PROMISE

PROMISE: Partecipative Research labOratory for Multimedia and Multilingual Information Systems

PROMISE will provide a virtual laboratory for conducting participative research and experimentation to carry out, advance and bring automation into the evaluation and benchmarking of such complex information systems, byfacilitating management and offering access, curation, preservation, re-use, analysis, visualization, and mining of the collected experimental data. PROMISE will:

• foster the adoption of regular experimental evaluation activities; 
• bring automation into the experimental evaluation process; 
• promote collaboration and re-use over the acquired knowledge-base; 
• stimulate knowledge transfer and uptake.

PROMISE Facts

• Network of Excellence co-funded by 7th Framework Program of the Europen Commission, grant agreement no. 258191
• Coordinated by the University of Padua 
• 10 partners from 7 countries 
• Sept 2010 - Aug 2013 (36 months)

Project Webpage:

CULTURA

CULTURA : CULTivating Understanding and Research through Adaptivity

CULTURA's innovative adaptive services and interactive environment will offer genuine user empowerment and unprecedented levels of engagement with digital cultural heritage collections and communities

A key challenge facing curators and providers of digital cultural heritage across Europe and Worldwide is to instigate, increase and enhance engagement with digital humanities collections. To achieve this, a fundamental change in the way cultural artefacts are experienced and contributed to by communities is required. CULTURA will pioneer the development of next generation adaptive systems which will provide new forms of multi-dimensional adaptivity:

• personalised information retrieval and presentation which respond to models of user and contextual intent
• community-aware adaptivity which responds to wider community activity, interest, contribution and experience
• content-aware adaptivity which responds to the entities and relationships automatically identified within the artefacts and across collections
• personalised dynamic storylines which are generated across individual as well as entire collections of artefacts
  

CULTURA advances and integrates the following key technologies:

• Cutting edge natural language processing, which normalises ambiguities in noisy historical texts
• Entity and relationship extraction, which highlights the key individuals, events, dates and other entities and relationships within unstructured text
• Social network analysis of the entities and relationships within the content, and also of the individuals and broader community of users engaging with the content
• Multi-model adaptivity to support dynamic reconciliation of multiple dimensions of personalisation.
  

CULTURA will deliver innovative adaptive services and an interactive user environment which dynamically tailors the investigation, comprehension and enrichment of digital humanities artefacts and collections. Through the provision of such functionality, CULTURA can empower all users to investigate, comprehend and contribute to digital cultural collections.CULTURA will provide rigorous evaluation and validation of its adaptive services using high impact, contrasting, multicultural digital cultural heritage collections and diverse user communities and individuals. The CULTURA use cases, defined in collaboration with real users, will clearly illustrate how the adaptive environment will offer genuine user empowerment and unprecedented levels of engagement with these collections and communities.

The CULTURA consortium has a strong emphasis on meeting real end-user needs, maximising societal impact and laying a foundation for successful commercialisation. Thus, the project has a strong scientific foundation, informed by two significant digital cultural resources and associated communities, and supported by experienced and effective project management.

 Project Webpage:

http://www.cultura-strep.eu/

QONTEXT

QONTEXT: Quantum Contextual Information Access and Retrieval

EU 7FP Marie Curie IRSES Project No. 247590

The huge number and diversity of the users, the advertising products and services, the rapid growth of online resources have imposed new challenges to the conventional search. Queries are becoming even more broad and complex essentially due to context of the search process (e.g. the system, user, language, the word and action meaning, socio-psychological dimensions, interface and interaction methods). Over the past three decades, the research in Information Access and Retrieval (IAR) had led to various search engine models, such as vector space and probabilistic models. Unfortunately there has been no comprehensive investigation at the theoretical level for effectively integrating elements of context to create advanced search technology. The key issue preventing such research is a lack of a unified theoretical framework to seamlessly integrate the dimensions of context into the search engine models and into the evaluation protocols. This proposal is hinged on the belief that the dimensions of context can be naturally integrated into a generic and fundamental framework. To address the challenges of the dimensions of context in IAR this proposal shows a new vision of the IAR paradigm based on Quantum Theory (QT). This proposal starts from Van Rijsbergen’s seminal book. QT allows to measure relevance and context via projection, and probability of relevance via the trace, to logically reason through lattice of document structures and links, to change context via unitary operators, to handle correlations dependencies as density operators, to represent composite, entangled documents and features for which classical correlations cannot straightforwardly be used. The work independently done so far for some years by the partners suggest that more effective results can be obtained only if the expertises are exchanged through a network which would allow the partners to work together and exchange a wide range of expertises which is hardly possessed by a single team.

 Project Webpage:

http://qontext.dei.unipd.it/

Cimbrian as a test case for synchronic and diachronic language variation

Cimbrian as a test case for synchronic and diachronic language variation
Proposals for implementing the ASIt (Syntactic Atlas for Italy)

A project to collect, digitize and tag linguistic data from Cimbrian varieties spoken in the Northeast of Italy

This project is co-financed by the Fondazione Cariverona (Bando 2008 - Link).

The goal of this project is to collect, digitize and tag linguistic data from the German variety of Cimbrian, spoken in the so called Tredici Comuni (provincia di Verona), Sette Comuni (provincia di Vicenza) and in Lusern/a (provincia di Trento).

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