Generalized contextualization method for XML information retrieval

Arvola, Paavo; Junkkari, Marko; Kekäläinen, Jaana

doi:10.1145/1099554.1099561

Cited by 27 publications

(33 citation statements)

References 11 publications

(13 reference statements)

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“…Until recently, the importance of contextualization (based on hierarchical relationships of element) has been studied in several settings [1,2,4,19,22,23,25]. Even in a schemaagnostic environment, it has been found that by contextualizing the scores of the surrounding components, such as, parents, ancestors or siblings in the scoring function of the element itself, the overall precision and recall of the focused retrieval system improves [4].…”

Section: Introductionmentioning

confidence: 99%

Contextualization using hyperlinks and internal hierarchical structure of Wikipedia documents

Norozi

Arvola

Vries

2012

Proceedings of the 21st ACM International Conference on Information and Knowledge Management

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Context surrounding hyperlinked semi-structured documents, externally in the form of citations and internally in the form of hierarchical structure, contains a wealth of useful but implicit evidence about a document's relevance. These rich sources of information should be exploited as contextual evidence. This paper proposes various methods of accumulating evidence from the context, and measures the effect of contextual evidence on retrieval effectiveness for document and focused retrieval of hyperlinked semi-structured documents.We propose a re-weighting model to contextualize (a) evidence from citations in a query-independent and querydependent fashion (based on Markovian random walks) and (b) evidence accumulated from the internal tree structure of documents. The in-links and out-links of a node in the citation graph are used as external context, while the internal document structure provides internal, within-document context. We hypothesize that documents in a good context (having strong contextual evidence) should be good candidates to be relevant to the posed query, and vice versa.We tested several variants of contextualization and verified notable improvements in comparison with the baseline system and gold standards in the retrieval of full documents and focused elements.

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Section: Introductionmentioning

confidence: 99%

Contextualization using hyperlinks and internal hierarchical structure of Wikipedia documents

Norozi

Arvola

Vries

2012

Proceedings of the 21st ACM International Conference on Information and Knowledge Management

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“…[Arvola et al, 2005a] and [Arvola et al, 2005b] introduce a new re-weighting method called Contextualization. In this model, the ancestors of an element are considered to be its context.…”

Section: Resultsmentioning

confidence: 99%

“…In [Arvola et al, 2005a], the weighting scheme is based on the probabilistic retrieval framework BM25 [Robertson et al, 1992]:…”

Section: Introductionmentioning

confidence: 99%

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Theoretical evaluation of XML retrieval

Blanke

2012

SIGIR Forum

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This thesis has developed a theoretical framework to evaluate XML retrieval. XML retrieval deals with retrieving those document parts that specifically answer a query. It is concerned with using the document structure to improve the retrieval of information from documents by only delivering those parts of a document an information need is about. We define a theoretical evaluation methodology based on the idea of 'aboutness' and apply it to XML retrieval models. Situation Theory is used to express the aboutness proprieties of XML retrieval models. We propose a Situation Theory framework to evaluate XML retrieval, which is based on the basic and most general information retrieval question how a document (or in our case an XML element) can be about a query. This framework allows us to compare and analyze the reasoning behaviour of XML retrieval models experimented within INEX evaluation campaigns. We develop a dedicated methodology for the evaluation of XML retrieval and apply this methodology to five XML retrieval models from INEX. For each model we derive functional and qualitative properties that qualify its formal behaviour. We compare this behaviour with the underlying flat document retrieval model as well as with a model we specially design to determine how much an XML retrieval model includes XML structure in its reasoning behaviour. More INEX specific, this thesis further investigates the use of our theoretical evaluation methodology to describe the INEX evaluation methodology. We exemplify theoretical models of user agents and assessment procedures in INEX and derive reasoning assumptions that are included in the specific XML retrieval experimental evaluation, its scales and the ways assessments are done. We point to potential inconsistencies and make suggestions for alternative views on the experimental evaluation dimensions for XML retrieval. Further INEX specifics are discussed when we theoretically analyse filters, as they are used in INEX to deliver only specific answers to an information need. We introduce our theoretical methodology to analyse filters as special aboutness decisions, before applying it to the XML retrieval filtering models. We finally use the theoretical properties of XML retrieval models and their filters to explain experimental results obtained with some of the XML retrieval models within INEX and draw upon all our previous results to demonstrate how theoretical evaluation insights can be used to explain results from mainstream experimental evaluations. We relate our theoretical evaluation results with the experimental ones for XML retrieval to find out how the adjustment of existing flat document retrieval models compares to the creation of completely new ones, especially designed to meet the requirements of XML retrieval. For each of the XML retrieval experimental evaluation tasks, we shall determine the reasoning properties that support a good performance and discuss on this basis the experimental performance of the XML retrieval models. An updated version of the thesis will appear with IOS-Press: Tobias Blanke, Using Situation Theory to evaluate XML Retrieval, IOS-Press: Amsterdam, 2012.

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“…For instance, the parent/child navigation step "/" was considered particularly problematic as it was open to misinterpretation by assessors 3 , and hence was dropped. Also, all result elements must have at least one about() function.…”

Section: Path-based Queriesmentioning

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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Generalized contextualization method for XML information retrieval

Cited by 27 publications

References 11 publications

Contextualization using hyperlinks and internal hierarchical structure of Wikipedia documents

Contextualization using hyperlinks and internal hierarchical structure of Wikipedia documents

Theoretical evaluation of XML retrieval

XML Information Retrieval

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