Search results for "metadata"
showing 10 items of 117 documents
Context metadata to adapt Ambient Learning Environments
2008
Ambient learning and knowledge environments (ALKE) are a promising concept for new methods of learning and in particular adapted, personalized learning environments. However, currently very few approaches specify concepts for adaptation. We present a metadata approach to identify and (automatically) derive the context of learning environments as a basis for adaptation. The concept has been partially validated in a scenario of ldquoSpontaneous Group Learningrdquo in Higher Education.
CCD characterization and measurements automation
2012
Abstract Modern mosaic cameras have grown both in size and in number of sensors. The required volume of sensor testing and characterization has grown accordingly. For camera projects as large as the LSST, test automation becomes a necessity. A CCD testing and characterization laboratory was built and is in operation for the LSST project. Characterization of LSST study contract sensors has been performed. The characterization process and its automation are discussed, and results are presented. Our system automatically acquires images, populates a database with metadata information, and runs express analysis. This approach is illustrated on 55 Fe data analysis. 55 Fe data are used to measure …
Meta model of e-learning materials development
2014
The multitude of software tools is available for the creation of learning resources. However the majority of these tools provided by different software producers do not have a unified mechanism by means of which it would be possible to search and reuse the existing learning resources or their elements. To solve this problem the structures of descriptive data can be used. The aim of this paper is to describe a meta-model of e-learning objects and e-learning formats that could be used in the creation of e-learning materials compatible with various e-learning standards. The meta-data models that are used in widely-known learning resourcesâ repositories and their structureâs metadata standa…
An empirical study of recommendations in OLAP reporting tool
2015
This paper presents the results of the experimental study that was performed in laboratory settings in the context of the OLAP reporting tool developed and put to operation at the University. The study was targeted to explore which of the modes for generating recommendations in the OLAP reporting tool has a deeper impact on users (i.e. produces more accurate recommendations). Each of the modes of the recommendation component â report structure, user activity, and semantic â employs a separate content-based method that takes advantage of OLAP schema metadata and aggregate functions. Gained data are assessed (i) quantitatively by means of the precision/recall and other metrics from the lo…
The MoSGrid Science Gateway – A Complete Solution for Molecular Simulations
2014
The MoSGrid portal offers an approach to carry out high-quality molecular simulations on distributed compute infrastructures to scientists with all kinds of background and experience levels. A user-friendly Web interface guarantees the ease-of-use of modern chemical simulation applications well established in the field. The usage of well-defined workflows annotated with metadata largely improves the reproducibility of simulations in the sense of good lab practice. The MoSGrid science gateway supports applications in the domains quantum chemistry (QC), molecular dynamics (MD), and docking. This paper presents the open-source MoSGrid architecture as well as lessons learned from its design.
Content Management in Organizations
2005
Content management may be characterized as “a variety of tools and methods that are used together to collect, process, and deliver content of diverse types” (McIntosh, 2000, p. 1). At least three differing approaches on content management may be identified: 1) Web content management, 2) Document management, and 3) Utilization of structured documents.
Managing Converging Content in Organizations
2009
Content management is essential for organizational work. It has been defined as “a variety of tools and methods that are used together to collect, process, and deliver content of diverse types” (McIntosh, 2000, p. 1). Content management originates from document management. In fact, a great deal of contemporary content management system functionality has evolved from document management systems. Documents are identifiable units of content, flexibly structured for human comprehension (Murphy, 2001; Salminen, 2003). They have traditionally been considered as containers for organizational content. Document management considers the creation, manipulation, use, publishing, archiving, and disposal…
Integrated Domain Model for Digital Rights Management
2004
Digital Rights Management (DRM) is an issue of controlling and managing digital rights over intellectual property. It has recently broadened its scope from being merely a content protection concern to description, identification, trading, protection, monitoring and tracking of rights over tangible or intangible assets. In our study we found out an essential problem of the domain: lack of models on an appropriate level of abstraction needed to support research and system development. Modelling, identifying and describing the core entities enable the rights management functionalities. This chapter contributes in recognizing the principal entities and providing detailed description on current …
Analysing Requirements for Content Mangement
2006
The content to be managed in organisations is in textual or multimedia formats. Major part of the content is, however, stored in documents. In order to find out the needs of the people and organisations producing and using the content a profound requirements analysis is needed. In the paper, a novel method for the requirements analysis for content management purposes is introduced. The method combines different techniques from two existing methods, which were used in various content management development projects. The paper also describes a case study where the new method is exploited.
Change Discovery in Heterogeneous Data Sources of a Data Warehouse
2020
Data warehouses have been used to analyze data stored in relational databases for several decades. However, over time, data that are employed in the decision-making process have become so enormous and heterogeneous that traditional data warehousing solutions have become unusable. Therefore, new big data technologies have emerged to deal with large volumes of data. The problem of structural evolution of integrated heterogeneous data sources has become extremely topical due to dynamic and diverse nature of big data. In this paper, we propose an approach to change discovery in data sources of a data warehouse utilized to analyze big data. Our solution incorporates an architecture that allows t…