Specific ontologies

The taxonomic structure of microbial community sample is highly habitat-specific, making source tracking possible, allowing identification of the niches where samples originate. However, current methods face challenges when source tracking is scaled up.

17p viellison 28-03-2024 2 2   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

The CBL-interacting protein kinase (CIPK) gene family plays important roles in plant growth, development, and responses to abiotic stresses. To date, the CIPKs have been extensively identified and characterized in various plants. However, there have been few studies on CIPKs in Dimocarpus longan Lour (D. longan). In this study we identified eight putative CIPKs in D. longan (DlCIPKs) according to RNA-seq data.

13p tudichquannguyet 29-11-2021 5 1   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.

5p trinhthamhodang9 16-12-2020 12 2   Download

Biomarkers and target-specific phenotypes are important to targeted drug design and individualized medicine, thus constituting an important aspect of modern pharmaceutical research and development. More and more, the discovery of relevant biomarkers is aided by in silico techniques based on applying data mining and computational chemistry on large molecular databases.

17p viwyoming2711 16-12-2020 15 1   Download

Ontologies and catalogs of gene functions, such as the Gene Ontology (GO) and MIPS-FUN, assume that functional classes are organized hierarchically, that is, general functions include more specific ones. This has recently motivated the development of several machine learning algorithms for gene function prediction that leverages on this hierarchical organization where instances may belong to multiple classes.

18p viwyoming2711 16-12-2020 18 0   Download

Ontological concepts are useful for many different biomedical tasks. Concepts are difficult to recognize in text due to a disconnect between what is captured in an ontology and how the concepts are expressed in text. There are many recognizers for specific ontologies, but a general approach for concept recognition is an open problem.

29p vikentucky2711 26-11-2020 11 1   Download

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

The prediction of human gene–abnormal phenotype associations is a fundamental step toward the discovery of novel genes associated with human disorders, especially when no genes are known to be associated with a specific disease.

18p viflorida2711 30-10-2020 11 2   Download

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

Ontologies are invaluable in the life sciences, but building and maintaining ontologies often requires a challenging number of distinct tasks such as running automated reasoners and quality control checks, extracting dependencies and application-specific subsets, generating standard reports, and generating release files in multiple formats.

10p vicolorado2711 23-10-2020 15 2   Download

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

To examine the implications of an ontology of aggressive behavior which divides aggression into reactive, affective, defensive, impulsive (RADI) or “emotionally hot"; and planned, instrumental, predatory (PIP) or “emotionally cold.”

11p viamsterdam2711 07-01-2020 14 2   Download

The effective and modern management of competence development, which represents a distinguishing key-factor in future Smart Cities, cannot be limited to the Learning Management exclusively, but rather be inclusive of aspects pertaining to Human Capital and Performance Management in a holistic vision that encompasses not only the sphere of operations but also the tactical and strategic levels. In particular, organizations need solutions that especially integrate Learning Management, Performance Management, and Human Resource Management (HRM).

22p kequaidan1 05-11-2019 26 2   Download

In this paper, a domain specific ontology called Information Technology Ontology (ITO) is proposed. This ontology is built basing on three distinct sources of Wikipedia, WordNet and ACM Digital Library. An information extraction system focusing on computing domain based on this ontology in the future will be built.

10p dieutringuyen 07-06-2017 22 3   Download

This paper defines a language Z~ for specifying LFG grammars. This enables constraints on LFG's composite ontology (c-structures synchronised with fstructures) to be stated directly; no appeal to the LFG construction algorithm is needed. We use f to specify schemata annotated rules and the LFG uniqueness, completeness and coherence principles. Broader issues raised by this work are noted and discussed.

6p buncha_1 08-05-2013 40 2   Download

Suregen-2 applications are intended for use as add-on modules for clinical information systems. Currently, Suregen-2 permits refinement of the predefined medical ontology, specification of text plans and description knowledge for objects of the ontology. It has built-in constructs for referential expressions, aggregation, enumeration and recurrent semantic constellations. A first application built with Suregen-2, which currently supports German only, is in routine use.

4p bunthai_1 06-05-2013 50 4   Download

Thesauri and ontologies provide important value in facilitating access to digital archives by representing underlying principles of organization. Translation of such resources into multiple languages is an important component for providing multilingual access. However, the specificity of vocabulary terms in most ontologies precludes fully-automated machine translation using general-domain lexical resources. In this paper, we present an efficient process for leveraging human translations when constructing domain-specific lexical resources.

8p hongvang_1 16-04-2013 64 1   Download

Automatic key phrase extraction is fundamental to the success of many recent digital library applications and semantic information retrieval techniques and a difficult and essential problem in Vietnamese natural language processing (NLP). In this work, we propose a novel method for key phrase extracting of Vietnamese text that exploits the Vietnamese Wikipedia as an ontology and exploits specific characteristics of the Vietnamese language for the key phrase selection stage.

4p hongphan_1 15-04-2013 50 5   Download

Both a classified content and unstructured data view are valid and necessary. Organizational principles are the domain of librarians creating classifications and ontologies including the semantic web versus machine learning approaches to self-organize content. However, with large quantities of information, users are not just unwilling to classify, but are in fact unable to do it. Special skills are required to construct useful classifications. The first impulse we and others have felt is to just wish away the usefulness of metadata and hierarchies.

27p yasuyidol 02-04-2013 92 3   Download