Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services最新文献

{"title":"Blockchain as Middleware for Exchange of Resources: The Cross-Company Loyalty Rewarding System Use Case","authors":"Kushal Soni, Olga De Troyer","doi":"10.1145/3366030.3366118","DOIUrl":"https://doi.org/10.1145/3366030.3366118","url":null,"abstract":"Loyalty programs that allow customers to collect loyalty points are popular means for customer relationship building. At the moment, such points can be collected and spent only within the same shop (or shops from the same consortium), which makes it only interesting for customers visiting that particular store frequently. However, especially with the increase of e-shops, customers easily switch between stores. With this new shopping behaviour, such programs are less attractive and as such become less effective, requiring a more novel approach. One possibility could be to allow customers to collect and spent loyalty points across stores. In fact, this is just one use case of a more general issue. There are multiple cases in which people receive (digital) resources from organizations or other parties and want to use or exchange them across other organizations or parties. In this paper, we propose a generic framework that allows customers to exchange resources across different parties. We propose to implement this framework with a blockchain-based solution, making the customers in full control and awareness of their available resources as well as creating a decentralized, trustable and safe environment. We present the major research questions, the general concepts of our generic framework, the proposed solution, and a proof of concept of this solution.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126648631","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":"Uniform Access to Multiform Data Lakes using Semantic Technologies","authors":"Mohamed Nadjib Mami, D. Graux, S. Scerri, Hajira Jabeen, S. Auer, Jens Lehmann","doi":"10.1145/3366030.3366054","DOIUrl":"https://doi.org/10.1145/3366030.3366054","url":null,"abstract":"Increasing data volumes have extensively increased application possibilities. However, accessing this data in an ad hoc manner remains an unsolved problem due to the diversity of data management approaches, formats and storage frameworks, resulting in the need to effectively access and process distributed heterogeneous data at scale. For years, Semantic Web techniques have addressed data integration challenges with practical knowledge representation models and ontology-based mappings. Leveraging these techniques, we provide a solution enabling uniform access to large, heterogeneous data sources, without enforcing centralization; thus realizing the vision of a Semantic Data Lake. In this paper, we define the core concepts underlying this vision and the architectural requirements that systems implementing it need to fulfill. Squerall, an example of such a system, is an extensible framework built on top of state-of-the-art Big Data technologies. We focus on Squerall's distributed query execution techniques and strategies, empirically evaluating its performance throughout its various sub-phases.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124851331","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":"Generation of Test Cases for Testing SuperSQL","authors":"Amulya Bathini, Kento Goto, Motomichi Toyama","doi":"10.1145/3366030.3366131","DOIUrl":"https://doi.org/10.1145/3366030.3366131","url":null,"abstract":"SuperSQL is an extension of SQL which generates data in various formats like HTML, PDF, XML, among many others. The same data is represented in different forms according to the user, due to which it is called a data representation and publishing language. This research is to provide help in testing the SuperSQL processor. In this study, possible test cases that are used for testing the SuperSQL system are generated using a combinatorial algorithm that was constructed. This algorithm generated a combinatorially explosive number of test cases that are required for testing the SuperSQL system. A software tool called SStest was made to exhibit these test cases for use and also to manage (execute, add, delete) these test cases.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122905768","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":"Modelling Emotion Dynamics on Twitter via Hidden Markov Model","authors":"Debashis Naskar, E. Onaindía, M. Rebollo, Subhashis Das","doi":"10.1145/3366030.3366092","DOIUrl":"https://doi.org/10.1145/3366030.3366092","url":null,"abstract":"Exploring the mechanism about users' emotion dynamics towards social events and further predicting their future emotions have attracted great attention to the researchers. One of the unexplored components of human communication found online in written form is an emotional expression. However, despite the concreteness of the online expressions in written form, it remains unpredictable which kinds of emotions will be expressed in individual messages of Twitter users. To investigate this, we perform an investigation on observing emotions unfolding in a consecutive sequence of tweets for a particular user based on his/her past history. In this paper, we propose a method on given a set of tweets related with some events (identified by the usage of a hashtag), determines how those sentiments will be distributed on behalf of a person within a conversation. We present the Hidden Markov Model (HMM) to understand the nature of emotion dynamics in Twitter messages.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134167699","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":"Fully Informed Vulnerable Road Users: Simpler, Maybe Better","authors":"Bruno Fernandes, H. Vicente, Jorge Ribeiro, A. Capita, Cesar Analide, J. Neves","doi":"10.1145/3366030.3366089","DOIUrl":"https://doi.org/10.1145/3366030.3366089","url":null,"abstract":"Vulnerable Road Users (VRUs) are all those with an increased vulnerability on the road, in particular non-motorised ones. Until now, the emphasis has been in politics more focused on drivers, vehicles and infrastructures. However, recent developments show a shift in other directions, with researchers now devoting efforts to improve VRUs' safety. Hence, this work focuses on pedestrian walking and crossing behaviour, attitudes, motivations and habits, being grounded on an approach to Knowledge Representation and Reasoning centred on logic programming, which establishes a formal logical inference engine that is complemented with an Artificial Neural Network line to computation.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115820814","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":"Query Recommendation to Draw a Laugh from Web Searchers","authors":"Hiroo Umeda, Yusuke Yamamoto","doi":"10.1145/3366030.3366045","DOIUrl":"https://doi.org/10.1145/3366030.3366045","url":null,"abstract":"This study proposes a system, which shows funny term pairs when searchers issue a query into Web search engines. The proposed system analyzes the following two factors for a term pair in a given query: the unexpectedness and the semantic conflict. The experimental result showed that the proposed method provided a larger number of funny term pairs for queries than the baseline methods. Although the proposed method was not the best based on the average value, it can still offer opportunities for searchers to laugh and feel cheery when issuing queries into the Web search engines.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115858209","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":"Improving Precision in IR Considering Dynamic Environments","authors":"Claudio Gutiérrez-Soto, A. Diaz","doi":"10.1145/3366030.3366101","DOIUrl":"https://doi.org/10.1145/3366030.3366101","url":null,"abstract":"Much of the research in Information Retrieval (IR) is devoted to studying the improvement of personalized results for specific users in a static environment. Nevertheless, few approaches take advantage of collective past searches in a dynamic context where the number of documents is increased according with the passage of time. In this paper, we present an on-line probabilistic algorithm, which uses the collective past searches in a dynamic context to answer static and dynamic queries. Several experiments were carried out with the aim of evaluating the effectiveness of our algorithm. The algorithm's results were compared with the cosine measure. Following the Cranfield paradigm, simulated datasets were used in the experiments. Final results show that it is possible to improve effectiveness in a dynamic context.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115465109","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":"Collective Intelligence Systems from an Organizational Perspective","authors":"D. Draheim","doi":"10.1145/3366030.3368457","DOIUrl":"https://doi.org/10.1145/3366030.3368457","url":null,"abstract":"In this talk, we consider Collective Intelligence (CI) systems [11-13, 15] from an organizational perspective. CI systems offer a solution to problems that need cognitive skills, problem-solving capabilities, knowledge, know-how or experience at large scale. They help to facilitate and streamline large-scale problem-solving endeavours. The organizational perspective on CI systems offers us two strands of discussion. On the one hand, it can be about understanding the potential of CI systems for today's organizations. On the other hand, CI systems can be considered as organizations themselves and can be investigated as such. We start by reviewing the state-of-the art of CI frameworks [19, 20]. What are the essential building blocks of a CI system? Who uses them? For what, how and why? We come up with a generalized framework [19] that serves us as a basis for further investigations. From a governance perspective, today's organizations are recursive-feedback control systems, usually expressed in the form of process-oriented management [5, 9, 10], see also [6, 7]. A deeper look reveals a plethora of different styles of organizational culture [14, 18]. Still, viable organizations have in common certain essential sub systems, which are policy making, external and internal steering, the primary activities and an informational backbone [1-3]. How can we exploit CI systems to support these organizational building blocks? Can CI systems be made an integral part of organizations to make them more stable towards distortions; more adaptive towards an ever changing environment; more agile towards the organization's innovative potential? Answers to such questions would free CI systems from being niche players in certain large-scale problem-solving initiatives. Reflecting back from the potential of CI systems in today's organizations, we ask: what can be learned with respect to the design and implementation of future CI systems; and: how to break the silos, i.e., how to integrate CI systems with related paradigms such as knowledge management systems, compare also with [4, 8, 16, 17] and latest computing resources such as big data and the data science toolkit?","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121955727","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":"Development of IoT Monitoring Device and Prediction of Daily Life Behavior","authors":"Rabindra Maharjan, K. Shiraishi, Takehiro Yamamoto, Yusuke Yamamoto, Hiroaki Ohshima","doi":"10.1145/3366030.3366123","DOIUrl":"https://doi.org/10.1145/3366030.3366123","url":null,"abstract":"In this study, we developed an Internet of Things (IoT) monitoring device to monitor over the people inside a room. We collected sensor data at a specific location using the device. Based on the data, we tried to predict the behavior of the person at that location. Monitoring and predicting human daily behavior is trivial task. Most of the research on monitoring and predicting daily life behavior are based on the data available from smart home [7] [16] [17]. But smart home is expensive compare to normal home, as different kind of sensor are attached in the room and have more facilities. So, we developed a low cost IoT monitoring device and predict the daily life behavior of human from the sensor data taken from the device. We can extract information from the daily life behavior and share it with the family living in distant places.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130560860","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":"Pro-Eating Disorders and Pro-Recovery Communities on Reddit: Text and Network Comparative Analyses","authors":"Yousra Fettach, Lamia Benhiba","doi":"10.1145/3366030.3366058","DOIUrl":"https://doi.org/10.1145/3366030.3366058","url":null,"abstract":"Online eating disorders communities play a major role in facilitating the communication among users suffering from these illnesses. Most studies have taken interest in the content of these communities, without acknowledging the relationship between the content and the structure of their networks of communication. We present a multi-faceted study where we analyze the content and the network of the pro-eating disorders (pro-ED) community and the pro-recovery community on Reddit by applying an approach that combines topic modeling, social network analysis and sentiment analysis for a better comprehension of these communities on both content and network levels. Through a comparative analysis, we define the main topics both communities address based on their users' content, then we describe the communication patterns of these communities, which leads us to analyze the sentiments of the users with the most connections to other users in addition to the ones that are common between both communities.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126982504","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}