Semantic Web supports a fire-new infrastructure for solving the problem of semantic information interoperability, and it promises to support an intelligent and automatic information-processing platform for multi-agent system whose ultimate objective is to provide better services for end-users, for example, interoperable information query. Therefore, except agent-to-agent interaction in multi-ag...

The requirement for a commonly accepted efficient mapping between multimedia metadata standards and semantic web-ontology standards is a major issue recognized by semantic multimedia research community. Though there have been several attempts to translate MPEG-7 audio descriptions to ontology languages there is very little literature that addresses issues associated with streaming video content...

In the extensive usage of ontologies envisaged by the Semantic Web there is a compelling need for expressing mappings between the components of heterogeneous ontologies. These mappings are of many different forms and involve the different components of ontologies. State of the art languages for ontology mapping enable to express semantic relations between homogeneous components of different ont...

Computational accounts have traditionally focused on mapping between structured representations as fundamental to analogical processing. However, a recent connectionist model has been used to argue that structured representations may not be necessary to solve verbal analogies. Green and colleagues (2010) have shown that brain areas associated with analogical mapping become more engaged as seman...

With the advent of Semantic Web, knowledge-based interoperability in VE faces a new technological shift, in which ontologies and semantic web technologies plays a major role. Exploiting the explicit semantic description of the domain of discourse allows reasoning and automatically acquiring semantic relations between two different domains of discourses. Such semantic relations would be further ...

WEN Min , TANG Xin-ming, SHI Shao-yu, WEN Jian-qiang and YAN Hao-wen Satellite Surveying and Mapping Application Center, SBSM Beijing, China Chinese Academy of Surveying and Mapping, Beijing, China Guangzhou Railway Group Corporation Yiyang, China Lanzhou Jiaotong University Lanzhou, China Abstract—To solve the problem of data-sharing between multi-source data for the reason of semantic heterog...

Despite impressive advances in simultaneous localization and mapping, dense robotic mapping remains challenging due to its inherent nature of being a high-dimensional inference problem. In this paper, we propose a dense semantic robotic mapping technique that exploits sparse Bayesian models, in particular, the relevance vector machine, for highdimensional sequential inference. The technique is ...

Ontology mapping is the key to data interoperability in the semantic web. This problem has received a lot of research attention, however, the research emphasis has been mostly devoted to automating the mapping process, even though the creation of mappings often involve the user. As industry interest in semantic web technologies grows and the number of widely adopted semantic web applications in...

Much data is published on the Web in XML format satisfying schemas, and to make the Semantic Web a reality, such data needs to be interpreted with respect to ontologies. Interpretation is achieved through a semantic mapping between the XML schema and the ontology. We present work on the heuristic construction of complex such semantic mappings, when given an initial set of simple correspondences...

Ontology mapping seeks to find semantic correspondences between similar elements of different ontologies. Ontology mapping is critical to achieve semantic interoperability in the WWW. Due to the fact that ubiquitous constraints (e.g., hierarchical restrictions in RDFS) caused by the characteristics of ontologies and their representations exist in ontologies, constraints satisfaction has become ...