{"title":"Personalisation in Cyber Physical and Social Systems: the Case of Recommendations in Cultural Heritage Spaces","authors":"Y. Naudet, B. Yilma, H. Panetto","doi":"10.1109/SMAP.2018.8501890","DOIUrl":"https://doi.org/10.1109/SMAP.2018.8501890","url":null,"abstract":"Providing recommendations to users evolving in physical spaces has been a research trend since a few years now, especially with the rise of recommending engines dedicated to cultural heritage spaces like museums or tourism. The evolution of our civilisation towards more and more pervasiveness of technology in our environment leads to define the spaces in which human-being evolve as Cyber-Physical-Social Systems (CPSS), in which humans cohabit with sensors, actuators, IT devices or robots, all of these entities interacting together. In this position paper, we formalised the recommendation problem in physical spaces from the general perspective of CPSS, introducing its multiple dimensions.","PeriodicalId":291905,"journal":{"name":"2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130010506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"! Chévere! Text-Based Twitter Patterns from Venezuelan Food Shortages","authors":"Laura H. Kahn","doi":"10.1109/SMAP.2018.8501870","DOIUrl":"https://doi.org/10.1109/SMAP.2018.8501870","url":null,"abstract":"Social media data from countries having challenges to free speech is a reliable form of journalism. An analysis is conducted to examine the social media response to the Venezuelan food shortages. Over 37,000 filtered Spanish tweets from the city of Caracas, Venezuela were used to observe reactions within each of the city’s five municipalities. The number of tweets from December 2014 to October 2016 (23 months) is compared to the top trending tweet from July 19, 2017. Machine learning techniques show that certain tweets may be linked to a municipality within a 10 km radius. Tweet volume over almost two years indicates the significance of the shortages among the Venezuelan people engaged in the event.","PeriodicalId":291905,"journal":{"name":"2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125628106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proactive Mobile CARS in Action: A First Step Towards Making Sense of Context Rules","authors":"Ramón Hermoso, S. Ilarri, Raquel Trillo Lado","doi":"10.1109/SMAP.2018.8501879","DOIUrl":"https://doi.org/10.1109/SMAP.2018.8501879","url":null,"abstract":"Recommender systems play a key role towards the development of personalization services, as they are able to provide suggestions about specific types of items (points of interest in a city, restaurants, hotels, etc.) that a particular user may find relevant, based on his/her preferences. In recent years, it has been argued that it is important to consider the context of the user (e.g., his/her location, the time of the day, etc.) to offer suitable recommendations to mobile users, which has given rise to the so-called Context-Aware Recommender Systems (CARS). Moreover, to facilitate users the access to relevant information and minimize the required interaction effort, they should receive the recommendations proactively, without the need to explicitly ask for a specific type of item.However, more research is needed to determine the impact of different context attributes on specific scenarios as well as the conditions under which recommendations of some types of items should be automatically activated. In this paper, we focus on the problem of recommendation triggering, describe some use case scenarios, and present context attributes and rules that can be defined to initiate several types of recommendations appropriate for those scenarios. For illustration, we formulate some examples of conditions as SWRL-like rules defined over the Semantic Sensor Network (SSN) ontology.","PeriodicalId":291905,"journal":{"name":"2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"350 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114742426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SMAP 2018 Preface","authors":"","doi":"10.1109/smap.2018.8501860","DOIUrl":"https://doi.org/10.1109/smap.2018.8501860","url":null,"abstract":"","PeriodicalId":291905,"journal":{"name":"2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122307892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SMAP 2018 Committees","authors":"","doi":"10.1109/smap.2018.8501884","DOIUrl":"https://doi.org/10.1109/smap.2018.8501884","url":null,"abstract":"","PeriodicalId":291905,"journal":{"name":"2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134329127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Vryzas, Lazaros Vrysis, Rigas Kotsakis, Charalampos A. Dimoulas
{"title":"Speech Emotion Recognition Adapted to Multimodal Semantic Repositories","authors":"N. Vryzas, Lazaros Vrysis, Rigas Kotsakis, Charalampos A. Dimoulas","doi":"10.1109/SMAP.2018.8501881","DOIUrl":"https://doi.org/10.1109/SMAP.2018.8501881","url":null,"abstract":"Speech emotion is an important paralinguistic element of speech communication, which undoubtedly involves high level of subjectivity, without concrete modeling of the implicated emotional states. Specifically, sentimental expression varies in great proportions among different spoken languages and persons. The current work is focused on the investigation of emotional states discrimination potentials, in an adaptive/personalized approach, aiming at the creation of an effective multimodal speech emotion recognition service. In this context, an emotional speech ground truth database is formulated, containing semantically/ emotionally \"loaded\" utterances of a certain speaker in five basic sentiments. In the conducted experiments several classification algorithms are implemented and compared to the results of a generalized/ augmented multi-speaker emotional speech database. Furthermore, an audio-based application is designed for real time sentiment identification, while utilizing speech recording tools combined with camera and a Speech-to-Text modules. The audio, video and text files for every spoken utterance are labeled and stored via a user-friendly and functional GUI, for the subsequent augmentation of the personalized database.","PeriodicalId":291905,"journal":{"name":"2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114411628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SMAP 2018 Cover Page","authors":"","doi":"10.1109/smap.2018.8501874","DOIUrl":"https://doi.org/10.1109/smap.2018.8501874","url":null,"abstract":"","PeriodicalId":291905,"journal":{"name":"2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116572131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}