In geographic information science and semantics, the computation of semantic similarity is widely recognised as key to supporting a vast number of tasks in information integration and retrieval. By contrast, the role of geosemantic relatedness has been largely ignored. In natural language processing, semantic relatedness is often confused with the more specific semantic similarity. In this arti...

This paper outlines a new method for estimating the visual saliency different areas displayed on a web page. Latent Semantic Analysis is used to calculate Semantic Fields values for any (x, y) coordinate point on a web page based on the structure of that web page. These Semantic Field values were then used to predict eye-tracking data that was collected from 49 participants’ goal-orient search ...

Gurdas Singh, Dr. Jaiteg Singh Regional Institute of Management and Technology (RIMT), Mandi Gobindgarh, Punjab, INDIA. Associate Professor, Department of Computer Applications, Chitkara University Punjab, INDIA. _______________________________________________________________________________________ ABSTRACT: Semantic Web ontologies are extensively used to drive Decision Support System, Data In...

Semantic similarity is a central concept that extends across numerous fields such as artificial intelligence, natural language processing, cognitive science and psychology. Accurate measurement of semantic similarity between words is essential for various tasks such as, document clustering, information retrieval, and synonym extraction. We propose a novel model of semantic similarity using the ...

Although a great of achievements have been obtained in smart home fields in recent years, there are still two fatal drawbacks. First the smart home system cannot really understand itself; second the system is hard to modify if some of the devices have been changed. By given inspiration from the semantic web, we integrate the semantic character into our smart home system and create an ontology b...

The semantic grid is the result of semantic web and grid researchers building bridges in recognition of the shared vision and research agenda of both fields. This paper builds on prior experiences with both agents and grids to illustrate the benefits of bringing agents into the mix. Because semantic grids represent and reason about knowledge declaratively, additional capabilities typical of age...

Integration and exchange of information across the Internet is a universally recognized need, in a wide variety of domains. New promising application fields such as Semantic Web Services can improve the integration process in the Web, dealing with the major difficulty of the semantic heterogeneity in the resources, by means of domain ontologies. In this research, we propose an integration syste...

This paper presents the MIRACLE’s team approach to text-based image retrieval at ImageCLEF 2005 adhoc task. The experiments defined this year try to use semantic information sources, like semantic dictionaries or text structure. For this purpose EuroWordnet has been considered and a new algorithm to extract synonyms from the semantic database has been developed. This new algorithm implementatio...

The increased availability and robustness of sensors, the wide-spread use of the internet as a communication environment and the intensified adoption of semantic technologies foster the vision of embedding intelligence in physical objects. The race of realizing this vision is pervasive to a variety of research fields, most notably ambient intelligence and semantic web, and leads to the prolifer...

Semantic Web Services are the key technology providing services for the users’ convenience in the semantic web environment. Many companies in various fields are researching and developing languages for constructing Semantic Web Services such as DAML-S, WSDL, X-LANG and BPEL4WS. DAML-S is a method that accesses the existing Web Service method from a semantic web environment. However, the current...