Ontology classes

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

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

Ontology-based enrichment analysis aids in the interpretation and understanding of large-scale biological data. Ontologies are hierarchies of biologically relevant groupings. Using ontology annotations, which link ontology classes to biological entities, enrichment analysis methods assess whether there is a significant over or under representation of entities for ontology classes.

7p vikentucky2711 26-11-2020 10 1   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 article discusses how structural, orientational, ontological conceptual metaphors work in forming new language expressions or idioms. From this insight, several suggestions for EFL classes are made.

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In this paper, a computational semantic method is proposed to estimate the phrasal semantic distance used in our model of Vietnamese document retrieval system. The semantic distances between phrases are defined in terms of semantic classes and semantic relations to ensure that it can reflect how different two certain phrases are.

18p dieutringuyen 07-06-2017 47 2   Download

We demonstrate an open-source natural language generation engine that produces descriptions of entities and classes in English and Greek from OWL ontologies that have been annotated with linguistic and user modeling information expressed in RDF . We also demonstrate an accompanying plug-in for the Prot´ g´ ontology editor, e e which can be used to create the ontology’s annotations and generate previews of the resulting texts by invoking the generation engine.

4p bunthai_1 06-05-2013 50 2   Download

We present a weakly supervised approach to automatic Ontology Population from text and compare it with other two unsupervised approaches. In our experiments we populate a part of our ontology of Named Entities. We considered two high level categories - geographical locations and person names and ten sub-classes for each category. For each sub-class, from a list of training examples and a syntactically parsed corpus, we automatically learn a syntactic model - a set of weighted syntactic features, i.e.

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This paper presents a detailed study of the integration of knowledge from both dependency parses and hierarchical word ontologies into a maximum-entropy-based tagging model that simultaneously labels words with both syntax and semantics. Our findings show that information from both these sources can lead to strong improvements in overall system accuracy: dependency knowledge improved performance over all classes of word, and knowledge of the position of a word in an ontological hierarchy increased accuracy for words not seen in the training data. ...

8p hongvang_1 16-04-2013 77 5   Download

This paper presents a hybrid approach to question answering in the clinical domain that combines techniques from summarization and information retrieval. We tackle a frequently-occurring class of questions that takes the form “What is the best drug treatment for X?” Starting from an initial set of MEDLINE citations, our system first identifies the drugs under study. Abstracts are then clustered using semantic classes from the UMLS ontology. Finally, a short extractive summary is generated for each abstract to populate the clusters. ...

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We describe the strategy currently pursued for verbalising OWL ontologies by sentences in Controlled Natural Language (i.e., combining generic rules for realising logical patterns with ontology-specific lexicons for realising atomic terms for individuals, classes, and properties) and argue that its success depends on assumptions about the complexity of terms and axioms in the ontology.

5p hongdo_1 12-04-2013 46 3   Download

Definition extraction is the task of automatically identifying definitional sentences within texts. The task has proven useful in many research areas including ontology learning, relation extraction and question answering. However, current approaches – mostly focused on lexicosyntactic patterns – suffer from both low recall and precision, as definitional sentences occur in highly variable syntactic structures.

10p hongdo_1 12-04-2013 46 1   Download

A seminal idea proposed in The Intimate Enemy which has subsequently come rather to define Nandy's (frequently mis-represented) public political stance concerns the disjunctions imposed by colonialism which have returned to haunt contemporary India. The pen- etration of the West has created a class of mimic men, "modernists, whose attempts to identify with the colo- nial aggressors has produced...pathetic copies of...

0p khanhchilam 01-04-2013 38 7   Download

Discovering the distinction between Roles (local restrictions on properties), and Properties (annotations to a specific class) was another important step. At this point in the development, we were forced to make a choice in which species of OWL to use. Developers attached properties that are not inherited to concepts. If the translator directly attached Properties to classes, the ontology would be in OWL Full. For computational benefits, we decided to work in OWL Lite, and thus owl:AnnotationProperties were used. For other conversions, these...

15p taisaokhongthedung 09-01-2013 68 2   Download

The scope of the Translational Medicine Ontology (TMO) is defined by the use case terminology and respective data sources. Each term and corresponding data source was analyzed for its conceptual, representational and reasoning capability as required by the use case requirements. TMO terms were obtained from a lexical analysis of sample research questions from 14 types of users, all of whom were involved in aspects of research, clinical care and or business (Table 2). Terms were formalized as referring to classes, relations or individuals in the OWL ontology.

18p thangbienthai 17-11-2012 73 2   Download