2011 IEEE Fifth International Conference on Semantic Computing最新文献

Understanding Cancer-Based Networks in Twitter Using Social Network Analysis 利用社交网络分析了解Twitter中基于癌症的网络

2011 IEEE Fifth International Conference on Semantic Computing Pub Date : 2011-09-18 DOI: 10.1109/ICSC.2011.51

D. Murthy, Alexander Gross, Daniela Oliveira

引用次数: 26

Using Metamodels to Improve Product Models and Facilitate Inferencing 使用元模型改进产品模型并促进推理

2011 IEEE Fifth International Conference on Semantic Computing Pub Date : 2011-09-18 DOI: 10.1109/ICSC.2011.59

P. Witherell, A. Narayanan, Jae-Hyun Lee

引用次数: 1

Model-Driven Development: Where Does the Code Come From? 模型驱动开发:代码从何而来?

2011 IEEE Fifth International Conference on Semantic Computing Pub Date : 2011-09-18 DOI: 10.1109/ICSC.2011.76

Jicheng Fu, Wei Hao, F. Bastani, I. Yen

{"title":"Model-Driven Development: Where Does the Code Come From?","authors":"Jicheng Fu, Wei Hao, F. Bastani, I. Yen","doi":"10.1109/ICSC.2011.76","DOIUrl":"https://doi.org/10.1109/ICSC.2011.76","url":null,"abstract":"Model-driven development (MDD) drastically changes the traditional view of software modeling, which no longer serves merely as documentation that will be put aside at a certain point during the development. Instead, MDD has made models an integral part of the development process. As a result, software designers and developers can focus on high-level problem solving instead of low-level implementation details. However, the current research focus is on model transformations and overlooks the importance of code generation, which includes the generation of infrastructural code (the static aspects of the system) and business code (the behavioral aspects of the system). In this paper, we first analyze the root cause about why existing MDD approaches are only good at generating the infrastructural code. Then, we propose a comprehensive approach that considers functional, dynamic, and object modeling. This approach is able to generate both infrastructural and business code. Finally, we present a case study to evaluate the proposed approach. Through this case study, we identify some insights on automated code generation in MDD. Our results demonstrate that it is not only likely, but also possible to fully automate the code generation process in MDD.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125419368","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: 3

A Web Coverage Ontology for Geospatial Web Applications 地理空间Web应用的Web覆盖本体

2011 IEEE Fifth International Conference on Semantic Computing Pub Date : 2011-09-18 DOI: 10.1109/ICSC.2011.73

Xia Wang, Jinsongdi Yu, P. Baumann

引用次数: 4

WiGipedia: A Tool for Improving Structured Data in Wikipedia 维基百科:一个改进维基百科结构化数据的工具

2011 IEEE Fifth International Conference on Semantic Computing Pub Date : 2011-09-18 DOI: 10.1109/ICSC.2011.8

Svetlin Bostandjiev, J. O'Donovan, Christopher Hall, Brynjar Gretarsson, Tobias Höllerer

引用次数: 11

Annotating Spatial Interpretations of German Prepositions 德语介词的空间解释注释

2011 IEEE Fifth International Conference on Semantic Computing Pub Date : 2011-09-18 DOI: 10.1109/ICSC.2011.46

Antje Müller, Claudia Roch, Tobias Stadtfeld, T. Kiss

引用次数: 11

Detecting Recurring Themes in Personal Media Collections 检测个人媒体集合中重复出现的主题

2011 IEEE Fifth International Conference on Semantic Computing Pub Date : 2011-09-18 DOI: 10.1109/ICSC.2011.70

M. Das, A. Loui

{"title":"Detecting Recurring Themes in Personal Media Collections","authors":"M. Das, A. Loui","doi":"10.1109/ICSC.2011.70","DOIUrl":"https://doi.org/10.1109/ICSC.2011.70","url":null,"abstract":"The goal of this work is to automatically detect frequently occurring groups of media in a user's collection that have a unifying theme. These groups provide a narrative structure that ties in images that are temporally far apart and cannot be browsed easily. The media in the collection is analyzed by a variety of algorithms to generate metadata of different types. The media and associated metadata are represented as a transactional database, and frequent item set mining is employed to detect frequently occurring groups of images that share several metadata in common. It is expected that a user's primary picture-taking interests (e.g., baby, garden, school sports, etc.), will appear as groups based on some combination of underlying metadata. A confidence and interest measure relevant to the consumer domain is used to determine the quality of the frequent item sets and create a list of the top \"themes\" within the collection. We also detect annually recurring groups in multi-year collections, as these capture common themes such as birthdays and holidays. Because the detected recurring groups are strictly data-driven (with no a priori assumptions about a user's collection), they are customized to the type of content in specific user's collections. Experiments with large user collections show the usefulness of our approach.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114795237","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

Identifying Routine and Telltale Activity Patterns in Knowledge Work 识别知识工作中的例行性和可泄露性活动模式

2011 IEEE Fifth International Conference on Semantic Computing Pub Date : 2011-09-18 DOI: 10.1109/ICSC.2011.12

Oliver Brdiczka, V. Bellotti

{"title":"Identifying Routine and Telltale Activity Patterns in Knowledge Work","authors":"Oliver Brdiczka, V. Bellotti","doi":"10.1109/ICSC.2011.12","DOIUrl":"https://doi.org/10.1109/ICSC.2011.12","url":null,"abstract":"Our research addresses the question as to whether automatically collected quantitative data about people's behavior online can be analyzed to spot patterns that indicate behaviors of interest. Based on ethnographic studies, we find that people, going about their routine work, exhibit patterns in terms of their routine online activities and work rhythms. Such patterns can be comprised of many diverse types of events occurring over arbitrary durations. For example, they might include timing, duration and frequency of particular uses of hardware and software resources, manipulations of content, communication acts and so on. We use ethnography to identify and target significant patterns and computer logging to collect data on computer events that can be analyzed to find reliable correlates of those patterns. In this paper we discuss our methods and their potential for the development of novel types of applications that can identify normal activities and also spot telltale or deviant patterns. Such applications could be useful to users directly by providing helpful resources and content automatically or to the enterprise in general by automatically detecting performance problems, deleterious behaviors, or malicious activities.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123616790","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: 5

NII-KAORI-PERSON-SEARCH: A General Framework for Indexing and Retrieving People's Appearance in Large Video Archives 大型视频档案中人物形象索引与检索的通用框架

2011 IEEE Fifth International Conference on Semantic Computing Pub Date : 2011-09-18 DOI: 10.1109/ICSC.2011.90

Duy-Dinh Le, T. Ngo, S. Satoh

引用次数: 1

Semantic Service Retrieval Based on Natural Language Querying and Semantic Similarity 基于自然语言查询和语义相似度的语义服务检索

2011 IEEE Fifth International Conference on Semantic Computing Pub Date : 2011-09-18 DOI: 10.1109/ICSC.2011.44

Richard Eckart de Castilho, Iryna Gurevych

引用次数: 3