Feature- and Query-Based Table of Contents Generation for XML Documents

Szlávik, Zoltán; Tombros, Anastasios; Lalmas, Mounia

doi:10.1007/978-3-540-71496-5_41

Cited by 10 publications

(16 citation statements)

References 10 publications

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“…the document containing, or the parent element of, a retrieved element). This led to the proposal of a table of a content shown in conjunction to the element being accessed [62] or the use of heatmap highlighting relevant elements within a retrieved document [36].…”

Section: Resultsmentioning

confidence: 99%

XML Information Retrieval

Lalmas¹

2009

Encyclopedia of Library and Information Sciences, Third Edition

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Nowadays, increasingly, documents are marked-up using XML, the format standard for structured documents. In contrast to HTML, which is mainly layoutoriented, XML follows the fundamental concept of separating the logical structure of a document from its layout. This document logical structure can be exploited to allow a focused access to documents, where the aim is to return the most relevant fragments within documents as answers to queries, instead of whole documents. This article describes approaches developed to query, represent, and rank XML fragments.

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Section: Resultsmentioning

confidence: 99%

XML Information Retrieval

Lalmas¹

2009

Encyclopedia of Library and Information Sciences, Third Edition

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“…Another approach in [33] makes use of the semantic structure and logical structure in XML documents on one hand, and their combination for representing and retrieving XML multimedia document content 4 on the other hand. The logical structure is exploited by a bayesian network incorporating element based language models for the retrieval of a mixture of text and image.…”

Section: Multimedia (Image) Retrieval In Semi Structured Documentsmentioning

confidence: 99%

Towards a structure-based multimedia retrieval model

Torjmen

Pinel-Sauvagnat

2008

Proceedings of the 1st ACM International Conference on Multimedia Information Retrieval

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In this paper, we are interested in multimedia XML document retrieval, whose aim is to find relevant document components (i.e XML elements) that focus on the user needs. We propose to represent multimedia elements using not only textual information, but also hierarchical structure. Indeed, an XML document can be represented as a tree, whose nodes correspond to XML elements. Thanks to this representation, an analogy between XML documents and ontologies can be established. Therefore, to quantify the participation degree of each node in the multimedia element representation, we propose two measures using the ontology hierarchy. Another part of our model consists of defining the best window of multimedia fragments to be returned to the user. Through the evaluation of our model on the INEX 2006 Multimedia Fragments Task, we show the importance of using the document structure in multimedia information retrieval.

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“…At least some of the subsections of a relevant section are also relevant as they make up the relevant content of the section. All the above elements are related, but their relevance 'levels' are different (Lalmas & Tombros, 2007), and the user should see elements in the context of one another to make an informed decision as to where to start reading a document, or where to go next if the first choice does not lead to the most relevant content. As research has showed, displaying the logical structure of the document, both when the whole document's content is found relevant or when only a relatively small element is returned, is something that XML retrieval system users appreciate (Kazai & Trotman, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Using text extraction methods as a basis, we proposed a ToC generation method in Szlávik, Tombros, and Lalmas (2007), where ToC-worthiness is determined by a score that is a linear combination of feature scores of the element. Scores are given based on element length, depth in the structure, and relevance to the query, and if the score is above a certain threshold the element's title or label is displayed in the document's ToC.…”

Section: Introductionmentioning

confidence: 99%