Similarity Measurement in the Hybrid of Semantic Web Search Engine

Abstract

Semantic Web approach with the assistance of ontology is widely used to give more reliable application in retrieving information and knowledge. It is capable to discover the World Wide Web (WWW) that is presented in natural-language text. Based on previous research, incorporating categorization with ontology concept has proven to give better results. However, performing hybrid of the search engine using another technique that is user profiling has a promising potency in enhancing the searching process. Utilizing searching time and giving relevant results are the contributions of this research. The proposed hybrid techniques integrate ontologies, categorization and user profiling concept. In user profiling, similarity measure is adopted in making comparison between two different ontologies. WordNet and UTHM Onto are the independent ontologies used in this process. The preliminary experimental results have given interesting results in terms of data arrangement and time usage.

Similarity algorithm for evaluating the coverage of domain ontology for semantic Web services

“…For example, hotel, booking and flight were commonly related to tourism or travel domain. Previous research compares string of keywords provided by user with the concept, individuals or property within ontology documents like [24] but their aim is to improve similarity measurement based on user profiling.…”

“…Our study aims on the domain of Travel. Related study has proposed to follow WordNet as frame of references but focusing on different area, for example publication domain [17] and programming domain [24].…”

“…It may include financial domain or mixtures of variety of domain in a single ontology which made it difficult to focus on one exact domain coverage for the hybrid types of web services domain ontology. While some add user profiling method to declare the ownership of the ranking of ontology made by individual user measurement [31] and [24] that insert user profiling for the input of similarity measurement.…”