Conference Paper

SemAI: A Novel Approach for Achieving Enhanced Semantic Interoperability in Public Policies

One of the key elements in several application domains, such as policy making, addresses the scope of achieving and dealing with the very different formats, models and languages of data. The amount of data to be processed and analyzed in modern governments, organizations and businesses are staggering, thus Big Data analysis is the mean that helps organizations to harness their data and to identify new opportunities

Wednesday, 28 July, 2021 - 11:49
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Journal Paper

Parallel query processing in a polystore

The blooming of different data stores has made polystores a major topic in the cloud and big data landscape. As the amount of data grows rapidly, it becomes critical to exploit the inherent parallel processing capabilities of underlying data stores and data processing platforms. To fully achieve this, a polystore should: (i) preserve the expressivity of each data store’s native query or scripting language and (ii) leverage a distributed architecture to enable parallel data integration, i.e. joins, on top of parallel retrieval of underlying partitioned datasets.

Wednesday, 3 February, 2021 - 07:36
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Conference Paper

An Evaluation of Neural Machine Translation and Pre-trained Word Embeddings in Multilingual Neural Sentiment Analysis

One of the main elements in several application domains, such as policy making, addresses the scope of public opinion analysis. The latter is recently realized through sentiment analysis and Natural Language Processing, for identifying and extracting subjective information from raw texts. An additional challenge refers to the exploitation and correlation of data from different languages, in order to analyse sentiments by considering all available information in a holistic way.

Sunday, 20 December, 2020 - 07:23
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AIAI2020 Policy Cloud PowerPoint

Conference Paper

PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management

While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models. Diverse and heterogeneous datasets are being generated from various sources, which could be utilized across the complete policies lifecycle (i.e. modelling, creation, evaluation and optimization) to realize efficient policy management.

Sunday, 5 July, 2020 - 10:37
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