Nils Rodrigues, Michael Burch, Lorenzo Di Silvestro, D. Weiskopf
We investigate the problem of analyzing word frequencies in multiple text sources with the aim to give an overview of word-based similarities in several texts as a starting point for further analysis. To reach this goal, we designed a visual analytics approach composed of typical stages and processes, combining algorithmic analysis, visualization techniques, the human users with their perceptual abilities, as well as interaction methods for both the data analysis and the visualization component. By our algorithmic analysis, we first generate a multivariate dataset where words build the cases and the individual text sources the attributes. Real-valued relevances express the significances of each word in each of the text sources. From the visualization perspective, we describe how this multivariate dataset can be visualized to generate, confirm, rebuild, refine, or reject hypotheses with the goal to derive meaning, knowledge, and insights from several text sources. We discuss benefits and drawbacks of the visualization approaches when analyzing word relevances in multiple texts.
{"title":"A Visual Analytics Approach for Word Relevances in Multiple Texts","authors":"Nils Rodrigues, Michael Burch, Lorenzo Di Silvestro, D. Weiskopf","doi":"10.1109/iV.2017.62","DOIUrl":"https://doi.org/10.1109/iV.2017.62","url":null,"abstract":"We investigate the problem of analyzing word frequencies in multiple text sources with the aim to give an overview of word-based similarities in several texts as a starting point for further analysis. To reach this goal, we designed a visual analytics approach composed of typical stages and processes, combining algorithmic analysis, visualization techniques, the human users with their perceptual abilities, as well as interaction methods for both the data analysis and the visualization component. By our algorithmic analysis, we first generate a multivariate dataset where words build the cases and the individual text sources the attributes. Real-valued relevances express the significances of each word in each of the text sources. From the visualization perspective, we describe how this multivariate dataset can be visualized to generate, confirm, rebuild, refine, or reject hypotheses with the goal to derive meaning, knowledge, and insights from several text sources. We discuss benefits and drawbacks of the visualization approaches when analyzing word relevances in multiple texts.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127610698","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 emergence of new types of high performance hardware also drives the need for new programming models. The Open Community Runtime (OCR) proposal uses a task-based programming model to target some of these architectures. In OCR, the whole program from start to end needs to be expressed using tasks and synchronized using task-to-task dependences, significantly limiting the applicability and usefulness of existing approaches to application development and debugging. In this paper, we present our approach to visualizing tasks and their synchronization, based on trace data from application execution. This way, the application developer may compare the intended organization of the tasks with the actual dependences as they are seen by the OCR runtime system.
新型高性能硬件的出现也推动了对新编程模型的需求。开放社区运行时(Open Community Runtime, OCR)建议使用基于任务的编程模型来针对其中的一些体系结构。在OCR中，整个程序从头到尾都需要使用任务来表示，并使用任务对任务的依赖来同步，这极大地限制了现有方法在应用程序开发和调试中的适用性和有用性。在本文中，我们提出了基于应用程序执行的跟踪数据来可视化任务及其同步的方法。通过这种方式，应用程序开发人员可以将预期的任务组织与OCR运行时系统所看到的实际依赖项进行比较。
{"title":"Visualization of Open Community Runtime Task Graphs","authors":"J. Dokulil, J. Katreniaková","doi":"10.1109/iV.2017.31","DOIUrl":"https://doi.org/10.1109/iV.2017.31","url":null,"abstract":"The emergence of new types of high performance hardware also drives the need for new programming models. The Open Community Runtime (OCR) proposal uses a task-based programming model to target some of these architectures. In OCR, the whole program from start to end needs to be expressed using tasks and synchronized using task-to-task dependences, significantly limiting the applicability and usefulness of existing approaches to application development and debugging. In this paper, we present our approach to visualizing tasks and their synchronization, based on trace data from application execution. This way, the application developer may compare the intended organization of the tasks with the actual dependences as they are seen by the OCR runtime system.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134137980","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 research uses visual analytics to better understand genome dynamics, through a novel application of topological data analysis (TDA) to time series gene expression data. TDA is a model-free approach in which relations are obtained directly from the data. We build the dynamics of the system into the topology, then calculate the influence of potential regulatory genes over the expression of other genes. An interactive 3D visualization is provided to aid in the discovery of functional relationships. These capabilities are contained in a new R package. We apply our technique to synthetic data from the DREAM4 gene regulatory network inference challenge and compare our results to both the challenge submissions and those produced by networkBMA, a Bioconductor package designed to work with time series gene expression data. A case study is presented detailing the use of the visual analytics tool.
{"title":"Visualizing Dynamic Gene Interactions to Reverse Engineer Gene Regulatory Networks Using Topological Data Analysis","authors":"Miriam Perkins, Karen M. Daniels","doi":"10.1109/iV.2017.9","DOIUrl":"https://doi.org/10.1109/iV.2017.9","url":null,"abstract":"This research uses visual analytics to better understand genome dynamics, through a novel application of topological data analysis (TDA) to time series gene expression data. TDA is a model-free approach in which relations are obtained directly from the data. We build the dynamics of the system into the topology, then calculate the influence of potential regulatory genes over the expression of other genes. An interactive 3D visualization is provided to aid in the discovery of functional relationships. These capabilities are contained in a new R package. We apply our technique to synthetic data from the DREAM4 gene regulatory network inference challenge and compare our results to both the challenge submissions and those produced by networkBMA, a Bioconductor package designed to work with time series gene expression data. A case study is presented detailing the use of the visual analytics tool.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121153873","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}
In recent years a great debate has aroused concerning the deep transformations triggered by the so-called "digital revolution" in all research fields. Architecture has been highly affected by this phenomenon but, while it is commonplace to measure these changes in terms of "science", much less popular are those aspects connected with the Humanities integrated in any architectural work. History of Architecture represents from this standpoint a perfect example of how new digital tools and approaches can help to disclose novel research opportunities. The paper presents two projects regarding the Vatican Basilica (the Sangallo's wooden model for the New St. Peter and the reconstruction of St. Peter's square "the day before" the moving of the Vatican Obelisk led by Domenico Fontana) as paradigmatic showcases.
{"title":"Innovative Digital Heuristic Approaches in Architectural Historical Research","authors":"C. Bianchini, Alessandro Viscogliosi, A. Aglietti","doi":"10.1109/iV.2017.47","DOIUrl":"https://doi.org/10.1109/iV.2017.47","url":null,"abstract":"In recent years a great debate has aroused concerning the deep transformations triggered by the so-called \"digital revolution\" in all research fields. Architecture has been highly affected by this phenomenon but, while it is commonplace to measure these changes in terms of \"science\", much less popular are those aspects connected with the Humanities integrated in any architectural work. History of Architecture represents from this standpoint a perfect example of how new digital tools and approaches can help to disclose novel research opportunities. The paper presents two projects regarding the Vatican Basilica (the Sangallo's wooden model for the New St. Peter and the reconstruction of St. Peter's square \"the day before\" the moving of the Vatican Obelisk led by Domenico Fontana) as paradigmatic showcases.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122223167","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 analysis of incidents is important for preventing collisions between moving objects. However, it requires that many cases of incidents be collected as target data. The purpose of this study was to develop a method that supports the collection of many cases of anomalous (near-miss) approach from massive movement data. To achieve this, a relative superposition method is proposed. Relative superposition is a type of visualization method, in which the trajectories of pairs of moving objects are transformed, focusing on their relative positional relationships. The method is expected to facilitate the search for anomalous approach cases. This paper describes five types of relative superposition, together with a visual tool in which they are implemented. Moreover, it presents a case study in which anomalous approach cases of ships were searched by applying the tool to actual the automatic identification system (AIS) data.
{"title":"Visual Tool for Extracting Anomalous Approaches of Moving Objects","authors":"Kouhei Hamada, Takahiro Saito, Kazuo Misue","doi":"10.1109/iV.2017.24","DOIUrl":"https://doi.org/10.1109/iV.2017.24","url":null,"abstract":"The analysis of incidents is important for preventing collisions between moving objects. However, it requires that many cases of incidents be collected as target data. The purpose of this study was to develop a method that supports the collection of many cases of anomalous (near-miss) approach from massive movement data. To achieve this, a relative superposition method is proposed. Relative superposition is a type of visualization method, in which the trajectories of pairs of moving objects are transformed, focusing on their relative positional relationships. The method is expected to facilitate the search for anomalous approach cases. This paper describes five types of relative superposition, together with a visual tool in which they are implemented. Moreover, it presents a case study in which anomalous approach cases of ships were searched by applying the tool to actual the automatic identification system (AIS) data.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132231522","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}
In this paper, we propose an approach that uses software metrics to comprehend attributes of a codebase: maintainability, reusability, or complexity. This approach is new because it uses gathered metrics as the basis to associate musical sounds to source code classes. These sounds are arranged to compose a melody that can be both visualized (as a musical score) and played. We named this new way to deal with a codebase: software musification. To prove the validity of our proposal, we show a sample of its application. The main goal of this paper is to show our promising idea and to present research achievements at the early stages of our research.
{"title":"Software Musification","authors":"Andrea Mancino, G. Scanniello","doi":"10.1109/iV.2017.28","DOIUrl":"https://doi.org/10.1109/iV.2017.28","url":null,"abstract":"In this paper, we propose an approach that uses software metrics to comprehend attributes of a codebase: maintainability, reusability, or complexity. This approach is new because it uses gathered metrics as the basis to associate musical sounds to source code classes. These sounds are arranged to compose a melody that can be both visualized (as a musical score) and played. We named this new way to deal with a codebase: software musification. To prove the validity of our proposal, we show a sample of its application. The main goal of this paper is to show our promising idea and to present research achievements at the early stages of our research.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128387867","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}
C. D. Medio, Fabio Gasparetti, C. Limongelli, F. Sciarrone
The organization of the information in the knowledge economy hasbecome a priority business process. Better organization leads tofaster retrieval of relevant information. The process of searchingand sequencing didactic materials for course building is anarticulated and time-consuming process that requires considerableeffort by the user. The goal of this research is to implement aplatform for supporting the course building from Wikipedia articles. The selected materials will be automatically sequenced on the baseof prerequisite relation, in order to provide a knowledge graph, editable by the teacher, with prerequisite relationships, representing the optimum learning path for the students.
{"title":"Automatic Extraction and Sequencing of Wikipedia Pages for Smart Course Building","authors":"C. D. Medio, Fabio Gasparetti, C. Limongelli, F. Sciarrone","doi":"10.1109/IV.2017.75","DOIUrl":"https://doi.org/10.1109/IV.2017.75","url":null,"abstract":"The organization of the information in the knowledge economy hasbecome a priority business process. Better organization leads tofaster retrieval of relevant information. The process of searchingand sequencing didactic materials for course building is anarticulated and time-consuming process that requires considerableeffort by the user. The goal of this research is to implement aplatform for supporting the course building from Wikipedia articles. The selected materials will be automatically sequenced on the baseof prerequisite relation, in order to provide a knowledge graph, editable by the teacher, with prerequisite relationships, representing the optimum learning path for the students.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114963936","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}
Shoko Sawada, T. Itoh, T. Misaka, S. Obayashi, Tobias Czauderna, Kingsley Stephens
Fluid dynamics simulation is often repeated while changing conditions, and therefore we need to compare a large amount of results. In order to compare results under different conditions, it is effective to overlap the streamlines generated from each condition in a single 3D space. Streamline is a curved line which represents a wind flow. This paper presents a technique to automatically select and visualize important streamlines suitable for comparison of the simulation results. In addition, we present an implementation to observe the flow fields in virtual reality spaces.
{"title":"Streamline Selection for Comparative Visualization of 3D Fluid Simulation Result","authors":"Shoko Sawada, T. Itoh, T. Misaka, S. Obayashi, Tobias Czauderna, Kingsley Stephens","doi":"10.1109/iV.2017.60","DOIUrl":"https://doi.org/10.1109/iV.2017.60","url":null,"abstract":"Fluid dynamics simulation is often repeated while changing conditions, and therefore we need to compare a large amount of results. In order to compare results under different conditions, it is effective to overlap the streamlines generated from each condition in a single 3D space. Streamline is a curved line which represents a wind flow. This paper presents a technique to automatically select and visualize important streamlines suitable for comparison of the simulation results. In addition, we present an implementation to observe the flow fields in virtual reality spaces.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133195756","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：