Populating a Database from Parallel Texts Using Ontology-Based Information Extraction

Wood, Mary McGee; Lydon, Susannah J.; Tablan, Valentin; Maynard, Diana; Cunningham, Hamish

doi:10.1007/978-3-540-27779-8_22

Cited by 18 publications

(14 citation statements)

References 3 publications

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“…Research focusing on semantic-rich sections, such as morphological description sections, took one of the three approaches: the syntactic parsing approach, the rule-based approach, or the machine learning approach. Earlier projects [8,1,9] using syntactic parsing methods to extract relevant information to populate relational databases or to fill in an XML format have been reported to work on a single collection, yet no scientific evaluation of system performance was provided. Syntactic parsing methods require hand-crafted grammar rules and extensive lexicons to guide the parsing process.…”

Section: Review Of Current Techniquesmentioning

confidence: 99%

Unsupervised semantic markup of literature for biodiversity digital libraries

Cui

2008

Proceedings of the 8th ACM/IEEE-CS Joint Conference on Digital Libraries

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This paper reports the further development of machine learning techniques for semantic markup of biodiversity literature, especially morphological descriptions of living organisms such as those hosted at efloras.org and algaebase.org. Syntactic parsing and supervised machine learning techniques have been explored by earlier research. Limitations of these techniques promoted our investigation of an unsupervised learning approach that combines the strength of earlier techniques and avoids the limitations. Semantic markup at the organ and character levels is discussed. Research on semantic markup of natural heritage literature has direct impact on the development of semantic-based access in biodiversity digital libraries.

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Section: Review Of Current Techniquesmentioning

confidence: 99%

Unsupervised semantic markup of literature for biodiversity digital libraries

Cui

2008

Proceedings of the 8th ACM/IEEE-CS Joint Conference on Digital Libraries

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“…An "organization" ontology is used to depict the organizational structure of a firm, and an "activity" ontology is used to reflect the tasks within the firm's business processes). Additional efforts should be devoted to develop new ontology integration approaches in order to leverage issues such as ontology collaboration, conflicts handling, and so forth [35], [36], [37]. A new type of ontology, namely "bridge ontology", has been developed for such purposes [38].…”

Section: Technique-oriented Issuesmentioning

confidence: 99%

An Ontology-Based Information Extraction (OBIE) Framework for Analyzing Initial Public Offering (IPO) Prospectus

Tao

Deokar

El‐Gayar

2014

2014 47th Hawaii International Conference on System Sciences

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With the large amounts of information associated with the Initial Public Offering (IPO) process, an intelligent tool is needed for assisting the decisionmaking activities for both the investors and the underwriters. Even though a large body of related studies exists in extant literature, minimum attention has been devoted to the aspect of understanding hidden semantics within the informative contents of IPO prospectus. In this paper, we present a framework for processing the textual content of IPO prospectus based on an emerging technique named Ontology Based Information Extraction (OBIE). Preliminary results indicates that the framework is capable of meeting the design requirements identified. Moreover, lessons learned during the design and implementation span technical and organizational considerations and can serve as guidance for future research and development in related areas.

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“…al. [3] extracted the botanical data presented in the form of text and defined a model for correlating them using ontologies.…”

Section: Literature Surveymentioning

confidence: 99%

A Semantic Based Approach for Knowledge Discovery and Acquisition from Multiple Web Pages Using Ontologies

Abirami¹,

Askarunisa²

2013

IJWesT

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Populating a Database from Parallel Texts Using Ontology-Based Information Extraction

Cited by 18 publications

References 3 publications

Unsupervised semantic markup of literature for biodiversity digital libraries

Unsupervised semantic markup of literature for biodiversity digital libraries

An Ontology-Based Information Extraction (OBIE) Framework for Analyzing Initial Public Offering (IPO) Prospectus

A Semantic Based Approach for Knowledge Discovery and Acquisition from Multiple Web Pages Using Ontologies

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