With the the web of data, the semantic web can be an empirical science. Two problems have to be dealt with. The knowledge soup problem is about semantic heterogeneity, and can be considered a difficult technical issue, which needs appropriate transformation and inferential pipelines that can help making sense of the different knowledge contexts. The knowledge boundary problem is at the core of ...

Semantic technologies, such as RDF (Resource Description Framework) and OWL (Web Ontology Language), are being widely used to store information. Ontology is mostly used in semantic platforms or embedded in other applications as a repository system. Data is the most crucial asset of information systems, and ontology can be used as a data repository, so it should be well protected. Trust, proof a...

The Semantic Grid initiative aims to exploit knowledge in the Grid to increase the automation, interoperability and flexibility of Grid middleware and applications. To bring a principled approach to developing Semantic Grid Systems, and to outline their core capabilities and behaviors, we have devised a reference Semantic Grid Architecture called S-OGSA. We present the implementation of an S-OG...

Similarity is the key notion underlying many contemporary theories about the representation of meaning through words or concepts. However, these representations are strongly colored by the kind of information captured by various semantic measures. In this paper we present a systematic comparison of human similarity judgments and calculated similarity coefficients from different sources of seman...

Model-driven development is a software development framework that emphasises modelbased abstraction and automated code generation. Service-based software architectures benefit in particular from semantic, ontology-based modelling. We present ontology-based transformation and reasoning techniques for layered semantic service architecture modelling. Integrated ontological layers support abstract ...

tarikh-e jahangosha is the most important work about kharazmshahian and the mongols. utilising imagery, rhetoric, abundant persian and arabic poems, quranic verses and traditions, and proverbs have caused the prose to resemble poetry, fading its historical goals. here, quoting verses from the mythological parts of shahnameh, rostam and sohrab stories (37verses), and rostam and esfandiar (26 ver...

Giving a formal semantic to an UML Activity diagram (UML AD) is a hard task. The reason of this difficulty is the ambiguity and the absence of a precise formal semantic of such semi-formal formalism. A variety of semantics exist in the literature having tackled the aspects covered by this language. We can give as example denotational, functional and compositional semantics. To cope with the rec...

After years of research and development, standards and technologies for semantic data are sufficiently mature to be used as the foundation of novel data science projects that employ semantic technologies in various application domains such as bio-informatics, materials science, criminal intelligence, and social science. Typically, such projects are carried out by domain experts who have a conce...

To realize sharing and reuse of sensor data and improve interoperability, semantic sensor web (SSW) is proposed to add semantic information to existing sensor networks by utilizing domain, spatial and temporal anthologies and other related semantic technology. This paper presents state of the art of SSW from various aspects from the basic concepts, characters of SSW and the core technologies of...

The Semantic Grid reference architecture, S-OGSA, includes semantic provisioning services that are able to produce semantic annotations of Grid resources, and semantically aware Grid services that are able to exploit those annotations in various ways. In this paper we describe the dynamic aspects of S-OGSA by presenting the typical patterns of interaction among these services. A use case for a ...