Online service search based on multi-dimensional semantic service model

With the exploding of Internet information, semantic technologies are proposed to help people find what they want. Semantic search requires domain-oriented ontology and user-defined workflow to process online data. Mostly, semantic search are focus on user query optimization. The semantic of online data is usually considered less than the domain ontology to processing query, and the search targets are mostly online service. Modeling approaches are required by semantic search to find and process online data in certain business scenario. So we proposed to build online services' semantics from its' application level, business level and information level. These semantic aspects of the service semantic are used to enhance the smartness by application semantic and business semantic. Concept semantic is for optimizing accuracy and precision when querying online service combined with the domain ontology. In this paper, the related concepts and implementation framework of the multi-dimension service modeling are applied in a travel application for user customize their journey to enhance the smartness, accuracy and precision.

[1]  Junho Choi,et al.  Travel Ontology for Intelligent Recommendation System , 2009, 2009 Third Asia International Conference on Modelling & Simulation.

[2]  Yu Huang,et al.  An Intelligent Ontology and Bayesian Network Based Semantic Mashup  for Tourism , 2008, 2008 IEEE Congress on Services - Part I.

[3]  Xuerong Gou,et al.  The research of Chinese word segmentation strategy in educational resources search engine based on lucene , 2011 .

[4]  Jorge J. Gómez-Sanz,et al.  Mobile Tourist Guide Services with Software Agents , 2004, MATA.

[5]  Yinsheng Li,et al.  Multi-dimension semantic dictionary for online intelligence , 2011, Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD).

[6]  Alejandro Bellogín,et al.  A multilayer ontology-based hybrid recommendation model , 2008, AI Commun..

[7]  Xuesong Qiu,et al.  An improved method for measuring concept semantic similarity combining multiple metrics , 2013, 2013 5th IEEE International Conference on Broadband Network & Multimedia Technology.

[8]  Cai Bo,et al.  Design and Development of Semantic-Based Search Engine Model , 2014, 2014 7th International Conference on Intelligent Computation Technology and Automation.

[9]  A. I. Saleh,et al.  Toward SWSs Discovery: Mapping from WSDL to OWL-S Based on Ontology Search and Standardization Engine , 2013, IEEE Transactions on Knowledge and Data Engineering.

[10]  G. P. Kuntarto,et al.  Dwipa search engine: When E-tourism meets the semantic web , 2012, 2012 International Conference on Advanced Computer Science and Information Systems (ICACSIS).