Domain ontology

SNOMED CT is the largest clinical terminology worldwide. Quality assurance of SNOMED CT is of utmost importance to ensure that it provides accurate domain knowledge to various SNOMED CT-based applications. In this work, we introduce a deep learning-based approach to uncover missing is-a relations in SNOMED CT.

10p vighostrider 25-05-2023 3 2   Download

Information retrieval techniques: Lecture 39. The main topics covered in this chapter include: search computing; multi-domain queries with ranking; why search engines can’t do it; observed trends; the search computing “manifesto”; search computing architecture;... Please refer to the content of document.

16p tieuvulinhhoa 22-09-2022 7 4   Download

The generic nature of OntoDT enables it to support a wide range of other applications, especially in combination with other domain specific ontologies: the construction of data mining workflows, annotation of software and algorithms.

21p guernsey 28-12-2021 18 1   Download

This review describes how UFL will expand the scope of applications and significantly improve the ontological value of natural leather. Significantly, UFL is expected to boost the sustainable development of conventional leather industry and the next-generation of advanced functional bio-based materials.

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The concepts from the context ontology were extracted from various resources, sorted and categorized based on types and functions for standardization purposes. Survey was given to five domain experts for evaluation of COCCC ontology in terms of its usability.

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Vespa velutina, one of the most aggressive and fearful wasps in China, can cause grievous allergies and toxic reactions, leading to organ failure and even death. However, there is little evidence on molecular data regarding wasps.

14p vijeeni2711 24-07-2021 10 0   Download

Ontology is an explicit specification of a conceptualization”. This paper describes the construction of ontology for the agricultural domain, and the crop management in particular. Ontology together with a set of individual instances of classes constitutes a knowledge base. TNAUCrpOnt is the proposed ontology tool used for facilitating indexing and searching processes in a repository environment. This repository contains information in the form of instances.

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Semantic similarity measures estimate the similarity between concepts, and play an important role in many text processing tasks. Approaches to semantic similarity in the biomedical domain can be roughly divided into knowledge based and distributional based methods.

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Biomedical ontologies are increasingly instrumental in the advancement of biological research primarily through their use to efficiently consolidate large amounts of data into structured, accessible sets. However, ontology development and usage can be hampered by the segregation of knowledge by domain that occurs due to independent development and use of the ontologies.

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Semantic approaches such as concept-based information retrieval rely on a corpus in which resources are indexed by concepts belonging to a domain ontology. In order to keep such applications up-to-date, new entities need to be frequently annotated to enrich the corpus.

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Coreference resolution is the task of finding strings in text that have the same referent as other strings. Failures of coreference resolution are a common cause of false negatives in information extraction from the scientific literature.

14p viflorida2711 30-10-2020 9 2   Download

Ontologies are representations of a conceptualization of a domain. Traditionally, ontologies in biology were represented as directed acyclic graphs (DAG) which represent the backbone taxonomy and additional relations between classes.

9p viconnecticut2711 29-10-2020 11 1   Download

This paper has presented LOD-ABOG framework which shows that current LOD sources and technologies are a promising solution to automate the process of biomedical ontology generation and extract relations to a greater extent. In addition, unlike existing frameworks which require domain experts in ontology development process, the proposed approach requires involvement of them only for improvement purpose at the end of ontology life cycle.

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Despite a wide adoption of English in science, a significant amount of biomedical data are produced in other languages, such as French. Yet a majority of natural language processing or semantic tools as well as domain terminologies or ontologies are only available in English, and cannot be readily applied to other languages, due to fundamental linguistic differences.

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Recent studies have proposed deep learning techniques, namely recurrent neural networks, to improve biomedical text mining tasks. However, these techniques rarely take advantage of existing domain-specific resources, such as ontologies. In Life and Health Sciences there is a vast and valuable set of such resources publicly available, which are continuously being updated.

12p vicoachella2711 27-10-2020 16 1   Download

Although there is an enormous number of textual resources in the biomedical domain, currently, manually curated resources cover only a small part of the existing knowledge. The vast majority of these information is in unstructured form which contain nonstandard naming conventions.

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In recent years, biomedical ontologies have become important for describing existing biological knowledge in the form of knowledge graphs. Data mining approaches that work with knowledge graphs have been proposed, but they are based on vector representations that do not capture the full underlying semantics. An alternative is to use machine learning approaches that explore semantic similarity.

19p vicolorado2711 23-10-2020 15 2   Download

n this research work we have inducted the taxonomy from USDA soil taxonomy, as well as extracted the property. More importantly we have done these tasks which are based on regular expression and with the help of connectives. Connective based taxonomy and property extraction helps us not to use huge corpus behind the text processing. In future the framework can be used for other domains in taxonomic text. It may also be extended for the other aspects of ontology learning like identification of axioms and constraints.

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Ontology is a knowledge representation technique, devised for the web based systems to provide the capability to deal with the semantics of the concepts in the specific knowledge domain. Alternatively, taxonomy describes the real world concepts in a well-defined hierarchy and exists in standard form for various domains in science. The present study dealt with the taxonomy of microorganisms. The Three Domain System taxonomy is most widely adopted taxonomy in this domain.

13p nguathienthan4 21-04-2020 9 2   Download

Bài viết trình bày một mô hình tìm kiếm thông tin theo ngữ nghĩa dựa vào ontology. Việc tìm kiếm thực hiện qua các ontology miền (domain ontology) được thiết kế theo các lĩnh vực (chủ đề) từ các tài liệu thu thập được trong kho lưu trữ (không gian tìm kiếm).

9p vihasaki2711 13-11-2019 22 2   Download