SENSE4US Newsleter Issue 8 | February 2016 | Trouble reading this message? Read it online
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Editorial |
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SENSE4US project welcomes the New Year 2016 with the current newsletter winter issue and wishes to all its readers lots of health, happiness and prosperity throughout the year!
2015 ended with the internal review of the project and with the evaluation of the work done. New goals have been set for the year ahead and partners’ work efforts will be focused on the user interface finalisation and the wider engagement of end users to the project with the organisation of specific events for them that will be announced soon!
The current issue presents the project news of the last months, two events which SENSE4US partners attended presenting the project and a paper related to SENSE4US. Some interesting news is also part of this issue along with some upcoming events that you may be interested to attend. The last part of the current newsletter is dedicated to 13 publications written by SENSE4US partners focusing on various issues related to the project.
If you have any comments or suggestions, we will be more than glad to receive them, so please feel free to contact us at: This email address is being protected from spambots. You need JavaScript enabled to view it.
Enjoy the reading and we send you our best wishes for a Happy New Year!
The SENSE4US Dissemination and Communication Team |
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Project news |
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SENSE4US presented at eChallenges 2015 Conference, 25th-26th November 2015, Vilnius, Lithuania |
This was the twenty-fifth in a series of annual technology research conferences supported by the European Commission and hosted by national governments. eChallenges attracts participation from senior representatives of leading government, industry and research organisations around the world.
eChallenges e-2015 provided an international forum to foster ICT related entrepreneurship and innovation, share experiences, increase awareness of innovative applied ICT applications and research results, and identify opportunities for research collaboration under Horizon 2020, in the context of the new Work Programme for 2016 - 2017.
Dr Steve Taylor, SENSE4US project coordinator, participated in eChallenges conference this year and presented an interesting paper written by himself and project partners, namely Timo Wandhofer, Ruth Fox, and Rasa Uzdavinyte. The paper describes the initial creation and evaluation of a web-based toolkit that comprises different types of information retrieval and analysis tools, specifically intended to help research for policy makers in governmental and legislative institutions. The major focus of this paper concerns issues arising from the usage of the toolkit by its target user community. A deluge of information available in the Internet and whether search results can be trusted are key important themes. There is also the challenge of “unknown unknowns” – relevant information exists that the policy maker simply does not know about, so there is no way of even beginning to search for it. The paper discusses how these challenges can be met. |
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SENSE4US participated at the “Digital Values: Advancing Technology, Preserving Fundamental Rights” event, 18th January 2016, Microsoft Center, Brussels |
Our project partner from Gov2u, Rasa Uzdavinyte, attended the “Digital Values: Advancing Technology, Preserving Fundamental Rights” event from 12.30 to 17.00pm on the 18th of January in Brussels representing SENSE4US. |
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Interesting news |
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Latvia’s authorities meet open technologists |
The smart city activities of Riga and the intelligent transport systems devised by Latvia’s state road department are two of the many topics in the “Open Technologies and Smart Solutions” conference. The meeting on 28 January was organised by Latvia’s Open Technology Association (LATA).
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EC brings pan-European open data together on European Data Portal |
On November 16, the European Commission launched the European Data Portal, which will serve as a central gateway to data published by administrations in countries across Europe, from the EU and beyond. Currently over 240,000 datasets from 34 European countries can be accessed through thirteen different categories and a multi-language search function.
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UK Open Government Network after one year: 600 members and counting |
After one year, the UK Open Government Forum now has over 600 members. The platform was established by Involve in November 2014 on behalf of the UK Open Government Network (OGN). It aims to help coordinate work on the Open Government Partnership (OGP), and build and support the open government movement in the UK.
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Upcoming events |
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February 2016 |
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March 2016 |
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Relevant publications |
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V. Fionda, G. Pirrò, C. Gutierrez (2015), “NautiLOD: A Formal Language for the Web of Data Graph”, Journal: ACM Transactions on the Web |
This paper defines a declarative navigational language for the Web of Linked Data graph called N AUTI LOD. N AUTI LOD enables to specify datasources via the intertwining of navigation and querying capabilities.
Read the publication
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V. Fionda, G. Pirrò, M. Consens (2015), “Extended Property Paths: Writing More SPARQL Queries in a Succinct Way” |
This paper introduces a significant enhancement of SPARQL property paths, called extended property paths and was presented at the 29th Conference on Artificial Intelligence (AAAI), Austin, Texas, USA.
Read the publication |
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C.Sarasua (2015), “Programmatic Access to Crowdsourced Human Computation for Designing and Enhancing Interlinking”, Proceedings of the ESWC Developers Workshop 2015
co-located with the 12th Extended Semantic Web Conference (ESWC 2015) |
This paper describes a crowd-powered approach to knowledge integration, which aims at supporting data publishers in designing new interlinking processes, as well as validating and enhancing automatically computed links.
Read the publication |
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C. Sarasua, M. Thimm (2014), “Crowd Work CV: Recognition for Micro Work”, Proceedings of the 3rd International Workshop on Social Media for Crowdsourcing and Human Computation (SoHuman'14) |
This paper describes the concept of a crowd worker CV that enables the representation of crowd sourcing agents’ identities and promotes their work experience across the different microtask marketplaces.
Read the publication |
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G. Pirrò (2015), “Explaining and Suggesting Relatedness in Knowledge Graphs”, 14th International Semantic Web Conference |
In this paper, the author formalizes explanations for the relatedness of entities in knowledge bases as well as criteria for building such explanations.
Read the publication |
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O. Hartig, G. Pirrò (2015), “A Context-Based Semantics for SPARQL Property Paths over the Web”, European Semantic Web Conference (ESWC), May 31th, 2015 to June, 4th, 2015 in Portoroz, Slovenia |
This paper introduces a query language and semantics to evaluate SPARQL property paths over the Web.
Read the publication |
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Hassan Saif, Yulan He, Miriam Fernandez and Harith Alani (2014), “Semantic Patterns for Sentiment Analysis of Twitter”, 13th International Semantic Web Conference (ISWC), 19-23 October 2014, Riva del Garda, Trentino Italy |
Sentiment is often implicitly expressed via latent semantic relations, patterns and dependencies among words in tweets. In this paper, we propose a novel approach that automatically captures patterns of words of similar contextual semantics and sentiment in tweets.
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Amparo Elisabeth Cano, Yulan He, Harith Alani (2014), “Stretching the Life of Twitter Classifiers with Time-Stamped Semantic Graphs”, 13th International Semantic Web Conference (ISWC), 19-23 October 2014, Riva del Garda, Trentino Italy |
In this paper we propose a novel transfer learning approach to address the classification task of new data when the only available labeled data belong to a previous epoch. This approach relies on the incorporation of knowledge from DBpedia graphs. Our findings show promising results in understanding how features age, and how semantic features can support the evolution of topic classifiers.
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Hassan Saif, Miriam Fernandez and Harith Alani (2014), “Automatic Stopwords Generation using Contextual Semantics for Sentiment Analysis of Twitter”, 13th International Semantic Web Conference (ISWC), 19-23 October 2014, Riva del Garda, Trentino Italy |
In this paper we propose a semantic approach to automatically identify and remove stopwords from Twitter data. Unlike most existing approaches, which rely on outdated and context-insensitive stopword lists, our proposed approach considers the contextual semantics and sentiment of words in order to measure their discrimination power.
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Hassan Saif, Miriam Fernandez, Yulan He and Harith Alani (2014), “Contextual semantics for sentiment analysis of Twitter”, Information Processing & Management (available online on March 7th, 2015) |
Sentiment analysis on Twitter has attracted much attention recently due to its wide applications in both, commercial and public sectors. In this paper we present SentiCircles, a lexicon-based approach for sentiment analysis on Twitter. Different from typical lexicon-based approaches, which offer a fixed and static prior sentiment polarities of words regardless of their context, SentiCircles takes into account the co-occurrence patterns of words in different contexts in tweets to capture their semantics and update their pre-assigned strength and polarity in sentiment lexicons accordingly. Our approach allows for the detection of sentiment at both entity-level and tweet-level. We evaluate our proposed approach on three Twitter datasets using three different sentiment lexicons to derive word prior sentiments.
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Hassan Saif, Javier Ortega, Miriam Fernandez, Ivan Cantador (2015), “Sentiment Analysis in Social Streams” |
In this chapter we review and discuss the state of the art on sentiment analysis in social streams –such as web forums, micro-blogging systems, and social networks–, aiming to clarify how user opinions, affective states, and intended emotional effects are extracted from user generated content, how they are modeled, and how they could be finally exploited. We explain why sentiment analysis tasks are more difficult for social streams than for other textual sources, and entail going beyond classic text-based opinion mining techniques.
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Aron Larsson, Osama Ibrahim (2015), “Modelling for Policy Formulation: Causal Mapping, Scenario Generation, and Decision Evaluation”, 14th IFIP Electronic Government (EGOV) and 7th Electronic Participation (ePart) Conference 2015, 30th August – 2nd September 2015, University of Macedonia, Thessaloniki, Greece |
In this paper we present a work process with associated operational research modeling and analysis tools for the policy formulation stage of the Lindblom policy cycle process model. The approach exploits the use of causal maps for problem structuring and scenario generation of policy options together with decision analysis for evaluating generated scenarios taking preferences of decision makers and stakeholders into account. The benefits of interest when exploiting this integrated modeling approach is to enable for; (i) problem structuring and facilitating understanding and communication of a complex policy problem, (ii) simulation of policy consequences and identification of a smaller set of policy options from a possible very large set of possible options, and (iii) structured decision evaluation of the generated alternative policy options.
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Claudia Ehrentraut, Osama Ibrahim, Hercules Dalianis (2015), “Text Analysis to Support Structuring and Modelling a Public Policy Problem-Outline of an Algorithm to Extract Inferences from Textual Data”, International Science Index, World Academy of Science, Engineering and Technology Humanities and Social Sciences, Vol:2, No:6 |
The objective behind this study is to support modelling of public policy problem situations, using text analysis of verbal descriptions of the problem. We propose a formal methodology for analysis of qualitative data from multiple information sources on a policy problem to construct a causal diagram of the problem.
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Published by www.gov2u.org
This
project has received funding from the European Union’s Seventh
Framework Programme for research, technological development and
demonstration under grant agreement no. 611242
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