A Fuzzy Integrated Ontology Model to Manage Uncertainty in Semantic Web: The FIOM
نویسندگان
چکیده
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 knowledge quite decorously. This work proposes Fuzzy Integrated Ontology Model (FIOM) which aims to integrate fuzzy logic in design structure of ontology, so that it can handle vague and imprecise information. KeywordsSemantic Web; Ontology design; Fuzzy Logic; Uncertainty
منابع مشابه
An Executive Approach Based On the Production of Fuzzy Ontology Using the Semantic Web Rule Language Method (SWRL)
Today, the need to deal with ambiguous information in semantic web languages is increasing. Ontology is an important part of the W3C standards for the semantic web, used to define a conceptual standard vocabulary for the exchange of data between systems, the provision of reusable databases, and the facilitation of collaboration across multiple systems. However, classical ontology is not enough ...
متن کاملQuery Architecture Expansion in Web Using Fuzzy Multi Domain Ontology
Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...
متن کاملDeveloping a BIM-based Spatial Ontology for Semantic Querying of 3D Property Information
With the growing dominance of complex and multi-level urban structures, current cadastral systems, which are often developed based on 2D representations, are not capable of providing unambiguous spatial information about urban properties. Therefore, the concept of 3D cadastre is proposed to support 3D digital representation of land and properties and facilitate the communication of legal owners...
متن کاملFuzzy Ontology Models Based on Fuzzy Linguistic Variable for Knowledge Management and Information Retrieval
Ontology is the basis of sharing and reusing knowledge on the Semantic Web, and ontology-based semantic retrieval is a hotspot of current research. Fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. To represent fuzzy knowledge more effectively, this paper presents a new series of fuzzy ontology models that consists of fuzzy domain ontology and fuzzy linguis...
متن کاملOWL-FC: an upper ontology for semantic modeling of Fuzzy Control
This work introduces an OWL-based upper ontology, called OWL-FC (Ontology Web Language for Fuzzy Control), capable to support a semantic definition of Fuzzy Control. It focuses on the fuzzy rules representation by providing domain independent ontology, supporting interoperability and favoring domain ontologies re-usability. The main contribution is that OWL-FC exploits Fuzzy Logic in OWL to mod...
متن کامل