Generating Natural Language Descriptions from OWL Ontologies: the NaturalOWL System

Androutsopoulos, Ion; Λάμπουρας, Γεράσιμος; Galanis, Dimitrios

doi:10.1613/jair.4017

Cited by 65 publications

(39 citation statements)

References 67 publications

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“…Approaches for verbalization based on ontology is introduced in [16] for English and Greek languages. A controlled natural language for editing ontology is presented in [17] based on Attempto Controlled English (ACE) language.…”

Section: Discussion and Related Workmentioning

confidence: 99%

LELA - A natural language processing system for Romanian tourism

Varga¹,

Miron²,

Roth³

et al. 2014

Annals of Computer Science and Information Systems

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Abstract-This paper presents a commercial semantic-based system for the Romanian tourism. The Lela system exploits both open linked data from Romanian and international sources, and also proprietary databases in the tourism domain. We present the process of creating the linked data set, based on: i) engineering the LELA Romanian tourism ontology, and ii) populating the ontology by linking open data. The system also provides a natural language interface for the Romanian language. The queries are automatically translated into SPARQL based on a controlled vocabulary derived from the Lela ontology.

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Section: Discussion and Related Workmentioning

confidence: 99%

LELA - A natural language processing system for Romanian tourism

Varga¹,

Miron²,

Roth³

et al. 2014

Annals of Computer Science and Information Systems

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“…In this work, we concentrate on content selection. There are several approaches to content selection which have previously studied including supervised learning [14], [16], unsupervised learning [12], Reinforcement Learning [21], multi-objective optimisation [5], Gricean Maxims [22], Integer Linear Programming [23], interest scores assigned to content [24], statistical approaches [25], a combination of statistical and template-based approaches [26] and many more. None of the aforementioned approaches uses multi-objective optimisation, with the exception of Gkatzia et al [5].…”

Section: Related Workmentioning

confidence: 99%

How to talk to strangers: Generating medical reports for first-time users

Gkatzia

Rieser

Lemon

2016

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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Abstract-We propose a novel approach for handling first-time users in the context of automatic report generation from timeseries data in the health domain. Handling first-time users is a common problem for Natural Language Generation (NLG) and interactive systems in general -the system cannot adapt to users without prior interaction or user knowledge. In this paper, we propose a novel framework for generating medical reports for first-time users, using multi-objective optimisation (MOO) to account for the preferences of multiple possible user types, where the content preferences of potential users are modelled as objective functions. Our proposed approach outperforms two meaningful baselines in an evaluation with prospective users, yielding large (= .79) and medium (= .46) effect sizes respectively.

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“…NaturalOWL [1] Macro planificación Micro planificación Realización Ontología OWL (D2T) Oración sintáctica y semática-mente correcta. • Flexibilidad.…”

Section: Sparkyunclassified

“…NaturalOWL [1] es una herramienta D2T que a partir de una ontología (OWL) genera un texto con la información contenida enésta. OWL es un estándar para especificar Ontologías en la Web Semántica.…”

Section: Sparkyunclassified

La generacion de lenguaje natural: análisis del estado actual

Vicente¹,

Barros²,

Peregrino³

et al. 2015

CyS

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Resumen. El ser humano se comunica y expresa a través del lenguaje. Para conseguirlo, ha de desarrollar una serie de habilidades de alto nivel cognitivo cuya complejidad se pone de manifiesto en la tarea de automatizar el proceso, tanto cuando se trata de producir lenguaje como de interpretarlo. Cuando la acción comunicativa ocurre entre una persona y un ordenador ý esteúltimo es el destinatario de la acción, se emplean lenguajes computacionales que, como norma general, están sujetos a un conjunto de reglas fuertemente tipadas, acotadas y sin ambigüedad. Sin embargo, cuando el sentido de la comunicación es el contrario y la máquina ha de transmitir información a la persona, si el mensaje se quiere transmitir en lenguaje natural, el procedimiento para generarlo debe lidiar con la flexibilidad y la ambigüedad que lo caracterizan, dando lugar a una tarea de alto nivel de complejidad. Para que las máquinas sean capaces de manejar el lenguaje humano se hacen necesarias técnicas de Lingüística Computacional. Dentro de esta disciplina, el campo que se encarga de crear textos en lenguaje natural se denomina Generación de Lenguaje Natural (GLN). En este artículo se va a hacer un recorrido exhaustivo de este campo. Se describen las fases en las que se suelen descomponer los sistemas de GLN junto a las técnicas que se aplican y se analiza con detalle la situación actual de estaárea de investigación y su problemática, así como los recursos más relevantes y las técnicas que se están empleando para evaluar la calidad de los sistemas.Palabras clave. Lingüística computacional, generación de lenguaje natural, GLN, fases, técnicas, evaluación. Natural Language Generation: Revision of the State of the ArtAbstract. Language is one of the highest cognitive skills developed by human beings and, therefore, one of the most complex tasks to be faced from the computational perspective. Human-computer communication processes imply two different degrees of difficulty depending on the nature of that communication. If the language used is oriented towards the domain of the machine, there is no place for ambiguity since it is restricted by rules. However, when the communication is in terms of natural language, its flexibility and ambiguity becomes unavoidable. Computational Linguistic techniques are mandatory for machines when it comes to process human language. Among them, the area of Natural Language Generation aims to automatical development of techniques to produce human utterances, text and speech. This paper presents a deep survey of this research area taking into account different points of view about the theories, methodologies, architectures, techniques and evaluation approaches, thus providing a review of the current situation and possible future research in the field. Keywords.Computational linguistics, natural language generation, NLG, stages, techniques, evaluation. IntroducciónLa Lingüística Computacional (LC) es un campo en el que convergen diversas disciplinas: la lingüística aplicada, la informática y la inteligencia artifici...

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Generating Natural Language Descriptions from OWL Ontologies: the NaturalOWL System

Cited by 65 publications

References 67 publications

LELA - A natural language processing system for Romanian tourism

LELA - A natural language processing system for Romanian tourism

How to talk to strangers: Generating medical reports for first-time users

La generacion de lenguaje natural: análisis del estado actual

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