An ontology-based HTML to XML conversion using intelligent agents

Potok, Thomas E.; Elmore, Mark; Reed, Joel W.; Samatova, Nagiza F.

doi:10.1109/hicss.2002.994071

Cited by 16 publications

(9 citation statements)

References 5 publications

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“…To overcome this limitation, several attempts have been made to create annotations based on some well-defined semantic structures and knowledge representations, known as ontologies (Decker et al, 1999). Annotationbased transcoding systems (Hori, 2000;Nagao et al, 2001;Potok et al, 2002) are all based on RDF (Klyne and Carroll, 2004), which is the basic technology for ontologies. However, RDF alone does not share some basic common structures that help to describe classes of resources and types of relationship between resources.…”

Section: Related Workmentioning

confidence: 99%

A platform for transcoding heterogeneous markup documents using ontology-based metadata

Hsu

Chi

Bor

2009

Journal of Network and Computer Applications

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Section: Related Workmentioning

confidence: 99%

A platform for transcoding heterogeneous markup documents using ontology-based metadata

Hsu

Chi

Bor

2009

Journal of Network and Computer Applications

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“…To overcome this limitation, several attempts have been made to create annotations based on some well-defined semantic structures and knowledge representations, known as ontologies [23]. Existing annotation-based transcoding systems [24][25][26] are all based on RDF which is the basic technology for ontologies. However, RDF alone does not share some basic common structure, which would help to describe classes of resource and types of relationship between resources.…”

Section: Definition 4 (Instance Layermentioning

confidence: 99%

An OWL-based extensible transcoding system for mobile multi-devices

Hsu

Kao

2005

Journal of Information Science

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Due to the rapid Internet development, an answer to the challenging question of how to automatically convert heterogeneous information into the desired XML format that can be accepted by a designated device is urgently requested. In this paper, we propose an OWL-based extensible trans-coding system (OETS) which is based on an extensible transcoding policy infrastructure, with a hierarchical structure of ontologies, and can automatically render an HTML document in mobile devices. In order to create common knowledge of OETS, we develop two top level ontologies: procedural sensor/effector ontology (PSEO) and markup file taxonomy ontology (MFTO). PSEO combines with situated logic to support sensor/effector procedures attached to an ontology class, while MFTO supports the markup file and structural components classification. Developers can exploit the extensible transcoding capability of OETS to satisfy various layout-specific structures of HTML pages by providing dedicated domain ontologies.

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“…Within the Virtual Information Processing Agent Research (VIPAR)1 project at the Oak Ridge National Lab, CSE division, Potok et al have developed a process using Internet ontologies and intelligent software agents to perform automatic HTML to XML conversion for Internet newspapers [27]. The VIPAR software has the ability for intelligent agents to use a flexible RDF ontology to transform HTML documents to XML tagged documents.…”

Section: Recent Developmentsmentioning

confidence: 99%

Knowledge Discovery and Data Mining

Bramer

1999

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The large number of government and industry activities supporting the Unit of Action (UA), with attendant documents, reports and briefings, can overwhelm decision-makers with an overabundance of information that hampers the ability to make quick decisions often resulting in a form of gridlock. In particular, the large and rapidly increasing amounts of data and data formats stored on UA Advanced Collaborative Environment (ACE) servers has led to the realization that it has become impractical and even impossible to perform manual analysis leading to timely decisions. UA Program Management (PM UA) has recognized the need to implement a Decision Support System (DSS) on UA ACE. The objective of this document is to research the commercial Knowledge Discovery and Data Mining (KDDM) market and publish the results in a survey. Furthermore, a ranking mechanism based on UA ACE-specific criteria has been developed and applied to a representative set of commercially available KDDM solutions. In addition, an overview of four R&D areas identified as critical to the implementation of DSS on ACE is provided. Finally, a comprehensive database containing detailed information on surveyed KDDM tools has been developed and is available upon customer request. 2.0 ACE OVERVIEW..

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An ontology-based HTML to XML conversion using intelligent agents

Cited by 16 publications

References 5 publications

A platform for transcoding heterogeneous markup documents using ontology-based metadata

A platform for transcoding heterogeneous markup documents using ontology-based metadata

An OWL-based extensible transcoding system for mobile multi-devices

Knowledge Discovery and Data Mining

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