A semantic role labelling-based framework for learning ontologies from Spanish documents

Ochoa, José Luís; Valencia‐García, Rafael; Perez-Soltero, Alonso; Barceló-Valenzuela, Mario

doi:10.1016/j.eswa.2012.10.017

Cited by 30 publications

(24 citation statements)

References 30 publications

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“…The contributions given in this architecture, help the progress of the construction of NLP automatic tools that can carry out the processes of construction and population of ontologies. It also provides an intermediate file in OWL ( 18 , 19 ) format that can be consulted with an ontological editor such as Protégé, where you can see the results. A file is also generated in XML format where the HL7-CDA clinical information and message interoperability standard ( 20 ) is implemented.…”

Section: Resultsmentioning

confidence: 99%

An Ontology-Based Knowledge Methodology in the Medical Domain in the Latin America: the Study Case of Republic of Panama

Cedeno-Moreno

Vargas-Lombardo

2018

Acta Inform Med

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Introduction:Nowadays in Panama, there is a lot of patient information stored in textual form which cannot be manipulated to manage adequate knowledge. There are multiple resources created to represent knowledge, including specialized glossaries, ontologies, among others. The ontologies are an important part within the scope of the recovery and organization of the information and the semantic web. Also in recent works they are used in applications of natural language processing (NLP), as a knowledge base.Aim:This research was conducted with the aim of creating a methodology that allows from a text written in NL, extract the necessary elements using NLP tools and with them create a knowledge base represented by one domain ontology and extract knowledge to help medical specialists.Material and Methods:In this study we carried out a methodology that allows the extraction of knowledge of patient clinical records, general medicine and palliative care, in order to show relevant knowledge elements to specialists. The methodology was validated with a data corpus of approximately 200 patient records.Conclusion:We have created a knowledge representation methodology, combining NLP techniques and tools and the automatic instantiation of an ontology, which can serve as a software agent for other applications or used to visualize the patient’s clinical information. The study was validated using the traditional metrics of information retrieval systems precision, recall, F-measure obtaining excellent results, and can be used as a software agent or methodology for the development of information extraction software systems in the medical domain.

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Section: Resultsmentioning

confidence: 99%

An Ontology-Based Knowledge Methodology in the Medical Domain in the Latin America: the Study Case of Republic of Panama

Cedeno-Moreno

Vargas-Lombardo

2018

Acta Inform Med

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“…Ochoa et al 91 proposed a new fully automatic ontology learning method based on Spanish data documents. They extracted the structure of the sentence through NLP technology, and then used the linguistic pattern to identify candidate words and used C/NC-value, 92 term frequency-inverse document frequency (TF-IDF), and other methods to filter, extract concepts, and relationships.…”

Section: Automatic Methodsmentioning

confidence: 99%

Knowledge modeling: A survey of processes and techniques

Yun

Zhang

et al. 2021

Int J Intell Syst

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“…The expression of element list is realized to verify the validity of semantic primitive extraction. (Ochoa et al, 2013) proposed a domain ontology construction method based on semantic role labeling. (Obitko et al, 2004) used Stanford University's natural language processing tools to preprocess the input text first and obtained the PCFGs syntactic analysis results and dependent syntactic analysis results of each sentence.…”

Section: Introductionmentioning

confidence: 99%

Semantic Primitives Extraction for XBRL Domain Ontology

Ye¹,

Pan²

2020

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At present, XBRL (Extensible Business Reporting Language) has been used in more and more countries and organizations. Although XBRL has achieved a series of remarkable achievements, the current development of XBRL has also encountered bottlenecks. On the one hand, the XBRL field has not been unified. On the other hand, the semantics of concepts in the domain ontology of XBRL is weak, resulting in the slow application and promotion of XBRL. This paper regulates the extraction of semantic primitives in the ontology of XBRL domain from the perspective of semantics and solves the problem of "how to extract semantic primitives". The solution to this problem can promote computers to better understand XBRL financial reports and reduce the technical difficulty of XBRL. This paper comprehensively uses the theories of semantic primitives, graph theory, and domain ontology. First, it analyzes the research status and shortcomings of semantic primitive extraction methods. Second, it constructs a graph of accounting term relationship network from the perspective of graph theory. The extraction of semantic primitives. Finally, the validity of semantic primitive extraction is analyzed and verified.

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A semantic role labelling-based framework for learning ontologies from Spanish documents

Cited by 30 publications

References 30 publications

An Ontology-Based Knowledge Methodology in the Medical Domain in the Latin America: the Study Case of Republic of Panama

An Ontology-Based Knowledge Methodology in the Medical Domain in the Latin America: the Study Case of Republic of Panama

Knowledge modeling: A survey of processes and techniques

Semantic Primitives Extraction for XBRL Domain Ontology

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