Yoshitaka Sakurai, K. Takada, P. Ceravolo, E. Damiani, S. Tsuruta
Bringing sensor- and context-awareness to the Web promises to open new, tremendous business opportunities. However, context-awareness involves difficult problems such as modeling social / human affairs (e.g. law, personal preferences, etc.), handling incomplete information, and managing uncertainty of sensor data. We argue that fully-fledged, Semantic-Web-style reasoning in presence of uncertainty is neither always feasible, nor always necessary for a context-based Web. As an alternative, this paper proposes a highly expressive, simple, and efficient context representation for sensor-enabled Web services. Our representation is based on a syntax inspired by standard Semantics of Business Vocabulary and Business Rules (SBVR), enriched by annotations expressing prioritized modality and trust values. The feasibility of our approach is demonstrated via a case study for developing context/ambient-aware applications that adapt to changes in the environment.
{"title":"Rich Context Representation for Situation Aware System","authors":"Yoshitaka Sakurai, K. Takada, P. Ceravolo, E. Damiani, S. Tsuruta","doi":"10.1109/CISIS.2012.177","DOIUrl":"https://doi.org/10.1109/CISIS.2012.177","url":null,"abstract":"Bringing sensor- and context-awareness to the Web promises to open new, tremendous business opportunities. However, context-awareness involves difficult problems such as modeling social / human affairs (e.g. law, personal preferences, etc.), handling incomplete information, and managing uncertainty of sensor data. We argue that fully-fledged, Semantic-Web-style reasoning in presence of uncertainty is neither always feasible, nor always necessary for a context-based Web. As an alternative, this paper proposes a highly expressive, simple, and efficient context representation for sensor-enabled Web services. Our representation is based on a syntax inspired by standard Semantics of Business Vocabulary and Business Rules (SBVR), enriched by annotations expressing prioritized modality and trust values. The feasibility of our approach is demonstrated via a case study for developing context/ambient-aware applications that adapt to changes in the environment.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134334658","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}
This paper describes the evaluation of human-robot-interaction (HRI) related to the future use of a humanoid robotic system as interface in intelligent home environments. The core motivation was to enhance the user interaction between smart home systems and senior users by introducing a humanoid, mobile socially assistive robot as user interface. To what extend older users accept and use the autonomous robot as interface is the central research topic covered in this paper. To evaluate this question a user evaluation was performed together with 16 older people within the "Living Lab Schwechat" in Austria [15] and a senior citizen home in Tel Aviv, Israel. Detailed results covering user acceptance, the users' attitude towards the robot, perception of the robot by the users and scores regarding the naturalness, animacy and intelligence of the tested system are presented and recommendations for improvements of the system are given.
{"title":"Evaluation of Human Robot Interaction Factors of a Socially Assistive Robot Together with Older People","authors":"Katharina Werner, J. Oberzaucher, Franz Werner","doi":"10.1109/CISIS.2012.36","DOIUrl":"https://doi.org/10.1109/CISIS.2012.36","url":null,"abstract":"This paper describes the evaluation of human-robot-interaction (HRI) related to the future use of a humanoid robotic system as interface in intelligent home environments. The core motivation was to enhance the user interaction between smart home systems and senior users by introducing a humanoid, mobile socially assistive robot as user interface. To what extend older users accept and use the autonomous robot as interface is the central research topic covered in this paper. To evaluate this question a user evaluation was performed together with 16 older people within the \"Living Lab Schwechat\" in Austria [15] and a senior citizen home in Tel Aviv, Israel. Detailed results covering user acceptance, the users' attitude towards the robot, perception of the robot by the users and scores regarding the naturalness, animacy and intelligence of the tested system are presented and recommendations for improvements of the system are given.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114019412","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}
Paolo Napoletano, F. Colace, M. D. Santo, L. Greco
It is well known that supervised text classification methods need to learn from many labeled examples to achieve a high accuracy. However, in a real context, sufficient labeled examples are not always available. For this reason, there has been recent interest in methods that are capable of obtaining a high accuracy even if the size of the training set is not big. The main purpose of text mining techniques is to identify common patterns through the observation of vectors of features and then to use such patterns to make predictions. Most existing methods usually make use of a vector of features made up of weighted words that unfortunately are insufficiently discriminative when the number of features is much higher than the number of labeled examples. In this paper we demonstrate that, to obtain a greater accuracy in the analysis and revelation of common patterns, we could employ more complex features than simple weighted words. The proposed vector of features considers a hierarchical structure, named a mixed Graph of Terms, composed of a directed and an undirected sub-graph of words, that can be automatically constructed from a set of documents through the probabilistic Topic Model. The method has been tested on the top 10 classes of the ModApte split from the Reuters-21578 dataset, learned on several subsets of the original training set and showing a better performance than a method using a list of weighted words as a vector of features and linear support vector machines.
众所周知，有监督的文本分类方法需要从许多有标签的例子中学习才能达到较高的准确率。然而，在实际环境中，并不总是有足够的标记示例。由于这个原因，最近人们对即使训练集的大小不大也能获得高精度的方法很感兴趣。文本挖掘技术的主要目的是通过观察特征向量来识别共同的模式，然后使用这些模式进行预测。大多数现有方法通常使用由加权词组成的特征向量，不幸的是，当特征数量远远大于标记示例的数量时，这种方法的判别能力不足。在本文中，我们证明，为了获得更高的准确性，在共同模式的分析和揭示，我们可以使用更复杂的特征，而不是简单的加权词。所提出的特征向量考虑了一种分层结构，称为混合词图(mixed Graph of Terms)，它由词的有向子图和无向子图组成，可以通过概率主题模型从一组文档中自动构造。该方法已经在路透社-21578数据集的ModApte拆分的前10个类上进行了测试，在原始训练集的几个子集上进行了学习，并显示出比使用加权词列表作为特征向量和线性支持向量机的方法更好的性能。
{"title":"Text Classification Using a Graph of Terms","authors":"Paolo Napoletano, F. Colace, M. D. Santo, L. Greco","doi":"10.1109/CISIS.2012.183","DOIUrl":"https://doi.org/10.1109/CISIS.2012.183","url":null,"abstract":"It is well known that supervised text classification methods need to learn from many labeled examples to achieve a high accuracy. However, in a real context, sufficient labeled examples are not always available. For this reason, there has been recent interest in methods that are capable of obtaining a high accuracy even if the size of the training set is not big. The main purpose of text mining techniques is to identify common patterns through the observation of vectors of features and then to use such patterns to make predictions. Most existing methods usually make use of a vector of features made up of weighted words that unfortunately are insufficiently discriminative when the number of features is much higher than the number of labeled examples. In this paper we demonstrate that, to obtain a greater accuracy in the analysis and revelation of common patterns, we could employ more complex features than simple weighted words. The proposed vector of features considers a hierarchical structure, named a mixed Graph of Terms, composed of a directed and an undirected sub-graph of words, that can be automatically constructed from a set of documents through the probabilistic Topic Model. The method has been tested on the top 10 classes of the ModApte split from the Reuters-21578 dataset, learned on several subsets of the original training set and showing a better performance than a method using a list of weighted words as a vector of features and linear support vector machines.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132110564","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}
The increasing popularity of the cloud computing paradigm and the emerging concept of federated cloud computing have motivated research efforts towards intelligent cloud service selection aimed at developing techniques for enabling the cloud users to gain maximum benefit from cloud computing by selecting services which provide optimal performance at lowest possible cost. Given the intricate and heterogeneous nature of current clouds, the cloud service selection process is, in effect, a multi criteria optimization or decision-making problem. The possible criteria for this process are related to both functional and nonfunctional attributes of cloud services. In this context, the two major issues are: (1) choice of a criteria-set and (2) mechanisms for the assessment of cloud services against each criterion for thorough continuous cloud service monitoring. In this paper, we focus on the issue of cloud service monitoring wherein the existing monitoring and assessment mechanisms are entirely dependent on various benchmark tests which, however, are unable to accurately determine or reliably predict the performance of actual cloud applications under a real workload. We discuss the recent research aimed at achieving this objective and propose a novel user-feedback-based approach which can monitor cloud performance more reliably and accurately as compared with the existing mechanisms.
{"title":"A Framework for User Feedback Based Cloud Service Monitoring","authors":"Z. Rehman, O. Hussain, S. Parvin, F. Hussain","doi":"10.1109/CISIS.2012.157","DOIUrl":"https://doi.org/10.1109/CISIS.2012.157","url":null,"abstract":"The increasing popularity of the cloud computing paradigm and the emerging concept of federated cloud computing have motivated research efforts towards intelligent cloud service selection aimed at developing techniques for enabling the cloud users to gain maximum benefit from cloud computing by selecting services which provide optimal performance at lowest possible cost. Given the intricate and heterogeneous nature of current clouds, the cloud service selection process is, in effect, a multi criteria optimization or decision-making problem. The possible criteria for this process are related to both functional and nonfunctional attributes of cloud services. In this context, the two major issues are: (1) choice of a criteria-set and (2) mechanisms for the assessment of cloud services against each criterion for thorough continuous cloud service monitoring. In this paper, we focus on the issue of cloud service monitoring wherein the existing monitoring and assessment mechanisms are entirely dependent on various benchmark tests which, however, are unable to accurately determine or reliably predict the performance of actual cloud applications under a real workload. We discuss the recent research aimed at achieving this objective and propose a novel user-feedback-based approach which can monitor cloud performance more reliably and accurately as compared with the existing mechanisms.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133381336","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}
Database management systems (DBMS) use external magnetic devices (disks) for the storage of mass data. In the context of very large databases, the query response time may be strongly influenced by two main factors: (i) the amount data needed to be accessed from the disk to the main memory cache and (ii) the order of queries, especially if queries share some common intermediate results. These two factors are related to two well known problems in databases: Buffer Management Problem (BMP) and Query Scheduling Problem (QSP). Usually, BMP and QSP are treated in the isolated way and their strong interaction is ignored by the existing solutions. This situation motivates us to consider the integrated problem including BMP and QSP. In this paper, we first propose a formalization of the integrated problem and show complexity. Secondly, three heuristics are proposed: naive, hill climbing and genetic algorithms dealing with our integrated problem. Finally, two intensive experiments are conducted: (1) theoretically using a cost model and (2) a real validation on Oracle11G.
{"title":"Simultaneous Resolution of Buffer Allocation and Query Scheduling Problems","authors":"Amira Kerkad, Ladjel Bellatreche, D. Geniet","doi":"10.1109/CISIS.2012.201","DOIUrl":"https://doi.org/10.1109/CISIS.2012.201","url":null,"abstract":"Database management systems (DBMS) use external magnetic devices (disks) for the storage of mass data. In the context of very large databases, the query response time may be strongly influenced by two main factors: (i) the amount data needed to be accessed from the disk to the main memory cache and (ii) the order of queries, especially if queries share some common intermediate results. These two factors are related to two well known problems in databases: Buffer Management Problem (BMP) and Query Scheduling Problem (QSP). Usually, BMP and QSP are treated in the isolated way and their strong interaction is ignored by the existing solutions. This situation motivates us to consider the integrated problem including BMP and QSP. In this paper, we first propose a formalization of the integrated problem and show complexity. Secondly, three heuristics are proposed: naive, hill climbing and genetic algorithms dealing with our integrated problem. Finally, two intensive experiments are conducted: (1) theoretically using a cost model and (2) a real validation on Oracle11G.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116158294","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}
The simulation of complex systems is a time expensive and resource consuming task. Furthermore, the statistical validation of simulation models or the need to compare the system behavior in several different conditions require many simulation runs. A viable solution to speed up the process is to run multiple simulations in parallel on a distributed system, for example by means of a web interface. In this context, the cloud computing paradigm can be of help, offering almost unlimited computing resources that can be leased as a service. In this paper we will present the structure of a new simulation engine " in thecloud" (mJADES), which runs on the top of an ad-hoc federation of cloud providers and is designed to perform multiple concurrent simulations. Given a set of simulation tasks, mJADES is able automatically to acquire the computing resources needed from the cloud and to distribute the simulation runs to be executed.
{"title":"mJADES: Concurrent Simulation in the Cloud","authors":"M. Rak, Antonio Cuomo, Umberto Villano","doi":"10.1109/CISIS.2012.134","DOIUrl":"https://doi.org/10.1109/CISIS.2012.134","url":null,"abstract":"The simulation of complex systems is a time expensive and resource consuming task. Furthermore, the statistical validation of simulation models or the need to compare the system behavior in several different conditions require many simulation runs. A viable solution to speed up the process is to run multiple simulations in parallel on a distributed system, for example by means of a web interface. In this context, the cloud computing paradigm can be of help, offering almost unlimited computing resources that can be leased as a service. In this paper we will present the structure of a new simulation engine \" in thecloud\" (mJADES), which runs on the top of an ad-hoc federation of cloud providers and is designed to perform multiple concurrent simulations. Given a set of simulation tasks, mJADES is able automatically to acquire the computing resources needed from the cloud and to distribute the simulation runs to be executed.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125829861","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}
The execution of Geospatial applications usually requires large computational and storage resources due to the massive amount of data, high resolutions, and large geographical areas they are using. Different parallel and distributed environments, such as Cluster, Multicore, Grid, and Cloud satisfy mostly the necessary requirements for running such applications. Depending on application features, data model, and processing requirements, one of such environments could be more appropriate and efficient, and could offer better performances than other ones. This paper presents a study and experiments on solutions for optimum mapping of the execution of Geospatial applications onto parallel and distributed environments. The research explores and highlights as well the elements by which such mapping solutions converge toward an optimum.
{"title":"Mapping Geospatial Applications onto Parallel and Distributed Environments","authors":"D. Rodila, D. Gorgan","doi":"10.1109/CISIS.2012.152","DOIUrl":"https://doi.org/10.1109/CISIS.2012.152","url":null,"abstract":"The execution of Geospatial applications usually requires large computational and storage resources due to the massive amount of data, high resolutions, and large geographical areas they are using. Different parallel and distributed environments, such as Cluster, Multicore, Grid, and Cloud satisfy mostly the necessary requirements for running such applications. Depending on application features, data model, and processing requirements, one of such environments could be more appropriate and efficient, and could offer better performances than other ones. This paper presents a study and experiments on solutions for optimum mapping of the execution of Geospatial applications onto parallel and distributed environments. The research explores and highlights as well the elements by which such mapping solutions converge toward an optimum.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124737821","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}
Angelo Gaeta, M. Gaeta, F. Orciuoli, Pierluigi Ritrovato
The wealth of modern enterprises has progressively shifted from tangible assets (capital, resources,) into intangible ones (knowledge, reputation, skills management, innovation processes,). Intangibles are closely related to the natural interactions normally occurring among work practices. This is where ideas, innovation, learning, knowledge, social cohesion, and other diverse intangibles synergistically contribute to performance, competition differentiators and value creation. In order to make these intangibles productive for the organization, we have to define suitable models for their correct representation in real contexts, as well as tools for their proper management in the workplace environment in a transparent way. All these aspects are the foundation of the ARISTOTELE research project. In this paper, we address two issues: i) the use of semantic technologies for modeling and cross relating relevant organizational assets, namely knowledge, competency, worker and learning, ii) how to design a software architecture for managing these models through the integration of ad-hoc developed tools and commercial off-the-shelf platforms.
{"title":"Managing Semantic Models for Representing Intangible Enterprise Assets: The ARISTOTELE Project Software Architecture","authors":"Angelo Gaeta, M. Gaeta, F. Orciuoli, Pierluigi Ritrovato","doi":"10.1109/CISIS.2012.167","DOIUrl":"https://doi.org/10.1109/CISIS.2012.167","url":null,"abstract":"The wealth of modern enterprises has progressively shifted from tangible assets (capital, resources,) into intangible ones (knowledge, reputation, skills management, innovation processes,). Intangibles are closely related to the natural interactions normally occurring among work practices. This is where ideas, innovation, learning, knowledge, social cohesion, and other diverse intangibles synergistically contribute to performance, competition differentiators and value creation. In order to make these intangibles productive for the organization, we have to define suitable models for their correct representation in real contexts, as well as tools for their proper management in the workplace environment in a transparent way. All these aspects are the foundation of the ARISTOTELE research project. In this paper, we address two issues: i) the use of semantic technologies for modeling and cross relating relevant organizational assets, namely knowledge, competency, worker and learning, ii) how to design a software architecture for managing these models through the integration of ad-hoc developed tools and commercial off-the-shelf platforms.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124772618","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}
Cognitive systems represent a very significant emerging resource and architecting them is a very challenging activity. Useful design patterns for constructing such systems (from autonomous robots to intelligent information retrieval agents) are becoming increasingly important. An examination of over twenty existing cognitive systems has yielded several common design patterns. Rather than reinventing the wheel, these design patterns can be reused for architecting future cognitive systems.
{"title":"Patterns for Cognitive Systems","authors":"Michael S. P. Miller","doi":"10.1109/CISIS.2012.182","DOIUrl":"https://doi.org/10.1109/CISIS.2012.182","url":null,"abstract":"Cognitive systems represent a very significant emerging resource and architecting them is a very challenging activity. Useful design patterns for constructing such systems (from autonomous robots to intelligent information retrieval agents) are becoming increasingly important. An examination of over twenty existing cognitive systems has yielded several common design patterns. Rather than reinventing the wheel, these design patterns can be reused for architecting future cognitive systems.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125898133","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}
The aim of this paper is to illustrate a technique of integration between Tutor Bot and QR codes, used to label real objects during learning activities in direct educational contexts (egc. Situated learning and Authentic Learning). Tutor Bot knowledge base, structured in AIML (Artificial Intelligent Markup Language), is questioned in natural language using a mobile device (smart-phones, tablet, etc...) that, with a specific software decodes the instructions contained in a QR label placed on the real object observed by the learner. Through the information contained in the QR-Code Tutor Bot provides, in natural language, labeled object description and refers to further investigations: for example referring to multimedia resources related to the observed object. With the help of these tools, learners can expand their learning experience by interacting directly with a virtual tutor and real with the virtual world. With this technique, the activity of learning by doing, Situated Learning, Authentic Learning and Collaborative Learning, can be enhanced and virtualized by increasing the educational efficiency.
{"title":"Mobile Tutoring for Situated Learning and Collaborative Learning in AIML Application Using QR-Code","authors":"O. D. Pietro, Giovanni Frontera","doi":"10.1109/CISIS.2012.154","DOIUrl":"https://doi.org/10.1109/CISIS.2012.154","url":null,"abstract":"The aim of this paper is to illustrate a technique of integration between Tutor Bot and QR codes, used to label real objects during learning activities in direct educational contexts (egc. Situated learning and Authentic Learning). Tutor Bot knowledge base, structured in AIML (Artificial Intelligent Markup Language), is questioned in natural language using a mobile device (smart-phones, tablet, etc...) that, with a specific software decodes the instructions contained in a QR label placed on the real object observed by the learner. Through the information contained in the QR-Code Tutor Bot provides, in natural language, labeled object description and refers to further investigations: for example referring to multimedia resources related to the observed object. With the help of these tools, learners can expand their learning experience by interacting directly with a virtual tutor and real with the virtual world. With this technique, the activity of learning by doing, Situated Learning, Authentic Learning and Collaborative Learning, can be enhanced and virtualized by increasing the educational efficiency.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127408890","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}
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