The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
DBpedia is a huge dataset essentially extracted from the content and structure of Wikipedia. We present a new extraction producing a linked data representation of the editing history of Wikipedia pages. This supports custom querying and combining with other data providing new indicators and insights. We explain the architecture, representation and an immediate application to monitoring events.
The growing amount of information produced by automatic systems is often associated with the paradigm of Big Data. Next to this approach it remains the interest in integrating information of different origin within a shared framework, conceptually able to be formalized by an ontology. The IEC Common Information Model (CIM) is a natural candidate to take on the role of reference ontology in the electrical...
This paper shows how the European Odysseus project [6] reduces energy/CO2 by improved decision making based on multi-level, semantic, energy configuration/monitoring data fully based on open standards (W3C Linked Data approach / Semantic Web technology) and an open source semantic server (Apache Marmotta) implementing those standards.
Cloud businesses need comprehensive visibility on hardware and software components, their utilization and their configuration. In addition, they need to integrate such information with their asset management systems and publicly available information such as hardware specifications. In this paper, we present an approach for cloud management and monitoring based on a semantic layer that unifies different...
This paper describes how novel knowledge modeling and management techniques borrowed from the Semantic Web were exploited to publish data coming from Electromagnetic (EM) pollution monitoring to the Linked Data Cloud. The paper shows how, starting from requirements coming from the EM use case, the procedure of data publishing was carried out, with the support of public tools, shared standards and...
The Semantic Web is an important challenge for today's Web usage. The progressive transformation of the Web based on documents into the Web based on data will bring up a Web scale database. Given that the Enterprise Semantic Web is still a less explored subject, this article proposes an Implementation Model that helps the introduction of the technology and the evaluation of its' impact in the applications...
An increasingly important requirement for energy-efficient data center operation is to diagnose and fix thermal anomalies that sometimes occur due to excessive workload or equipment failures. Today, the task of diagnosing thermal anomalies entails expert but tedious analysis of data collected manually from disparate management systems. Our ultimate goal is to substantially reduce the time, tedium...
Integration of data from multiple sources makes it possible to build effective systems management solutions. Despite the expected benefits, data integration remains a challenge. Heterogeneity between data sources in terms of lack of an accepted common model, data semantics and access methods are among the difficulties. The goal of our research is to realize loosely coupled integration of data for...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.