2017 IEEE 11th International Conference on Semantic Computing (ICSC)最新文献

A Behavior-Based Ontology for Supporting Automated Assessment of Interactive Systems 支持交互系统自动评估的基于行为的本体

2017 IEEE 11th International Conference on Semantic Computing (ICSC) Pub Date : 2019-05-24 DOI: 10.1109/ICSC.2017.73

T. Silva, Jean-Luc Hak, M. Winckler

{"title":"A Behavior-Based Ontology for Supporting Automated Assessment of Interactive Systems","authors":"T. Silva, Jean-Luc Hak, M. Winckler","doi":"10.1109/ICSC.2017.73","DOIUrl":"https://doi.org/10.1109/ICSC.2017.73","url":null,"abstract":"Nowadays many software development frameworks implement Behavior-Driven Development (BDD) as a mean of automating the test of interactive systems under construction. Automated testing helps to simulate user's action on the User Interface and therefore check if the system behaves properly and in accordance to Scenarios that describe functional requirements. However, most of tools supporting BDD requires that tests should be written using low-level events and components that only exist when the system is already implemented. As a consequence of such low-level of abstraction, BDD tests can hardly be reused with diverse artifacts and with versions of the system. To address this problem, this paper proposes to raise the abstraction level by the means of a behavior-based ontology that is aimed at supporting test automation. The paper presents an ontology and an ontology-based approach for automating the test of functional requirements of interactive systems. With the help of a case study for the flight tickets e-commerce domain, we demonstrate how tests written using our ontology can be used to assess functional requirements using different artifacts, from low-fidelity to full-fledged UI Prototypes.","PeriodicalId":414503,"journal":{"name":"2017 IEEE 11th International Conference on Semantic Computing (ICSC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127196326","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}

引用次数: 19

A Methodology for Improving Vegetation Representation and Health Exploiting a Semantic Robotic System 利用语义机器人系统改进植被表征和健康的方法

2017 IEEE 11th International Conference on Semantic Computing (ICSC) Pub Date : 2018-04-04 DOI: 10.1109/ICSC.2017.58

D. D’Auria, Fabio Persia

引用次数: 0

Reasoning-Supported Robustness Validation of Automotive E/E Components 基于推理支持的汽车机电部件鲁棒性验证

2017 IEEE 11th International Conference on Semantic Computing (ICSC) Pub Date : 2017-12-25 DOI: 10.1142/S1793351X17400190

Jan Novacek, A. Viehl, O. Bringmann, W. Rosenstiel

{"title":"Reasoning-Supported Robustness Validation of Automotive E/E Components","authors":"Jan Novacek, A. Viehl, O. Bringmann, W. Rosenstiel","doi":"10.1142/S1793351X17400190","DOIUrl":"https://doi.org/10.1142/S1793351X17400190","url":null,"abstract":"This paper presents an ontology-supported approach to tackle the complexity of the Robustness Validation (RV) process of automotive electrical/electronic (E/E) components. The approach uses formalized knowledge from the RV process and stress, operating, and load profiles, so-called Mission Profiles (MPs). In contrast to the error-prone industrially established manual procedure, we show how component characteristics are formalized in OWL in order to form the foundation of an efficient automated analysis selection and decision support during the RV process. The proposed approach is based on the idea of mapping MPs to an OWL representation so to allow to perform semantic queries against MP data to improve their integration into the RV process. The resulting ontology-supported application framework has been applied to an industrial use-case from automotive power electronics. We present experimental results showing that the RV process can be significantly improved in terms of reduced design time and increased exhaustiveness by automating the analyses selection step and the provisioning of all the relevant data to be used.","PeriodicalId":414503,"journal":{"name":"2017 IEEE 11th International Conference on Semantic Computing (ICSC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115294771","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}

引用次数: 2

Overview of an Ontology-Based Approach for Kit Building Applications 基于本体的工具箱构建应用程序方法概述

2017 IEEE 11th International Conference on Semantic Computing (ICSC) Pub Date : 2017-11-09 DOI: 10.1109/ICSC.2017.97

Z. Kootbally, T. Kramer, C. Schlenoff, Satyandra K. Gupta

引用次数: 8

Semantic ETL — State-of-the-Art and Open Research Challenges 语义ETL——最新的和开放的研究挑战

2017 IEEE 11th International Conference on Semantic Computing (ICSC) Pub Date : 2017-03-29 DOI: 10.1109/ICSC.2017.94

Jaydeep Chakraborty, A. Padki, S. Bansal

引用次数: 13

Information Retrieval from a Structured KnowledgeBase 结构化知识库中的信息检索

2017 IEEE 11th International Conference on Semantic Computing (ICSC) Pub Date : 2017-03-29 DOI: 10.1109/ICSC.2017.95

Avani Chandurkar, A. Bansal

{"title":"Information Retrieval from a Structured KnowledgeBase","authors":"Avani Chandurkar, A. Bansal","doi":"10.1109/ICSC.2017.95","DOIUrl":"https://doi.org/10.1109/ICSC.2017.95","url":null,"abstract":"With the inception of World Wide Web, the amount of data present on the internet is tremendous. This makes the task of navigating through this enormous amount of data quite difficult for the user. As users struggle to navigate through this wealth of information, the need for the development of an automated system that can extract the required information becomes urgent. This paper presents a Question Answering system to ease the process of information retrieval. Question Answering systems have been around for quite some time and are a sub-field of information retrieval and natural language processing. The task of any Question Answering system is to seek an answer to a free form factual question. The difficulty of pinpointing and verifying the precise answer makes question answering more challenging than simple information retrieval done by search engines. The research objective of this paper is to develop a novel approach to Question Answering based on a composition of conventional approaches of Information Retrieval (IR) and Natural Language processing (NLP). The focus is also on exploring the use of a structured and annotated knowledge base as opposed to an unstructured knowledge base. The knowledge base used here is DBpedia and the final system is evaluated on the Text REtrieval Conference (TREC) 2004 questions dataset.","PeriodicalId":414503,"journal":{"name":"2017 IEEE 11th International Conference on Semantic Computing (ICSC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126297559","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}

引用次数: 13

MicroSIA: A Gut-Microbes Information-Extraction Method with Semantic Inverse Analysis for Discovering Unique Bacteria-Combinations in Nationality MicroSIA:一种基于语义逆分析的肠道微生物信息提取方法，用于发现民族独特的细菌组合

2017 IEEE 11th International Conference on Semantic Computing (ICSC) Pub Date : 2017-03-29 DOI: 10.1109/ICSC.2017.65

Shiori Hikichi, Y. Kiyoki

{"title":"MicroSIA: A Gut-Microbes Information-Extraction Method with Semantic Inverse Analysis for Discovering Unique Bacteria-Combinations in Nationality","authors":"Shiori Hikichi, Y. Kiyoki","doi":"10.1109/ICSC.2017.65","DOIUrl":"https://doi.org/10.1109/ICSC.2017.65","url":null,"abstract":"Extraction of gut-microbes information is important for analyzing the effects on human gut microbiome from the difference of human attributes such as nationality, gender, age and so on. It is pointed out that human gut microbiome, a set of bacteria, has various pathological and biological impacts on a hosting human body system. However, analyzing and estimating such kinds of impact from biological data resources are difficult even for data analysts with biological background. This paper presents MicroSIA, a new analytical method for human gut microbiome's effect by extracting the unknown relations with other adjunct metadata such as human attributes with Semantic Inverse Analysis. The most important feature of our method is the inverse processes (Semantic Inverse Analysis, computing the selection of axes in inversed direction to clustering) to discover potentially existing bacteria-combinations for classifying nationalities in human attribute data. MicroSIA extracts unique bacteria-combination selected from all bacteria-combinations by our original criteria such as the purity of a data cluster and the range of target human attributes. This paper also presents experimental studies on gut-microbes information acquisition to show the feasibility and the effectiveness of our method.","PeriodicalId":414503,"journal":{"name":"2017 IEEE 11th International Conference on Semantic Computing (ICSC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126030055","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}

引用次数: 1

Supporting Semantic Capture during Kinesthetic Teaching of Collaborative Industrial Robots 协同工业机器人动觉教学中的语义捕获支持

2017 IEEE 11th International Conference on Semantic Computing (ICSC) Pub Date : 2017-03-29 DOI: 10.1109/ICSC.2017.40

Maj Stenmark, M. Haage, E. A. Topp, J. Malec

引用次数: 11

Solving the Singularity Problem of Semiconductor Process Signal Using Improved Dynamic Time Warping 利用改进的动态时间翘曲解决半导体过程信号的奇异性问题

2017 IEEE 11th International Conference on Semantic Computing (ICSC) Pub Date : 2017-03-29 DOI: 10.1109/ICSC.2017.16

Jae Yeol Hong, S. Park, Jun-Geol Baek

{"title":"Solving the Singularity Problem of Semiconductor Process Signal Using Improved Dynamic Time Warping","authors":"Jae Yeol Hong, S. Park, Jun-Geol Baek","doi":"10.1109/ICSC.2017.16","DOIUrl":"https://doi.org/10.1109/ICSC.2017.16","url":null,"abstract":"In the micro process such as semiconductor process, Variation of variables directly affects the quality of the end product. So, it is important to monitor and manage the fluctuations in the variable. At this time, the signal is generated. However, the signal has a moving average and non-uniform variance, and different lengths in specific portion. Also it has a different total length. Recently, the DTW(Dynamic Time Warping) is used to coordinate of signal. However, the mean and variance of the signal is not uniform, there arises a problem that the singularity occurs. Singularity means unintuitive alignments that single point in time series connects onto a portion of another time series. To solve the problem that the singularity occurs, in this paper, we propose to use MODWT (Maximal Overlap Discrete Wavelet Transform) as a feature of signal and then calculate the warping path using divided matrices. We solve the singularity problem when applying the DTW to process the signal. Also, by comparing the result of applying process signal to DTW and proposed method, the proposed method is confirmed to be better than DTW in process signal.","PeriodicalId":414503,"journal":{"name":"2017 IEEE 11th International Conference on Semantic Computing (ICSC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124315406","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}

引用次数: 2

A Multi-modal Platform for Semantic Music Analysis: Visualizing Audio-and Score-Based Tension 语义音乐分析的多模态平台:可视化音频和基于乐谱的张力

2017 IEEE 11th International Conference on Semantic Computing (ICSC) Pub Date : 2017-03-29 DOI: 10.1109/ICSC.2017.49

Dorien Herremans, C. Chuan

{"title":"A Multi-modal Platform for Semantic Music Analysis: Visualizing Audio-and Score-Based Tension","authors":"Dorien Herremans, C. Chuan","doi":"10.1109/ICSC.2017.49","DOIUrl":"https://doi.org/10.1109/ICSC.2017.49","url":null,"abstract":"Musicologists, music cognition scientists and others have long studied music in all of its facets. During the last few decades, research in both score and audio technology has opened the doors for automated, or (in many cases) semi-automated analysis. There remains a big gap, however, between the field of audio (performance) and score-based systems. In this research, we propose a web-based Interactive system for Multi-modal Music Analysis (IMMA), that provides musicologists with an intuitive interface for a joint analysis of performance and score. As an initial use-case, we implemented a tension analysis module in the system. Tension is a semantic characteristic of music that directly shapes the music experience and thus forms a crucial topic for researchers in musicology and music cognition. The module includes methods for calculating tonal tension (from the score) and timbral tension (from the performance). An audio-to-score alignment algorithm based on dynamic time warping was implemented to automate the synchronization between the audio and score analysis. The resulting system was tested on three performances (violin, flute, and guitar) of Paganini's Caprice No. 24 and four piano performances of Beethoven's Moonlight Sonata. We statistically analyzed the results of tonal and timbral tension and found correlations between them. A clustering algorithm was implemented to find segments of music (both within and between performances) with similar shape in their tension curve. These similar segments are visualized in IMMA. By displaying selected audio and score characteristics together with musical score following in sync with the performance playback, IMMA offers a user-friendly intuitive interface to bridge the gap between audio and score analysis.","PeriodicalId":414503,"journal":{"name":"2017 IEEE 11th International Conference on Semantic Computing (ICSC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115007579","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}

引用次数: 10