Recent results show that ontology consistency is undecidable for a wide variety of fuzzy Description Logics (DLs). Most notably, undecidability arises for a family of inexpressive fuzzy DLs using only conjunction, existential restrictions, and residual negation, even if the ontology itself is crisp. All those results depend on restricting reasoning to witnessed models. In this paper, we show th...

Fuzzy Protégé is a semi-automatic collaborative tool for the construction of fuzzy ontology models, built as a Protégé 3.3.1 tab plug-in. Fuzzy Protégé is an extension of the well known ontology editor Protégé for which we have defined new meta-classes to allow the definition of parameterized membership functions. Fuzzy Protégé also gives support to instantiate fuzzy concepts and roles and allo...

Temporal ontologies contain events that are concepts and roles with references to temporal intervals. Therefore, a temporal ontology induces the interval ontology. We consider fuzzy interval ontologies written in a fuzzy Boolean extension of Allen’s interval logic. Syntactically, the extended logic ELA is the set of all Boolean combinations of propositional variables and sentences of Allen’s in...

Geospatial ontology plays a key role in Geospatial Semantic Retrieval (GSR), which provides support for query expansion and disambiguation, relevance ranking and web page annotation. However, existing ontologies are deficient in representing and reasoning fuzzy geospatial information, an important type of information that distributes widely in user’s queries and web pages. This paper proposes a...

In order to efficiently manage and use knowledge, ontology technologies are widely applied to various kinds of domain knowledge. This paper proposes a Chinese term clustering mechanism for generating semantic concepts of a news ontology. We utilize the parallel fuzzy inference mechanism to infer the conceptual resonance strength of a Chinese term pair. There are four input fuzzy variables, cons...

Semantic web, also known as next generation web, aims to provide context based information and services to the user. Although, ontologies play key role in implementation and exploitation of semantic web, however these fail to handle imprecision and uncertainty involved in user requests. Fuzzy logic provides a means to overcome the mentioned shortcoming and hence handles imprecise and vague know...

Ontology is an important tool on the semantic web, for ontology has a powerful expressive ability on knowledge representation. However, it has no ability to represent the imprecise information as well as the uncertainty. In order to share and deal with the fuzzy knowledge between homogeneous systems on the semantic web, in this paper, the concept of linguistic variable ontology is proposed as t...

This paper explores an approach to solving the problem of detecting time series anomalies, taking into account specifics subject area. We propose a method based on integration neural network with long short-term memory (LSTM) and Fuzzy OWL (Fuzzy Web Ontology Language) ontology. A LSTM is used for mathematical search anomalies in first stage. The fuzzy ontology filters detection results draws i...

Ontology is playing an increasingly important role in knowledge management and the Semantic Web. This study presents a novel episode-based ontology construction mechanism to extract domain ontology from unstructured text documents. Additionally, fuzzy numbers for conceptual similarity computing are presented for concept clustering and taxonomic relation definitions. Moreover, concept attributes...