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Currently, the most common method that tourists make decisions on selecting their preferred hotels is a data analysis from online reviews of experienced tourists to support the decision. Unfortunately, tourists must read enormous reviews in order to select the preferred hotels. This paper presents the design and development of an automatic knowledge extraction system from online hotel reviews of tourists...
For the sophisticated representation and reasoning in the rule and logic layers of the semantic Web, we propose a language which mainly based on the combination of fuzzy description logic (fuzzy SHOIQ(D)) and rule system (Datalog). Section 2 presents the syntax and semantics of the language. Section 3 discusses the problems relating to reasoning and proposes a graph-based algorithm for consistency...
Description Logics (DL) has become popular knowledge representation formalisms for various applications in the Semantic Web. However, DL has its limit in knowledge representation ability as it can only represent one free variable at a time. Compared to DL, Horn logic covers different but overlapping areas of knowledge representation. This paper presents an approach to build Horn logic based rules...
In this paper, we construct a fuzzy ontology model and propose using a fuzzy matching rule base to promote a fuzzy ontology generation frame which supports rough concept descriptions on intrinsic semantic level. To consider the rule base and express the fuzziness, the formal analysis of concept vector is developed for the generation of fuzzy ontology that can deal with uncertain information. The proposed...
In this paper, we present the very first algorithm for answering expressive fuzzy conjunctive queries, which allow the occurrence of both lower bound and the upper bound of threshold in a query atom, over the relative expressive fuzzy DL, f-ALC. The algorithm we suggest here can easily be adapted to existing (and future) DL implementations. We distinguish the queries into two categories, the ground...
Integrating rules and ontologies has become a key requirement for applications in the semantic Web. Web applications in general have also motivated another requirement, that of handling uncertainty, an intrinsic feature of the real world. In this paper, we present a fuzzy extension to description logic programs (DLP), called fhDLP. fhDLP not only combines DL with LP, as in DLP, but also supports uncertainty...
The semantic Web is turning into a new generation Web, where Web resources will be semantically annotated based on resource description framework (RDF) and ontology to share and reuse knowledge. In order to integrate fuzzy logic in the semantic Web and to represent fuzzy knowledge, this paper utilizes fuzzy ontology and RDF to represent formally the fuzzy linguistic variables, the basic of fuzzy knowledge...
The following topics are discussed: distributed artificial intelligence; knowledge-based systems; ontologies; natural language processing; machine learning and data mining; pattern recognition; neural networks; genetic and hybrid intelligent systems; computer vision and image processing; robotics, planning and scheduling; uncertainty, probabilistic reasoning and fuzzy logic; multiagent systems; and...
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