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Este proyecto presenta el desarrollo de una aplicación que permite extraer datos de los mensajes de las redes sociales, concretamente en la red social llamada Twitter. Todos los mensajes publicados tienen un rango de difusión que define si han llegado a más o menos usuarios de esta red, sin importar el tipo de contenido de un tweet : político, social, personal, publicitario. Todos tienen la intención de transmitir información a los demás usuarios. Este proyecto será la herramienta que permitirá a una persona experta en sociología, o en el ámbito del estudio del comportamiento de las personas, analizar el impacto de un tweet, pues esta herramienta utilizará la librería Tweepy, una librería oficial de Twitter Developer Platform para extraer toda la información posible mediante la introducción del enlace de un tweet. Aquest projecte presenta el desenvolupament d'una aplicació que permet extreure dades dels missatges de les xarxes socials, concretament a la xarxa social anomenada Twitter. Tots els missatges publicats tenen un rang de difusió que defineix si han arribat a més o menys usuaris d'aquesta xarxa, sense importar el tipus de contingut d'un tweet: polític, social, publicitari o personal. Tots amb la intenció de transmetre informació als altres usuaris. Aquest projecte serà l'eina que permetrà a una persona experta en sociologia, o en l'àmbit de l'estudi del comportament de les persones, analitzar el impacte d'un tweet, ja que aquesta eina utilitzarà la llibreria Tweepy, una llibreria oficial de Twitter Developer Platform per extreure tota la informació possible mitjançant la introducció de l'enllaç d'un tweet. This project presents the development of an application that allows data extraction from network messages of social networks, specifically in the social network called Twitter. All messages published have a diffusion range that defines whether they have reached more or fewer users of this network, regardless of the content type's tweet: political, social, advertising or personal. Which all are intended to communicate information on to other users. This project will be the tool that will allow an expert in sociology, or in the field of studying people's behavior, to analyze the impact of a tweet, as this tool will use the Tweepy library, an official Twitter Developer Platform library to extract as much information as possible by entering the link of a tweet.

은 두 개의 줄거리를 동시에 사용하여 헤라클레스의 12과업에 대한 고대 신화 이야기를 다시 하고 르네상스 이후부터 현대까지의 과학, 기술, 그리고 예술의 역사에서 헤라클레스의 수용에 대해 논의하는 학제간 전시회입니다. 이 전시회는 차우 착 윙 박물관에서 수용학에 관한 시리즈의 두 번째 전시회입니다. 첫 번째 전시회인 는 호메로스의 서사시 과 를 중심으로 린나이우스의 분류와 작명 체계를 소개하였습니다. 이 전시회는 명명될 동물의 외형적 속성을 자주 무시한 이름을 사용함에 있어 라틴어 신화 기록가의 글의 역할을 강조하였습니다. 그러나 헤라클레스라는 이름은 동물, 장소 또는 허구를 그 고대 인물과 연관시키기 위해 외형적 특성이 고려되어야 합니다. 전시에는 헤라클레스와 그의 동료 또는 적들의 이름이 우리 주변에서 사용된 다양한 방식을 나타내는 동물, 식물, 그리고 사물과 함께 고대 아테네와 르네상스 이후의 미술이 포함되어 있습니다.

Reproducibility package for "Is it feasible to detect FLOSS version release events from textual messages? A case study on Stack Overflow" paper accepted to PlosOne journal.

In the paper we describe a new EU infrastructure project dedicated to lexicography. The project is part of the Horizon 2020 program, with a duration of four years (2018-2022). The result of the project will be an infrastructure which will (1) enable efficient access to high quality lexicographic data, and (2) bridge the gap between more advanced and less-resourced scholarly communities working on lexicographic resources. One of the main issues addressed by the project is the fact that current lexicographic resources have different levels of (incompatible) structuring, and are not equally suitable for application in in Natural Language Processing and other fields. The project will therefore develop strategies, tools and standards for extracting, structuring and linking lexicographic resources to enable their inclusion in Linked Open Data and the Semantic Web, as well as their use in the context of digital humanities.

This is a short paper abstract for Spatial Humanities 2022. The juxtaposed perspectives of historians and archaeologists on early medieval settlement patterns and, by extension, on the gradual formation of feudal landscapes and the dynamics of incorporation within them are likely to emerge from a lack of data integration. Our contribution will introduce an interoperable semantic code for data-modelling that facilitates (and even encourages) communication across disciplines, thus allowing us to integrate data notwithstanding the origin of the information sources. As preliminary results, we will report the possibilities that qualitative spatial reasoning is offering to us together with spatial query language. This contribution is an outcome of a PhD grand supported by the Secretariat for Universities and Research of the Ministry of Business and Knowledge of the Government of Catalonia and the European Social Fund (2022 FI_B1 00021). The study is part of the current research tasks carried out by the Medieval and Postmedieval Archaeology Research Group GRAMP.-UB (2017-SGR-833-GRC ) at the University of Barcelona, to which the authors belong, and it is included in our Landscape Archaeology research line.

The challenges, and rewards, of undertaking archaeological fieldwork in a country like Afghanistan have been numerous and need to be outlined to put the following research in context. The minaret and archaeological remains of Jām were inscribed on the World Heritage List in 2002 as Afghanistan’s first World Heritage site. The World Heritage nomination concludes by hoping that the inscription of the site would result in the mobilisation of financial and technical support to assist with the conservation, presentation and development of the site, building the capacity of Afghan conservation and management expertise, and the development of a comprehensive management plan.