V. Kolias, C. Kolias, I. Anagnostopoulos, G. Kambourakis, E. Kayafas
{"title":"A Speech-Enabled Assistive Collaborative Platform for Educational Purposes with User Personalization","authors":"V. Kolias, C. Kolias, I. Anagnostopoulos, G. Kambourakis, E. Kayafas","doi":"10.1109/SMAP.2008.31","DOIUrl":"https://doi.org/10.1109/SMAP.2008.31","url":null,"abstract":"With the proliferation of Web 2.0 applications, collaborative learning has gathered a lot of attention due its potentiality in the e-learning field. Forums, Wikis and Blogs for example are only some of the applications that exploit the collaborative nature of e-learning. However, these applications are originally designed for access from desktop systems and access to them when on the move can prove a challenging task. This paper elaborates on the design and implementation of an assistive collaborative platform for educational purposes that can be accessed by heterogeneous hardware platforms such as PCs, PDAs, mobile or traditional phones due to its capability of representing data in vocal manner. Its main purpose is to provide a platform for collaboration between university students and teachers in away that enhances students¿ access to educational resources and their overall learning experience. This is achieved by personalizing its content at least to some degree. Furthermore, its acoustic/vocal characteristics may also prove valuable for learners with visual or kinetic impairments.","PeriodicalId":292389,"journal":{"name":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115824999","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":"Personalized Comparing Instances of Domain Ontology Concepts","authors":"A. Andrejko, M. Bieliková","doi":"10.1109/SMAP.2008.13","DOIUrl":"https://doi.org/10.1109/SMAP.2008.13","url":null,"abstract":"Characteristics in the user model can be acquired and maintained in several ways, namely by means of implicit or explicit feedback, observation of user's actions, log analysis, etc. We use analysis of the content that is presented to a user. We assume that comparing documents and analyzing their common and different aspects can lead to information about user's interests. We work in the Semantic Web environment where ontologies are used as a mean for content representation. We proposed a recursive method to evaluate similarity of ontological concepts. But computed similarities do not take into account user's individuality, i.e. the same results are computed for each user. User's perception of the similarity measure is subjective. Therefore, we extend the method to compute similarity with regard to the user.","PeriodicalId":292389,"journal":{"name":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121562300","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":"A Model for Error Avoidance and Error Correction in Peer-to-Peer Networks","authors":"C. Spielvogel, Sabina Serbu, P. Felber, P. Kropf","doi":"10.1109/SMAP.2008.21","DOIUrl":"https://doi.org/10.1109/SMAP.2008.21","url":null,"abstract":"Video streaming over best effort networks remains a challenging task. Video quality decreases with the number of frames that are corrupted, lost or received after the playback time. In order to deliver videos in high quality, a model for selecting the proper network-error treatment in a peer-to-peer overlay is presented. Based on the model, the selection is between error avoidance, error correction and a combination of both approaches. The model is evaluated by using the network simulator NS-2 and a modified version of EvalVid. The solution is presented in the context of an indexing-cache overlay, which has two interesting properties for our selection model: it efficiently locates even rare videos, and the search procedure returns multiple locations for a requested video.","PeriodicalId":292389,"journal":{"name":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117167742","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":"Experimental Adaptive Web Portal with Semantic Data Store","authors":"Martin Balík, I. Jelínek","doi":"10.1109/SMAP.2008.19","DOIUrl":"https://doi.org/10.1109/SMAP.2008.19","url":null,"abstract":"Nowadays, the web is a widely used source of information. Therefore, current research is focusing on making the information retrieval more effective. Adaptive web technologies enable the storage of information about users and adapt the content of documents to user preferences. In our research, we are developing a general model of adaptive system. For evaluation of our theoretical results we have developed a prototype of an adaptive system and performed several experiments. In this paper we will describe important characteristics of the prototype system architecture, relations with our adaptive system model, performed experiments and proposals for future extensions.","PeriodicalId":292389,"journal":{"name":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127023429","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}
Brahim Elloumi, Jean-Claude Moissinac, O. Martinot, Erwan Baynaud
{"title":"Towards an Authoring Tool for Personalizable Multimedia Content","authors":"Brahim Elloumi, Jean-Claude Moissinac, O. Martinot, Erwan Baynaud","doi":"10.1109/SMAP.2008.27","DOIUrl":"https://doi.org/10.1109/SMAP.2008.27","url":null,"abstract":"In this paper, we focus on the problems of multimedia content personalization. We propose a new method/tool for authoring personalizable multimedia content. In other terms, our approach aims at helping the author (or the service provider) to generate a personalization process for an multimedia content which will be executed during the delivery of the scene. The elementary operations of this process of adaptation/personalization are implemented by dedicated Web services.","PeriodicalId":292389,"journal":{"name":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132772462","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":"Use of Semantic Enhancements to NLP of Image Captions to Aid Image Retrieval","authors":"Kraisak Kesorn, S. Poslad","doi":"10.1109/SMAP.2008.18","DOIUrl":"https://doi.org/10.1109/SMAP.2008.18","url":null,"abstract":"This paper proposes a semantic-based create and search technique to enhance visual information retrieval. Our approach includes an ontology-based scheme for the semi-automatic annotation for image retrieval. Latent Semantic Indexing (LSI) is used in order to solve the Natural Language (NL) vagueness problem and to tolerate ontology imperfections. In addition, our framework is able to find indirect relevant concepts in images and to represent image semantics at a higher level. Experiments demonstrate that semantic-based approaches can significantly improve image retrieval.","PeriodicalId":292389,"journal":{"name":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124794714","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}
G. Papadopoulos, A. Briassouli, V. Mezaris, Y. Kompatsiaris, M. Strintzis
{"title":"Semantic Video Analysis Based on Estimation and Representation of Higher-Order Motion Statistics","authors":"G. Papadopoulos, A. Briassouli, V. Mezaris, Y. Kompatsiaris, M. Strintzis","doi":"10.1109/SMAP.2008.22","DOIUrl":"https://doi.org/10.1109/SMAP.2008.22","url":null,"abstract":"In this paper, a generic motion-based approach to semantic video analysis is presented. The examined video is initially segmented into shots and for every resulting shot appropriate motion features are extracted at fixed time intervals. Then, hidden Markov models (HMMs) are employed for performing the association of each shot with one of the semantic classes that are of interest in any given domain. Regarding the motion feature extraction procedure, higher order statistics of the motion estimates are calculated and a new representation for providing local-level motion information to HMMs is presented. The latter is based on the combination of energy distribution-related information and spatial attributes of the motion signal. Experimental results as well as comparative evaluation from the application of the proposed approach in the domain of news broadcast video are presented.","PeriodicalId":292389,"journal":{"name":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","volume":"89 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114040677","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":"Modeling User Networks in Recommender Systems","authors":"D. Vogiatzis, N. Tsapatsoulis","doi":"10.1109/SMAP.2008.35","DOIUrl":"https://doi.org/10.1109/SMAP.2008.35","url":null,"abstract":"Recommender systems, in the collaborative filtering variation, are popular tools used to drive users out of information clutter, by letting them select ¿interesting¿ items based on the preferences of similarly minded users. In such a system as more users come in to evaluate items (be they information pieces, products or otherwise), a network of users starts to be formed. In this paper we are interested in the dynamics of such a network, in particular we investigate if there is a hidden law that captures the essence of such networks irrespective of their size. The discovery of such a law would allow, among other usages, generation of synthetic data sets, realistic enough to be used for simulation purposes. Furthermore, it would be useful for information-seeking activities such as locating known experts or influential users on a particular subject. Similar work in related fields suggested the existence of power-laws, which seem to be ubiquitous. However, in our work we did not detect the presence of such a law, instead we discovered an exponential relationship between the nodes of a graph representing users, and edges representing similarity between users. In particular the logarithm of the degree of node is linearly related to the ranking of the node in a decreasing order. The above conclusion is justified by extended experiments on two versions of the movie lens data set (one comprised 100,000 user evaluations, while the other comprised 1,000,0000 evaluations).","PeriodicalId":292389,"journal":{"name":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116694023","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":"Feature Selection in Acted Speech for the Creation of an Emotion Recognition Personalization Service","authors":"C. Anagnostopoulos","doi":"10.1109/SMAP.2008.34","DOIUrl":"https://doi.org/10.1109/SMAP.2008.34","url":null,"abstract":"One hundred thirty three (133) sound/speech features extracted from pitch, Mel frequency cepstral coefficients, energy and formants were evaluated in order to create a feature set sufficient to discriminate between seven emotions in acted speech. After the appropriate feature selection, multilayered perceptrons were trained for emotion recognition on the basis of a 23-input vector, which provide information about the prosody of the speaker over the entire sentence. Several experiments were performed and the results are presented analytically. Extra emphasis was given to assess the proposed 23-input vector in a speaker independent framework where speakers are not ¿known¿ to the classifier. The proposed feature vector achieved promising results (51%) for speaker independent recognition in seven emotion classes. Moreover, considering the problem of classifying high and low arousal emotions, our classifier reaches 86.8% successful recognition.","PeriodicalId":292389,"journal":{"name":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","volume":"512 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116700398","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":"Personalized Widget for Public Transportation Departures","authors":"Lucia Szalayová, A. Kovárová","doi":"10.1109/SMAP.2008.28","DOIUrl":"https://doi.org/10.1109/SMAP.2008.28","url":null,"abstract":"Public transportation passengers are extensively using Internet to make their lives simpler. In order to minimize the time spent at the bus stop, they use to check their bus line departures on the Web before they leave their homes or offices. For this purpose, there exist several Internet portals providing information on local transportation time schedules. This paper presents another way (quicker and easier) of obtaining the same information. Our solution is implemented as an adaptive desktop widget with comfortable user interface.","PeriodicalId":292389,"journal":{"name":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121557331","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}