Onsetsu hyoki no kyotsusei ni motozuita Ajia moji nyuryoku intafesu ni kansuru kenkyu

制度:新 ; 報告番号:甲3450号 ; 学位の種類:博士(国際情報通信学) ; 授与年月日:2011/10/26 ; 早大学位記番号:新577

Toponym Disambiguation in Information Retrieval

In recent years, geography has acquired a great importance in the context of Information Retrieval (IR) and, in general, of the automated processing of information in text. Mobile devices that are able to surf the web and at the same time inform about their position are now a common reality, together with applications that can exploit this data to provide users with locally customised information, such as directions or advertisements. Therefore, it is important to deal properly with the geographic information that is included in electronic texts. The majority of such kind of information is contained as place names, or toponyms. Toponym ambiguity represents an important issue in Geographical Information Retrieval (GIR), due to the fact that queries are geographically constrained. There has been a struggle to nd speci c geographical IR methods that actually outperform traditional IR techniques. Toponym ambiguity may constitute a relevant factor in the inability of current GIR systems to take advantage from geographical knowledge. Recently, some Ph.D. theses have dealt with Toponym Disambiguation (TD) from di erent perspectives, from the development of resources for the evaluation of Toponym Disambiguation (Leidner (2007)) to the use of TD to improve geographical scope resolution (Andogah (2010)). The Ph.D. thesis presented here introduces a TD method based on WordNet and carries out a detailed study of the relationship of Toponym Disambiguation to some IR applications, such as GIR, Question Answering (QA) and Web retrieval. The work presented in this thesis starts with an introduction to the applications in which TD may result useful, together with an analysis of the ambiguity of toponyms in news collections. It could not be possible to study the ambiguity of toponyms without studying the resources that are used as placename repositories; these resources are the equivalent to language dictionaries, which provide the di erent meanings of a given word.Buscaldi, D. (2010). Toponym Disambiguation in Information Retrieval [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/8912Palanci

IENE 2020 International Conference LIFE LINES – Linear Infrastructure Networks with Ecological Solutions. Abstract Book

In the past 12 to 14 of January 2021, the University of Évora, in the framework of the LIFE LINES project, and the Infrastructure and Ecology Network Europe held the online event IENE International Conference, under the theme “LIFE LINES – Linear Infrastructure Networks with Ecological Solutions”. We had 293 attendees from 40 different countries representing the five continents. During three days, participants were able to assist to 115 full oral presentations, 36 lightning talks, 13 workshops and chat with 40 posters authors, representing studies and projects worldwide. The event counted with 50 thematic sessions, running in five parallel sessions mixing live and pre-recorded interventions

Translation Alignment Applied to Historical Languages: methods, evaluation, applications, and visualization

Translation alignment is an essential task in Digital Humanities and Natural Language Processing, and it aims to link words/phrases in the source text with their translation equivalents in the translation. In addition to its importance in teaching and learning historical languages, translation alignment builds bridges between ancient and modern languages through which various linguistics annotations can be transferred. This thesis focuses on word-level translation alignment applied to historical languages in general and Ancient Greek and Latin in particular. As the title indicates, the thesis addresses four interdisciplinary aspects of translation alignment. The starting point was developing Ugarit, an interactive annotation tool to perform manual alignment aiming to gather training data to train an automatic alignment model. This effort resulted in more than 190k accurate translation pairs that I used for supervised training later. Ugarit has been used by many researchers and scholars also in the classroom at several institutions for teaching and learning ancient languages, which resulted in a large, diverse crowd-sourced aligned parallel corpus allowing us to conduct experiments and qualitative analysis to detect recurring patterns in annotators’ alignment practice and the generated translation pairs. Further, I employed the recent advances in NLP and language modeling to develop an automatic alignment model for historical low-resourced languages, experimenting with various training objectives and proposing a training strategy for historical languages that combines supervised and unsupervised training with mono- and multilingual texts. Then, I integrated this alignment model into other development workflows to project cross-lingual annotations and induce bilingual dictionaries from parallel corpora. Evaluation is essential to assess the quality of any model. To ensure employing the best practice, I reviewed the current evaluation procedure, defined its limitations, and proposed two new evaluation metrics. Moreover, I introduced a visual analytics framework to explore and inspect alignment gold standard datasets and support quantitative and qualitative evaluation of translation alignment models. Besides, I designed and implemented visual analytics tools and reading environments for parallel texts and proposed various visualization approaches to support different alignment-related tasks employing the latest advances in information visualization and best practice. Overall, this thesis presents a comprehensive study that includes manual and automatic alignment techniques, evaluation methods and visual analytics tools that aim to advance the field of translation alignment for historical languages

30th International Conference on Information Modelling and Knowledge Bases

Information modelling is becoming more and more important topic for researchers, designers, and users of information systems. The amount and complexity of information itself, the number of abstraction levels of information, and the size of databases and knowledge bases are continuously growing. Conceptual modelling is one of the sub-areas of information modelling. The aim of this conference is to bring together experts from different areas of computer science and other disciplines, who have a common interest in understanding and solving problems on information modelling and knowledge bases, as well as applying the results of research to practice. We also aim to recognize and study new areas on modelling and knowledge bases to which more attention should be paid. Therefore philosophy and logic, cognitive science, knowledge management, linguistics and management science are relevant areas, too. In the conference, there will be three categories of presentations, i.e. full papers, short papers and position papers

East Asian Integration

The growth of world trade has been stagnant in recent times; trade liberalisation now has been challenged. The recent rise of anti-globalisation calls for a better integration in East Asia. How should East Asia manage its openness? This book provides profound analyses on rules of origins, non-tariff measures, restrictiveness in services and investment. It gives insight into how East Asian countries should shape its trade, investment and industrial policies. This book helps to answer what kind of a better integration it should be, and how East Asia can realise it. “The Open Access version of this book, available at http://www.taylorfrancis.com/books/10.4324/9780429433603, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

Aspirational well-being and digital media: Southeast Asian international students' use of digital media and their pursuit of the good life in Melbourne, Australia

International students are a significant component of the increasingly global mobility of people, technologies, and goods. As an important part of global education economies and networks, the growth of international student populations highlights the ways in which mobility, technology, and identity transition are entwined. In 2016, Southeast Asian international students represented 24.8% of the total international student population in the higher education sector, and international students made up nearly one-fourth (26.8%) of all higher education students in Australia. This phenomenon is indicative of the changing mobilities in the Asian region¿especially in terms of economic, social and technological shifts that, in turn, are informing new class aspirations in, and through, media practice. It is these emergent mobilities that this dissertation seeks to understand through the guiding research question: What role does digital media technology play in the aspirations and practice of well-being among Southeast Asian international students in Melbourne, Australia? This dissertation documents and analyses how international students from Southeast Asia incorporate digital media technologies in their pursuit of a better life while studying in Australia. Drawing from qualitative methods deployed in the field for two years (2014-2016), the research seeks to make an original contribution to how Southeast Asian international students are conceptualised in Australia. It highlights the need to incorporate the complex, dynamic, and divergent ways in which Southeast Asian international students represent broader regional movements in and around the interlinking of economic, cultural, and technological elements of mobility as they pursue their aspirations. To understand the complex and dynamic ways media practices are involved in aspirational well-being, this dissertation, Aspirational Well-Being and Digital Media (hereinafter AWDM), deploys an interdisciplinary approach that includes media, culture, education, and migration studies to provide a nuanced and qualitative view of the topic. AWDM seeks to move beyond statistical studies of students' media usage and student well-being. It also seeks to move towards an in-depth analysis of the underlying motivations informing students' media practices and aspirations

Global Ocean Science Report

The Global Ocean Science Report (GOSR) assesses for the first time the status and trends in ocean science capacity around the world. The report offers a global record of who, how, and where ocean science is conducted: generating knowledge, helping to protect ocean health, and empowering society to support sustainable ocean management in the framework of the United Nations Agenda 2030.The GOSR identifies and quantifies the key elements of ocean science at the national, regional and global scales, including workforce, infrastructure and publications. This is the first collective attempt to systematically highlight opportunities as well as capacity gaps  to advance international collaboration in ocean science and technology. This report is a resource for policy makers, academics and other stakeholders seeking to harness the potential of ocean science to address global challenges.A comprehensive view of ocean science capacities at the national and global levels takes us closer to developing the global ocean science knowledge needed to ensure a healthy, sustainable ocean.The Global Ocean Science Report (GOSR) assesses for the first time the status and trends in ocean science capacity around the world. The report offers a global record of who, how, and where ocean science is conducted: generating knowledge, helping to protect ocean health, and empowering society to support sustainable ocean management in the framework of the United Nations Agenda 2030. The GOSR identifies and quantifies the key elements of ocean science at the national, regional and global scales, including workforce, infrastructure and publications. This is the first collective attempt to systematically highlight opportunities as well as capacity gaps to advance international collaboration in ocean science and technology. This report is a resource for policy makers, academics and other stakeholders seeking to harness the potential of ocean science to address global challenges. A comprehensive view of ocean science capacities at the national and global levels takes us closer to developing the global ocean science knowledge needed to ensure a healthy, sustainable ocean

Internet on mobiles: evolution of usability and user experience

The mobile Internet is no longer a new phenomenon; the first mobile devices supporting web access were introduced over 10 years ago. During the past ten years technology and business infrastructure have evolved and the number of mobile Internet users has increased all over the world. Service user interface, technology and business infrastructure have built a framework for service adaptation: they can act as enablers or as barriers. Users evaluate how the new technology adds value to their life based on multiple factors. This dissertation has its focus in the area of human-computer interaction research and practices. The overall goal of my research has been to improve the usability and the user experience of mobile Internet services. My research has sought answers to questions relevant in service development process. Questions have varied during the years, the main question being: How to design and create mobile Internet services that people can use and want to use? I have sought answers mostly from a human factors perspective, but have also taken the elements form technology and business infrastructure into consideration. In order to answer the questions raised in service development projects, we have investigated the mobile Internet services in the laboratory and in the field. My research has been conducted in various countries in 3 continents: Asia, Europe and North America. These studies revealed differences in mobile Internet use in different countries and between user groups. Studies in this dissertation were conducted between years 1998 and 2007 and show how questions and research methods have evolved during the time. Good service creation requires that all three factors: technology, business infrastructure and users are taken in consideration. When using knowledge on users in decision making, it is important to understand that the different phases of the service development cycle require the different kind of information on users. It is not enough to know about the users, the knowledge about users has to be transferred into decisions. The service has to be easy to use so that people can use it. This is related to usability. Usability is a very important factor in service adoption, but it is not enough. The service has to have relevant content from user perspective. The content is the reason why people want to use the service. In addition to the content and the ease of use, people evaluate the goodness of the service based on many other aspects: the cost, the availability and the reliability of the system for example. A good service is worth trying and after the first experience, is it worth using. These aspects are considered to influence the 'user experience' of the system. In this work I use lexical analysis to evaluate how the words "usability" and "user experience" are used in mobile HCI conference papers during the past 10 years. The use of both words has increased during the period and reflects the evolution of research questions and methodology over time

Recent Trends in Computational Intelligence

Traditional models struggle to cope with complexity, noise, and the existence of a changing environment, while Computational Intelligence (CI) offers solutions to complicated problems as well as reverse problems. The main feature of CI is adaptability, spanning the fields of machine learning and computational neuroscience. CI also comprises biologically-inspired technologies such as the intellect of swarm as part of evolutionary computation and encompassing wider areas such as image processing, data collection, and natural language processing. This book aims to discuss the usage of CI for optimal solving of various applications proving its wide reach and relevance. Bounding of optimization methods and data mining strategies make a strong and reliable prediction tool for handling real-life applications