Fuzzy Set Techniques in Information Retrieval

Kraft, Donald H.; Bordogna, Gloria; Pasi, Gabriella

doi:10.1007/978-1-4615-5243-7_9

Cited by 52 publications

(19 citation statements)

References 91 publications

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“…As future work we plan to extend the clustering system with fuzzy clustering techniques (following, e.g., Kraft, Bordogna, & Pasi, 1999;Torra, Miyamoto, & Lanau, 2005;Miyamoto, 2003) and then to extend the approach to explore and visualize video sequences. This corresponds to finding similarities between the sequences.…”

Section: Discussionmentioning

confidence: 99%

Image clustering for the exploration of video sequences

Torra

Lanau

Miyamoto

2006

J. Am. Soc. Inf. Sci.

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In this article we present a system for the exploration of video sequences. The system, GAMBAL for the Exploration of Video Sequences (GAMBAL-EVS), segments video sequences, extracting an image for each shot, and then clusters such images and presents them in a visualization system. The system allows the user to find similarities between images and to proceed through the video sequences to find the relevant ones.

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Section: Discussionmentioning

confidence: 99%

Image clustering for the exploration of video sequences

Torra

Lanau

Miyamoto

2006

J. Am. Soc. Inf. Sci.

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“…Each document is therefore considered as a fuzzy set of terms (e.g. [15,16]) by normalizing the weights between [0, 1]. A simple, parametrized, way to assess the possibility and the necessity degrees (resp.…”

Section: Background On Possibilistic Indexingmentioning

confidence: 99%

Rank-Ordering Documents According to Their Relevance in Information Retrieval Using Refinements of Ordered-Weighted Aggregations

Loiseau

Prade

2006

Lecture Notes in Computer Science

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Abstract. Classical information retrieval methods often lose valuable information when aggregating weights, which may diminish the discriminating power between documents. To cope with this problem, the paper presents an approach for ranking documents in IR, based on a vectorbased ordering technique already considered in fuzzy logic for multicriteria analysis purpose. Moreover, the proposed approach uses a possibilistic framework for evaluating queries to a document collection, which distinguishes between descriptors that are certainly relevant and those which are possibly relevant only. The proposal is evaluated on a standard collection that allows to compare the effectiveness of this approach with a classical one. The proposed method provides an improvement of the precision of the Mercure IR system.

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“…Fuzzy logic, genetic algorithms, rough sets and neural networks has been widely used to optimize retrieval processes (Kraft et al 1999;Yang and Korfhage 1993;Martín-Bautista et al 2002;Srinavasan et al 2001;Chen 1995).…”

Section: Introductionmentioning

confidence: 99%

User profiles and fuzzy logic for web retrieval issues

Martín-Bautista

Kraft

Vila

et al. 2002

Soft Computing - A Fusion of Foundations, Methodologies and App

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We present a study of the role of user profiles using fuzzy logic in web retrieval processes. Flexibility for user interaction and for adaptation in profile construction becomes an important issue. We focus our study on user profiles, including creation, modification, storage, clustering and interpretation. We also consider the role of fuzzy logic and other soft computing techniques to improve user profiles. Extended profiles contain additional information related to the user that can be used to personalize and customize the retrieval process as well as the web site. Web mining processes can be carried out by means of fuzzy clustering of these extended profiles and fuzzy rule construction. Fuzzy inference can be used in order to modify queries and extract knowledge from profiles with marketing purposes within a web framework. An architecture of a portal that could support web mining technology is also presented.

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Fuzzy Set Techniques in Information Retrieval

Cited by 52 publications

References 91 publications

Image clustering for the exploration of video sequences

Image clustering for the exploration of video sequences

Rank-Ordering Documents According to Their Relevance in Information Retrieval Using Refinements of Ordered-Weighted Aggregations

User profiles and fuzzy logic for web retrieval issues

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