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Ontologies are widely considered as the building blocks of the semantic web, and with them, comes the data interoperability issue. As ontologies are not necessarily always labelled in the same natural language, one way to achieve semantic interoperability is by means of cross-lingual ontology mapping. Translation techniques are often used as an intermediate(More)
This paper describes a semi-automated process, framework and tools for harvesting, assessing, improving and maintaining high-quality linked-data. The framework, known as DaCura 1 , provides dataset curators, who may not be knowledge engineers, with tools to collect and curate evolving linked data datasets that maintain quality over time. The framework(More)
There are emerging opportunities for distributed, composite services, based on the combination of smart homes, networked consumer devices, third-party services and social, geographical or commercial collaborations. However, current home-automation technology tends to focus on the single-home solution, rather than enabling home users can securely share and(More)
Ontologies are at the heart of knowledge management and make use of information that is not only written in English but also in many other natural languages. In order to enable knowledge discovery, sharing and reuse of these multilingual ontologies, it is necessary to support ontology mapping despite natural language barriers. This paper examines the(More)
Ontology-based knowledge management systems enable the automatic discovery, sharing and reuse of structured data sources on the semantic web. With the emergence of multilingual ontologies, accessing knowledge across natural language barriers has become a pressing issue for the multilingual semantic web. In this paper, a semantic-oriented cross-lingual(More)
Centralized semantic sensor network systems gradually show performance degradation as the scale of the sensor network increases. Thus systems based on distributed approaches with local, autonomous management features are urgently required. In order to achieve local autonomy, it is necessary to push semantics towards the edge of the sensor network, but this(More)
Autonomy, adaptability, scalability, and flexible communications are all attributes of agents and multi-agent systems which suggest that they may offer timely solutions for dealing with the growing complexity of the tasks of traffic control and resource management in telecommunications networks. However, if agent-based solutions to network management(More)
— Modern smart buildings utilize sensor networks for facilities management applications such as energy monitoring. However as buildings become progressively more embedded with sensor networks, the challenge of managing and maintaining the sensor networks themselves becomes ever more significant. As a cost-sensitive activity, facilities management(More)