The fuzzy ontology reasoner fuzzyDL

Bobillo, Fernando; Straccia, Umberto

doi:10.1016/j.knosys.2015.11.017

Cited by 96 publications

(81 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fuzzy data can be manipulated, according to Bobillo and Straccia (), using fuzzy logic operations such as conjunction, disjunction, negation, and implication. These operators do not behave in the same way as in a classic logic, even several authors have given different interpretations to them, such as Łukasiewicz (Giles, ), Gödel (Bobillo, Delgado, & Gómez‐Romero, ), and Zadeh ().…”

Section: Our Proposal: Fuzzy‐dl For Supporting the Rehabilitation Of mentioning

confidence: 99%

“…These can be assigned by using different membership functions such as trapezoidal function, triangular function, left shoulder function, crisp function, linear function, and right shoulder function (see some examples in Table 6). Fuzzy data can be manipulated, according to Bobillo and Straccia (2016), using fuzzy logic operations such as conjunction, disjunction, negation, and implication. These operators do not behave in the same way as in a classic logic, even several authors have given different interpretations to them, such as Łukasiewicz (Giles, 1976), Gödel (Bobillo, Delgado, & Gómez-Romero, 2012), and Zadeh (1965).…”

Section: Fuzzy-dl For Supporting the Rehabilitation Of The Elderlymentioning

confidence: 99%

See 1 more Smart Citation

Fuzzy‐description logic for supporting the rehabilitation of the elderly

et al. 2019

View full text Add to dashboard Cite

According to the latest statistics, the proportion of the elderly (+65) is increasing and is expected to double within the European Union in a period of 50 years. This ageing is due to the improvement of quality of life and advances in medicine in the last decades. Gerontechnology is receiving a great deal of attention as a way of providing the elderly with sustainable products, environments, and services combining gerontology and technology. One of the most important aspects to consider by gerontechnology is the mobility/rehabilitation technologies, because there is an important relationship between mobility and the elderly's quality of life. Telerehabilitation systems have emerged to allow the elderly to perform their rehabilitation exercises remotely. However, in many cases, the proposed systems assist neither the patients nor the experts about the progress of the rehabilitation. To address this problem, we propose in this paper, a fuzzy‐semantic system for evaluating patient's physical state during the rehabilitation process based on well‐known standard for patients' evaluation. Moreover, a tool called FINE has been developed that facilitates the evaluation be accomplished in a semi‐automatic way first asking patients to carry out a set of standard tests and then inferencing their state by means of a fuzzy‐semantic approach using the data captured during the rehabilitation tasks.

show abstract

Section: Our Proposal: Fuzzy‐dl For Supporting the Rehabilitation Of mentioning

confidence: 99%

Section: Fuzzy-dl For Supporting the Rehabilitation Of The Elderlymentioning

confidence: 99%

Fuzzy‐description logic for supporting the rehabilitation of the elderly

et al. 2019

View full text Add to dashboard Cite

show abstract

“…On the other hand, there is a lot of work going on regarding the development of the semantic web. Recent research is concerned with the development of vague description logics [2]. The creation of vague description logics that deal with qualitative spatial representation and reasoning has been studied and implemented for the semantic web [14].…”

Section: Related Workmentioning

confidence: 99%

Modeling CDC in a fuzzy description logic A comparison of different approaches

Unold

Cruz

2019

Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

View full text Add to dashboard Cite

Relative information about locations of places can be described using the cardinal direction calculus (CDC). Some extensions of the calculus allow to express vague information and others include nearness/closeness. The development of description logics for qualitative spatial calculi has also been done. In this paper, we propose several knowledge bases for fuzzy description logics to manage information on relative positions of points of interest (POI) with respect to cardinal directions and distance. The theory of vague description logics is used and applied on the cardinal direction calculus. The paper compares the different approaches and aims to objectify the comparison by generating artificial datasets that form the basis for the evaluation. The evaluation is performed in different scenarios with different parameters and the results are discussed. The advantages and disadvantages of each model are related to potential application scenarios.

show abstract

“…OWL [220] and its successor OWL 2 [81,221] are standard W3C languages for defining and instantiating Web ontologies whose logical counterpart are classical DLs. So far, several fuzzy extensions of DLs exists and some fuzzy DL reasoners have been implemented, such as fuzzyDL [21,41], DeLorean [16], Fire [115,253], SoftFacts [284], GURDL [125], GERDS [126], YADLR [157], FRESG [312] and DLMedia [283,299]. Not surprisingly, each reasoner uses its own fuzzy DL language for representing fuzzy ontologies and, thus, there is a need for a standard way to represent such information.…”

Section: Fuzzy Dlsmentioning

confidence: 99%

From Fuzzy to Annotated Semantic Web Languages

Straccia¹,

Bobillo²

2017

Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering

Self Cite

View full text Add to dashboard Cite

We present the state of the art in representing and reasoning with fuzzy knowledge in Semantic Web Languages such as triple languages RDF/RDFS, conceptual languages of the OWL 2 family and rule languages. We further show how one may generalise them to so-called annotation domains, that cover also e.g. temporal and provenance extensions. * This is an updated version of [291] and acts as accompanying material to my invited talk and slides at the 1 More concretely, the intensity of precipitation is expressed in terms of a precipitation rate R: volume flux of precipitation through a horizontal surface, i.e. m 3 /m 2 s = ms −1 . It is usually expressed in mm/h. 2

show abstract

The fuzzy ontology reasoner fuzzyDL

Cited by 96 publications

References 52 publications

Fuzzy‐description logic for supporting the rehabilitation of the elderly

Fuzzy‐description logic for supporting the rehabilitation of the elderly

Modeling CDC in a fuzzy description logic A comparison of different approaches

From Fuzzy to Annotated Semantic Web Languages

Contact Info

Product

Resources

About