium on Information Interaction in Context

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Interactive Information Retrieval refers to the branch of Information Retrieval that considers the retrieval process with respect to a wide range of contexts, which may affect the user's information seeking experience. The identification and representation of such contexts has been the object of the principle of Polyrepresentation, a theoretical framework for reasoning about different representations arising from interactive information retrieval in a given context. Although the principle of Polyrepresentation has received attention from many researchers, not much empirical work has been done based on it. One reason may be that it has not yet been formalised mathematically.In this paper we propose an up-to-date and flexible mathematical formalisation of the principle of Polyrepresentation for information needs. Specifically, we apply Subjective Logic to model different representations of information needs as beliefs marked by degrees of uncertainty. We combine such beliefs using different logical operators, and we discuss these combinations with respect to different retrieval scenarios and situations. A formal model is introduced and discussed, with illustrative applications to the modelling of information needs.

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“…Looking back on the applications of the principle of polyrepresentation we see its use in the form of data fusion or ranking influential factors [10] rather than in the domain of query expansion and term suggestion. In this study we sketched out a term suggestion module that not only recommends controlled vocabulary terms but also the names of topical-related authors.…”

Section: Discussionmentioning

confidence: 99%

Extending Term Suggestion with Author Names

Schaer

Mayr

Luke

2012

Theory and Practice of Digital Libraries

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Term suggestion or recommendation modules can help users to formulate their queries by mapping their personal vocabularies onto the specialized vocabulary of a digital library. While we examined actual user queries of the social sciences digital library Sowiport we could see that nearly one third of the users were explicitly looking for author names rather than terms. Common term recommenders neglect this fact. By picking up the idea of polyrepresentation we could show that in a standardized IR evaluation setting we can significantly increase the retrieval performances by adding topical-related author names to the query. This positive effect only appears when the query is additionally expanded with thesaurus terms. By just adding the author names to a query we often observe a query drift which results in worse results.Comment: 6 pages; to be published in Proceedings of Theory and Practice of Digital Libraries 2012 (TPDL 2012

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Inter and intra-document contexts applied in polyrepresentation for best match IR

Cited by 25 publications

References 17 publications

Supporting polyrepresentation in a quantum-inspired geometrical retrieval framework

Supporting polyrepresentation in a quantum-inspired geometrical retrieval framework

A subjective logic formalisation of the principle of polyrepresentation for information needs

Extending Term Suggestion with Author Names

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