In the real world, the route with the shortest travel time in a road network is more meaningful than that with the shortest network distance for location-based services (LBS). However, not every LBS provider has adequate resources to compute/estimate travel time for routes by themselves. A cost-effective way for LBS providers to estimate travel time for routes is to issue external requests to W...

Semantic integration remains a serious challenge in the context of the Semantic Web. Current research aims to solve this issue through the development of ontology mapping processes. However, there is a lack of rules and guidance for the use of those processes. This paper introduces an ontology mapping framework which covers the entire ontology mapping process from mapping discovery to mapping e...

As a key factor to enable interoperability in the Semantic Web (Berners-Lee, Hendler & Lassila, 2001), ontologies are developed by different organisations at a large scale, also in overlapping areas. Therefore, ontology mapping has come into forth to achieve knowledge sharing and semantic integration in an environment where knowledge and information are represented by different underlying ontol...

Recently, there has been a growing need for integrating legacy relational databases with semantic web ontologies, however, experience in building such applications has revealed a gap between semantic web languages and relational data model. We present a formal mapping system to bridge the gap and study the problem of reasoning and query answering using view underlying the mapping system. Partic...

An ontology is an explicit specification of shared conceptualization. The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies, and is endorsed by the World Wide Web Consortium. The main operation on ontologies is to query them and to store them so as to answer queries efficiently. By mapping ontologies to relational databases, we can leverage t...

Although students could effectively search for web data with proper keywords and select web pages related to the studied core issue, however summarizing or organizing the retrieved information remains a difficult task for them. Concept mapping is known to be an effective knowledge construction tool for helping learners organize important concepts related to a core issue. To address the problem,...

Sensor Network has been widely used in all fields, and a large number of heterogeneous data is produced. In order to make these data shared and integrated semantically, semantic web technology is introduced in the sensor network. In this paper, we make a comprehensive survey about Semantic Sensor Web (SSW) from the perspective of ontology, mapping and query respectively. Firstly, we present sta...

In the last years, ontologies become more and more popular in the e-learning domain. Ontology alignment is important for building flexible adaptive or personalized E-Learning applications. Latest research in ontology mapping show that complex ontology mapping methods are needed for achieving good quality mappings. This paper analyzes the specific mapping requirements in ELearning domain and pro...

Remote sensing systems are critical tools used for characterizing the geological and ecological composition of the seafloor. However, creating comprehensive and detailed maps of ocean and coastal environments has been hindered by the high cost of operating ship- and aircraft-based sensors. While a number of groups (e.g., academic research, government resource management, and private sector) are...

Ontology mapping is seen as a solution provider in today’s landscape of ontology research. As the number of ontologies that are made publicly available and accessible on the Web increases steadily, so does the need for applications to use them. A single ontology is no longer enough to support the tasks envisaged by a distributed environment like the Semantic Web. Multiple ontologies need to be ...