An automated approach for retrieving hierarchical data from HTML tables

Lim, SeungJin; Ng, Yiu‐Kai

doi:10.1145/319950.320052

Cited by 39 publications

(25 citation statements)

References 6 publications

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“…Appropriate markup can be used to assign logical structure arrangement to table cells [13], while navigation can be improved by additional markup annotation to add context to existing tables [14]. Other suggestions include automated approaches for retrieval of hierarchical data from HTML tables [15]. Smart browsers are used to access critical information for use in reading tables as well as linearization techniques are employed for transforming tables into a more easily readable form by screen readers [16].…”

Section: Problem Formulationmentioning

confidence: 99%

Acoustic Rendering of Data Tables Using Earcons and Prosody for Document Accessibility

Spiliotopoulos

Stavropoulou

2009

Lecture Notes in Computer Science

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Abstract. Earlier works show that using a prosody specification that is derived from natural human spoken rendition, increases the naturalness and overall acceptance of speech synthesised complex visual structures by conveying to audio certain semantic information hidden in the visual structure. However, prosody alone, although exhibits significant improvement, cannot perform adequately in the cases of very large complex data tables browsed in a linear manner. This work reports on the use of earcons and spearcons combined with prosodically enriched aural rendition of simple and complex tables. Three spoken combinations earcons+prosody, spearcons+prosody, and prosody were evaluated in order to examine how the resulting acoustic output would improve the document-to-audio semantic correlation throughput from the visual modality. The results show that the use of non-speech sounds can further improve certain qualities, such as listening effort, a crucial parameter when vocalising any complex visual structure contained in a document.

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Section: Problem Formulationmentioning

confidence: 99%

Acoustic Rendering of Data Tables Using Earcons and Prosody for Document Accessibility

Spiliotopoulos

Stavropoulou

2009

Lecture Notes in Computer Science

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“…6 We recognize that [LN99a] had an earlier solution for a much smaller subclass of HTML tables. We also recognize that there is a larger class of HTML tables and an even larger class of tables in general [LN99b].…”

Section: Form Attribute-value Pairsmentioning

confidence: 99%

Automating the extraction of data from HTML tables with unknown structure

Embley

Tao

Liddle

2005

Data & Knowledge Engineering

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Data on the Web in HTML tables is mostly structured, but we usually do not know the structure in advance. Thus, we cannot directly query for data of interest. We propose a solution to this problem based on document-independent extraction ontologies. Our solution entails elements of table understanding, data integration, and wrapper creation. Table understanding allows us to find tables of interest within a Web page, recognize attributes and values within the table, pair attributes with values, and form records. Data-integration techniques allow us to match source records with a target schema. Ontologically specified wrappers allow us to extract data from source records into a target schema. Experimental results show that we can successfully locate data of interest in tables and map the data from source HTML tables with unknown structure to a given target database schema. We can thus "directly" query source data with unknown structure through a known target schema.

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“…However, most of the previous works achieve adaptation only under some special conditions due to the lack of structural information. Some works tried to extract semantic structural information from HTML tag either manually [6] - [9] or automatically [10] [11]. But these approaches lack an overview of the whole website.…”

Section: Qiu Fengwumentioning

confidence: 99%

Function-based object model towards website adaptation

Chen

Zhou

Jin

et al. 2001

Proceedings of the 10th International Conference on World Wide Web

131

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Content understanding is a crucial issue for website adaptation. In this paper we present a Function-based Object Model (FOM) that attempts to understand authors' intention by identifying Object function instead of semantic understanding. Every Object in a website serves for certain functions (Basic and Specific Function) which reflect authors' intention towards the purpose of an Object. Based on this consideration we have proposed the FOM model for website understanding. FOM includes two complementary parts: Basic FOM based on the basic functional properties of Object and Specific FOM based on the category of Object. An automatic approach to detect the functional properties and category of Object is presented for FOM generation. Two level adaptation rules (general rules and specific rules) based on FOM are combined for practical adaptation. A system for web content adaptation over Wireless Application Protocol (WAP) is developed as an application example of the proposed model. Experiments have shown satisfactory results and extensibility.

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An automated approach for retrieving hierarchical data from HTML tables

Cited by 39 publications

References 6 publications

Acoustic Rendering of Data Tables Using Earcons and Prosody for Document Accessibility

Acoustic Rendering of Data Tables Using Earcons and Prosody for Document Accessibility

Automating the extraction of data from HTML tables with unknown structure

Function-based object model towards website adaptation

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