Rubén Míguez

Instituto de Ciencia de Materiales de Madrid

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Preslav Nakov

Mohamed bin Zayed University of Artificial Intelligence

Luis Anido

Universidade de Vigo

Juan M. Santos-Gago

Universidade de Vigo

Alberto Barrón‐Cedeño

University of Bologna

Shaden Shaar

Qatar Airways (Qatar)

Giovanni Da San Martino

University of Padua

Alex Nikolov

Illinois Institute of Technology

Firoj Alam

Qatar Airways (Qatar)

Gautam Kishore Shahi

University of Duisburg-Essen

Julia Maria Struß

University of Applied Sciences Potsdam

Cooperative Institutions

Qatar University

Universidade de Vigo

Qatar Airways (Qatar)

Hamad bin Khalifa University

Amazon (United States)

Sofia University "St. Kliment Ohridski"

University of Washington

Saarland University

Indian Institute of Technology Delhi

University of Trento

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Using Web 2.0 Technologies in Early Care Settings - A Case Study: EscolasInfantis.net

Rubén Míguez Juan M. Santos-Gago Luis Anido

Net (polyhedron)

10.2316/p.2010.688-012

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Citations (1)

Semantic Enrichment of an ECEC Platform Knowledge Base

Victor A. Roris Rubén Míguez Juan M. Santos-Gago

In the last four years we have developed an ICT platform for Early Childhood Education and Care (ECEC) aimed to provide smart services mainly focused on creating a natural communication channel between families and educators. This paper briefly presents some strategies used to enrich the semantic data managed by this platform with information freely available on different Internet sources.

10.1109/icalt.2012.164

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Citations (0)

To Maximize Web Service Retrieval

2007 International Conference on Convergence Information Technology (ICCIT 2007) (2007)

Kyong-Ha Lee Rubén Míguez Susana Serrano Luis Anido Martín Llamas Nistal

Service discovery is the first crucial step to compose ser- vices for building a business process. Much effort, mainly classified into syntactic and semantic approaches, has been given to make the current Web service discovery more pre- cise and efficient. Semantic approach for Web services utilizes predefined concepts and relationships among their concepts to promise intelligent discovery. However, we be- lieve that current semantic approaches are not mature yet and they also should be on a syntactic foundation as well. Nevertheless, syntactic-based discovery still has limitation on their efficiency, e.g. a registry approach has limitation on their query capability and query scope. In addition, reg- istry enhancements and other syntactic studies based on IR techniques also have problems to measure similarity among structured service descriptions. In this paper, we propose a method to maximize the efficiency of syntactic-based ser- vice discovery . Our approach is for developing an efficient information retrieval technique for Web services on an off- the-shelf DBMS. It also has a feature to rank service simi- larity with their distinctive properties, which have not been carefully considered so far.

Service discovery

Scope (computer science)

Rank (graph theory)

10.1109/iccit.2007.303

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Citations (4)

Innovative Technologies for an Engaging Classroom. Discovering the best resources for my school

Society for Information Technology & Teacher Education International Conference (2013)

Luis Anido Agustín CAÑAS Juan M. Santos-Gago Manuel Caeiro Rodríguez Rubén Míguez

Best practice

Source

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The CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News

Lecture notes in computer science (2021)

Preslav Nakov Giovanni Da San Martino Tamer Elsayed Alberto Barrón‐Cedeño Rubén Míguez

Clef

Rank (graph theory)

Bulgarian

10.1007/978-3-030-72240-1_75

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Citations (73)

Factuality Challenges in the Era of Large Language Models

arXiv (Cornell University) (2023)

Isabelle Augenstein Timothy Baldwin Meeyoung Cha Tanmoy Chakraborty Giovanni Luca Ciampaglia

The emergence of tools based on Large Language Models (LLMs), such as OpenAI's ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention. These incredibly useful, natural-sounding tools mark significant advances in natural language generation, yet they exhibit a propensity to generate false, erroneous, or misleading content -- commonly referred to as "hallucinations." Moreover, LLMs can be exploited for malicious applications, such as generating false but credible-sounding content and profiles at scale. This poses a significant challenge to society in terms of the potential deception of users and the increasing dissemination of inaccurate information. In light of these risks, we explore the kinds of technological innovations, regulatory reforms, and AI literacy initiatives needed from fact-checkers, news organizations, and the broader research and policy communities. By identifying the risks, the imminent threats, and some viable solutions, we seek to shed light on navigating various aspects of veracity in the era of generative AI.

Generative model

10.48550/arxiv.2310.05189

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Citations (23)

Overview of the CLEF–2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection

Lecture notes in computer science (2022)

Preslav Nakov Alberto Barrón‐Cedeño Giovanni Da San Martino Firoj Alam Julia Maria Struß

Clef

Bulgarian

10.1007/978-3-031-13643-6_29

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Citations (26)

Semantic-Based Tool to Support Assessment and Planning in Early Care Settings

Lecture notes in computer science (2009)

Rubén Míguez Juan M. Santos-Gago Luis Anido

10.1007/978-3-642-04754-1_23

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Citations (1)

To Maximize Web Service Retrieval

2007 International Conference on Convergence Information Technology (ICCIT 2007) (2007)

Kyu-Chul Lee Rubén Míguez Susana Serrano Luis Anido Martín Llamas Nistal

Service discovery

Scope (computer science)

Rank (graph theory)

10.1109/iccit.2007.4420599

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Citations (1)

A holistic framework to support ICT-based early childhood education processes

Rubén Míguez Juan M. Santos-Gago Luis Anido

Modern societies have recently changed their point of view about childhood education. Nowadays, kindergarten teachers are not only responsible for children's upbringing but they complement the educational role of families at home. In this new educational scenario, families and teachers present novel demands as real-time information about centers and its services, tools to track children progress or recommend new activities, new ways of communication, etc. Integration of ICT tools can offer a solution to those demands. Some electronic devices and software applications are being applied to this educational domain. However, they are used in isolation, lacking integration mechanisms that would improve their efficiency. This paper proposes a holistic framework that provides a set of ICT-based services designed taking into consideration the distinctive features of early care settings. We present the main design guidelines of a standard-based Reference Architecture that fosters interoperability and convergence between diverse technologies and heterogeneous systems. The deployment of such a system, based upon Standards and Specifications for Learning Technologies, facilitates the development and integration of ICT tools. It supports early childhood education processes, encourages parents involvement and fosters the cooperation between families and practitioners.

Educational software

10.1109/fie.2009.5350515

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Citations (9)