Exploiting Semantic Technologies in Smart Environments and Grids: Emerging Roles and Case Studies

Semantic technologies are currently spreading across several application domains as a reliable and consistent mean to address challenges related to organization, manipulation, visualization and exchange of data and knowledge. Different roles are actually played by these techniques depending on the application domain, on the timing constraints, on the distributed nature of applications, and so on. This paper provides an overview of the roles played by semantic technologies in the domain of smart grids and smart environments, with a particular focus on changes brought by such technologies in the adopted architectures, programming techniques and tools. Motivations driving the adoption of semantics in these different, but strictly intertwined, fields are introduced using a strong application-driven perspective. Two real-world case studies in smart grids and smart environments are presented to exemplify the roles covered by such technologies and the changes they fostered in software engineering processes. Learned lessons are then distilled and future adoption scenarios discussed

Knowledge and Artifact Representation in the Scientific Lifecycle

This thesis introduces SKOs (Scientific Knowledge Object) a specification for capturing the knowledge and artifacts that are produced by the scientific research processes. Aiming to address the current existing limitations of scientific production this specification is focused on reducing the work overhead of scientific creation, being composable and reusable, allow continuous evolution and facilitate collaboration and discovery among researchers. To do so it introduces four layers that capture different aspects of the scientific knowledge: content, meaning, ordering and visualization

Corpus-Based Approaches to Figurative Language: Metaphor and Austerity

Austerity is a by-product of the ongoing financial crisis. As Kitson et al (2001) explain, what was a \u201cNICE\u201d (\u2018non-inflationary consistent expansion\u2019) economy has turned \u201cVILE\u201d (\u2018volatile inflation, little expansion\u2019), and the economic and social fall-out is now becoming visible. Unemployment, redundancy, inflation, recession, insecurity, and poverty all loom, causing governments, businesses and individuals to reevaluate their priorities. A changing world changes attitudes, and the earliest manifestations of such change can often be found in figurative language. Political rhetoric attempts to sweeten the bitter pill that nations have no choice but to swallow; all are invited to share the pain, make sacrifices for the common good, and weather the storm. But more sinister undertones can also be perceived. In times of social and financial dire straits, scapegoats are sought and mercilessly pursued in the press. The elderly, unemployed, and disabled are under fire for \u201csponging off the state\u201d; and as jobs become scarcer and the tax bill rises, migrant populations and asylum seekers are viewed with increasing suspicion and resentment. Calls for a \u201cbig society\u201d fall on deaf ears. Society, it seems, is shrinking as self-preservation takes hold. Austerity is a timely area of study: although austerity measures have been implemented in the past, most of the contributions here address the current political and economic situation, which means that some of the studies reported are work in progress while others look at particular \u201cwindows\u201d of language output from the recent past. Whichever their focus, the papers presented here feature up-to-the-minute research into the metaphors being used to comment upon our current socioeconomic situation. The picture of austerity that emerges from these snapshots is a complex one, and one which is likely to be developed further and more widely in the coming future

Abstract syntax as interlingua: Scaling up the grammatical framework from controlled languages to robust pipelines

Syntax is an interlingual representation used in compilers. Grammatical Framework (GF) applies the abstract syntax idea to natural languages. The development of GF started in 1998, first as a tool for controlled language implementations, where it has gained an established position in both academic and commercial projects. GF provides grammar resources for over 40 languages, enabling accurate generation and translation, as well as grammar engineering tools and components for mobile and Web applications. On the research side, the focus in the last ten years has been on scaling up GF to wide-coverage language processing. The concept of abstract syntax offers a unified view on many other approaches: Universal Dependencies, WordNets, FrameNets, Construction Grammars, and Abstract Meaning Representations. This makes it possible for GF to utilize data from the other approaches and to build robust pipelines. In return, GF can contribute to data-driven approaches by methods to transfer resources from one language to others, to augment data by rule-based generation, to check the consistency of hand-annotated corpora, and to pipe analyses into high-precision semantic back ends. This article gives an overview of the use of abstract syntax as interlingua through both established and emerging NLP applications involving GF

EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020

Welcome to EVALITA 2020! EVALITA is the evaluation campaign of Natural Language Processing and Speech Tools for Italian. EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC, http://www.ai-lc.it) and it is endorsed by the Italian Association for Artificial Intelligence (AIxIA, http://www.aixia.it) and the Italian Association for Speech Sciences (AISV, http://www.aisv.it)