A straightforward NF2 relational interface with applications in information retrieval

Niemi, Timo; Järvelin, Kalervo

doi:10.1016/0306-4573(95)80036-s

Cited by 7 publications

(11 citation statements)

References 16 publications

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“…Our idea is that the user describes, declaratively, only the relationships among the source and result data. In contemporary online retrieval systems often a very low-abstraction level step-by-step procedure is required, whereas in many advanced database systems the skill requirements on behalf of the user are too demanding [25]. The online dialogs relieve the users from the burden of using the query language at all.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore a mechanism for restructuring the hierarchical relationships among subdocuments into new result documents is needed [25], e.g., articles by domains.…”

Section: Articlesmentioning

confidence: 99%

“…Large nested expressions are usual in queries that combine data aggregation, transitive computation and data restructuring [25].…”

Section: The Query Interfacementioning

confidence: 99%

“…The user only has to express seven simple constructs in query formulation, when full aggregation, restructuring, transitive processing, sorting and retrieval capabilities are needed. The FUN interface has been described in earlier publications [13,15,25]. A query in the FUN interface is structured according to the following constructs:…”

Section: The Query Interfacementioning

confidence: 99%

“…However, this problem was removed by storing predefined and parameterized queries for use through simple online dialogs. The planning and execution process of the queries in the FUN interface is described generally in [14,25] and in detail in [41]. Among these, [14,41] cover the full expressive power involving both NF 2 relational and transitive processing.…”

Section: Informetrics Through Advanced Data Managementmentioning

confidence: 99%

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A user‐oriented interface for generalised informetric analysis based on applying advanced data modelling techniques

Järvelin

Ingwersen²,

Niemi³

2000

Journal of Documentation

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This article presents a novel user‐oriented interface for generalised informetric analysis and demonstrates how informetric calculations can easily and declaratively be specified through advanced data modelling techniques. The interface is declarative and at a high level. Therefore it is easy to use, flexible and extensible. It enables end users to perform basic informetric ad hoc calculations easily and often with much less effort than in contemporary online retrieval systems. It also provides several fruitful generalisations of typical informetric measurements like impact factors. These are based on substituting traditional foci of analysis, for instance journals, by other object types, such as authors, organisations or countries. In the interface, bibliographic data are modelled as complex objects (non‐first normal form relations) and terminological and citation networks involving transitive relationships are modelled as binary relations for deductive processing. The interface is flexible, because it makes it easy to switch focus between various object types for informetric calculations, e.g. from authors to institutions. Moreover, it is demonstrated that all informetric data can easily be broken down by criteria that foster advanced analysis, e.g. by years or content‐bearing attributes. Such modelling allows flexible data aggregation along many dimensions. These salient features emerge from the query interface‘s general data restructuring and aggregation capabilities combined with transitive processing capabilities. The features are illustrated by means of sample queries and results in the article.

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Section: Discussionmentioning

confidence: 99%

“…Therefore a mechanism for restructuring the hierarchical relationships among subdocuments into new result documents is needed [25], e.g., articles by domains.…”

Section: Articlesmentioning

confidence: 99%

“…Large nested expressions are usual in queries that combine data aggregation, transitive computation and data restructuring [25].…”

Section: The Query Interfacementioning

confidence: 99%

Section: The Query Interfacementioning

confidence: 99%

Section: Informetrics Through Advanced Data Managementmentioning

confidence: 99%

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A user‐oriented interface for generalised informetric analysis based on applying advanced data modelling techniques

Järvelin

Ingwersen²,

Niemi³

2000

Journal of Documentation

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Integrating structured data and text: A relational approach

Grossman

Frieder

Holmes³

et al. 1997

J. Am. Soc. Inf. Sci.

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We integrate structured data and text using the unchanged, standard relational model. We started with the premise that a relational system could be used to implement an information retrieval (IR) system. After implementing a prototype to verify that premise, we then began to investigate the performance of a parallel relational database system for this application. We also tested the effect of query reduction on accuracy and found that queries can be reduced prior to their implementation without incurring a significant loss in precision/recall. This reduction also serves to improve run‐time performance. After comparing our results to a special purpose IR system, we conclude that the relational model offers scalable performance and includes the ability to integrate structured data and text in a portable fashion. © 1997 John Wiley & Sons, Inc.

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Modelling retrieval models in a probabilistic relational algebra with a new operator: the relational Bayes

Roelleke

Wang

et al. 2007

The VLDB Journal

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A straightforward NF2 relational interface with applications in information retrieval

Cited by 7 publications

References 16 publications

A user‐oriented interface for generalised informetric analysis based on applying advanced data modelling techniques

A user‐oriented interface for generalised informetric analysis based on applying advanced data modelling techniques

Integrating structured data and text: A relational approach

Modelling retrieval models in a probabilistic relational algebra with a new operator: the relational Bayes

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