Abstract. In this paper we explore the issue of transforming models to models, an essential part of the OMG's Model Driven Architecture (MDA) vision. Drawing from the literature and our experiences implementing a number of transformations using different technologies, we explore the strengths and weaknesses of the different technologies and identify requirements for a transformation language for performing the kind of model-to-model transformations required to realise the MDA vision.

In the 2000s, Russia was globally one of the top 5 countries with the highest levels of alcohol per capita consumption and prevailing risky patterns of drinking, i.e., high intake per occasion, high proportion of people drinking to intoxication, and high frequency of situations where alcohol is consumed and tolerated. In 2009, in response to these challenges, the Russian government formed the Federal Service for Alcohol Market Regulation and published a national strategy concept to reduce alcohol abuse and alcohol-dependence at the population level for the period 2010–2020. The objectives of the present contribution are to analyze the evidence base of the core components of the concept and to provide a comprehensive evaluation framework of measures implemented (process evaluation) and the achievement of the formulated targets (effect evaluation). Most of the concept’s measures were found to be evidence-based and aligned with eight out of 10 areas of the World Health Organization (WHO) policy portfolio. Out of the 14 tasks, 7 were rated as achieved, and 7 as partly achieved. Ten years after the concept’s adoption, alcohol consumption seems to have declined by about a third and alcohol is conceptualized as a broad risk factor for the population’s health in Russia.

No abstract

The MOF Query, View and Transformation RFP, issued by OMG will

This paper presents LORE (Literature Object Re-use and Exchange), a light-weight tool which is designed to allow literature scholars and teachers to author, edit and publish compound information objects encapsulating related digital resources and bibliographic records. LORE enables users to easily create OAI-ORE-compliant compound objects, which build on the IFLA FRBR model, and also enables them to describe and publish them to an RDF repository as Named Graphs. Using the tool, literary scholars can create typed relationships between individual atomic objects using terms from a bibliographic ontology and can attach metadata to the compound object. This paper describes the implementation and user interface of the LORE tool, as developed within the context of an ongoing case study being conducted in collaboration with AustLit: The Australian Literature Resource, which focuses on compound objects for teaching and research within the Australian literature studies community.

Abstract. This paper describes ongoing work within the Aus-e-Lit project at the University of Queensland to provide collaborative annotation tools for Australian Literary Scholars. It describes our implementation of an annotation framework to facilitate collaboration and sharing of annotations within research sub-communities. Using the annotation system, scholars can collaboratively select web resources and attach different types of annotations (comments, notes, queries, tags and metadata), which can be harvested to enrich the AustLit collection. We describe how rich semantic descriptions can be added to the constantly changing AustLit collection through a set of interoperable annotation tools based on the Open Annotations Collaboration (OAC) model. RDFa enables scholars to semantically annotate dynamic web pages and contribute typed metadata about the IFLA FRBR entities represented within the AustLit collection. We also describe how the OAC model can be used in combination with OAI-ORE to produce scholarly digital editions, and compare this approach with existing scholarly annotation approaches.

This paper describes the results of a collaborative effort that has reconciled the Open Annotation Collaboration (OAC) ontology and the Annotation Ontology (AO) to produce a merged data model [the Open Annotation (OA) data model] to describe Web-based annotations—and hence facilitate the discovery, sharing and re-use of such annotations. Using a number of case studies that include digital scholarly editing, 3D museum artifacts and sensor data streams, we evaluate the OA model’s capabilities. We also describe our implementation of an online annotation server that supports the storage, search and retrieval of OA-compliant annotations across multiple applications and disciplines. Finally we discuss outstanding problem issues associated with the OA ontology, and the impact that certain design decisions have had on the efficient storage, indexing, search and retrieval of complex structured annotations

This paper presents LORE (Literature Object Re-use and Exchange), a light-weight tool which is designed to allow literature scholars and teachers to author, edit and publish compound information objects encapsulating related digital resources and bibliographic records. LORE enables users to easily create OAI-ORE-compliant compound objects, which build on the IFLA FRBR model. It also enables them to describe and publish them to an RDF repository as Named Graphs. Using the tool, literary scholars can create typed relationships between individual atomic objects using terms from a bibliographic ontology and attach metadata to the compound object. This paper describes the implementation and user interface of the LORE tool, as developed within the context of an ongoing case study being conducted in collaboration with AustLit: The Australian Literature Resource, which focuses on compound objects for teaching and research within the Australian literature studies community