Henrich, AndreasAndreasHenrich0000-0002-5074-3254Schlieder, ChristophChristophSchlieder0000-0002-7226-8204Schmid, UteUteSchmid0000-0002-1301-0326Seifert, InessaInessaSeifertSaendig, BertramBertramSaendigKremer, DominikDominikKremerGrossmann, PeterPeterGrossmannWachter, MarkusMarkusWachterRaab, MariusMariusRaab0000-0002-1018-745XCarbon, Claus-ChristianClaus-ChristianCarbon0000-0002-3446-9347Faerber, Stella J.Stella J.FaerberHenrich, AndreasSchlieder, ChristophSchmid, Ute2019-09-192011-12-232011https://fis.uni-bamberg.de/handle/uniba/321In the post-proceedings of the Workshop "Visibility in Information Spaces and in Geographic Environments" a selection of research papers is presented where the topic of visibility is addressed in different contexts. Visibility governs information selection in geographic environments as well as in information spaces and in cognition. The users of social media navigate in information spaces and at the same time, as embodied agents, they move in geographic environments. Both activities follow a similar type of information economy in which decisions by individuals or groups require a highly selective filtering to avoid information overload. In this context, visibility refers to the fact that in social processes some actors, topics or places are more salient than others. Formal notions of visibility include the centrality measures from social network analysis or the plethora of web page ranking methods. Recently, comparable approaches have been proposed to analyse activities in geographic environments: Place Rank, for instance, describes the social visibility of urban places based on the temporal sequence of tourist visit patterns. The workshop aimed to bring together researchers from AI, Geographic Information Science, Cognitive Science, and other disciplines who are interested in understanding how the different forms of visibility in information spaces and geographic environments relate to one another and how the results from basic research can be used to improve spatial search engines, geo-recommender systems or location-based social networks.engRaum-zeitliches Verhalten, Mobile Assistenz, Visualisierung , Prototypen, Geo-Information RetrievalRaum-zeitliches VerhaltenMobile AssistenzVisualisierungPrototypenGeo-Information Retrieval004conferenceobjecturn:nbn:de:bvb:473-opus-3923