EAGER: Visual Analytics for Ontology Matching
EAGER:本体匹配的可视化分析
基本信息
- 批准号:1143926
- 负责人:
- 金额:$ 15万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-09-01 至 2016-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Ontologies are developed to provide semantics for a particular domain and to support information retrieval, reasoning and knowledge discovery. However, as separate groups develop ontologies, there is a need to combine or match ontologies to support connecting information across heterogeneous sources. Ontology matching is a complicated process that stems from the need to involve several types of matching algorithms that take into account syntactic, lexical, structural, instance, and logic features of the ontologies. The current support provided to users to understand and evaluate the results provided by ontology matching systems is very limited; therefore ontology matching is an arduous and time consuming task. This exploratory project focuses on development of a novel approach to ontology matching that employs visual analytics to guide the users in the process. It is expected to result in increased quality of resulting ontologies while also reducing the time and effort of experts involved in ontology matching.Visual analytics is at the confluence of information visualization, data analytics, and data transformation. This project explores the potential of visual analytics to effectively assist real-time decisions by domain experts and ontology researchers alike during the ontology matching process. The project is organized around three key research challenges:(1) Visualization: Data and analytically extracted features need to be encoded into rich visualizations that can be effectively manipulated. In particular, visualizations should lend themselves well to complex transformations that facilitate the discernment of trends or patterns.(2) Architecture: The interaction between the automatic matching and the visual analytics modules is central to the proposed approach. The envisioned architecture will support a quality-controlled feedback loop in which users will intervene to change the analytic and visual parameters of the system.(3) Performance evaluation: Performance measures will be developed to objectively identify the obtained gains in terms of the effort saved by users and of the quality of the matching results as enabled by the proposed visual analytics approach to ontology matching.If successful, this proof-of-concept project is expected to make a significant contribution in effective ontology matching that in turn will enable semantically enriched access to complex, heterogeneous, and distributed data to an increasing number of users in a variety of domains. Research results, including developed software, will be made available via the project web site (http://agreementmaker.org/wiki/index.php/Visual_Analytics). The project provides research experience to students and results from this research will be included in the computer science curriculum.
本体的开发是为了为特定领域提供语义并支持信息检索、推理和知识发现。然而,由于独立的组开发本体,因此需要联合收割机或匹配本体以支持跨异构源的连接信息。 本体匹配是一个复杂的过程,这是因为需要涉及几种类型的匹配算法,这些算法考虑到本体的语法、词汇、结构、实例和逻辑特征。目前的支持提供给用户理解和评价本体匹配系统提供的结果是非常有限的,因此本体匹配是一个艰巨和耗时的任务。这个探索性项目的重点是开发一种新的本体匹配方法,该方法采用可视化分析来指导用户进行匹配。它有望提高生成的本体的质量,同时减少参与本体匹配的专家的时间和精力。可视化分析是信息可视化、数据分析和数据转换的融合。该项目探讨了可视化分析的潜力,以有效地帮助领域专家和本体研究人员在本体匹配过程中的实时决策。该项目围绕三个关键的研究挑战进行组织:(1)可视化:数据和分析提取的特征需要编码为可以有效操作的丰富可视化。特别是,可视化应该很好地适用于复杂的转换,以促进趋势或模式的识别。(2)架构:自动匹配和可视化分析模块之间的交互是所提出的方法的核心。设想的架构将支持一个质量控制的反馈回路,其中用户将进行干预,以改变系统的分析和视觉参数。(3)业绩评价:将制定性能指标,以客观地确定所获得的收益,即用户节省的工作量和所提出的本体匹配可视化分析方法所实现的匹配结果的质量。如果成功,这一概念验证项目预计将在有效的本体匹配方面做出重大贡献,从而使语义丰富的访问复杂,异构,并将数据分发给各种领域中越来越多的用户。研究结果,包括开发的软件,将通过项目网站(http://agreementmaker.org/wiki/index.php/Visual_Analytics)提供。该项目为学生提供研究经验,研究结果将纳入计算机科学课程。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
OAEI 2016 results of AML
- DOI:
- 发表时间:2016
- 期刊:
- 影响因子:0
- 作者:Daniel Faria;Catia Pesquita;B. Balasubramani;Catarina Martins;João Cardoso;H. Curado;Francisco M. Couto;I. Cruz
- 通讯作者:Daniel Faria;Catia Pesquita;B. Balasubramani;Catarina Martins;João Cardoso;H. Curado;Francisco M. Couto;I. Cruz
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Maria Cruz其他文献
46.3 TOURETTE'S DISORDER TREATMENT: PARENT REPORTS OF TRIALS AND TRIBULATIONS
- DOI:
10.1016/j.jaac.2020.08.374 - 发表时间:
2020-10-01 - 期刊:
- 影响因子:
- 作者:
Maria Cruz;Cynthia Fundora;Barbara Coffey - 通讯作者:
Barbara Coffey
Cloning and tissue distribution of Leptin mRNA in the pig
猪瘦素 mRNA 的克隆和组织分布
- DOI:
- 发表时间:
1997 - 期刊:
- 影响因子:0
- 作者:
J. Mendiola;M. Janzen;Maria Cruz;C. Louis - 通讯作者:
C. Louis
2.52 SUICIDAL IDEATION/SELF-HARM IN CHILDREN AND ADOLESCENTS WITH TIC DISORDERS
- DOI:
10.1016/j.jaac.2019.08.144 - 发表时间:
2019-10-01 - 期刊:
- 影响因子:
- 作者:
Maria Cruz;Cynthia Fundora;Irene Malaty;Diana Shineman;Barbara J. Coffey - 通讯作者:
Barbara J. Coffey
Evaluation of the educational needs in Argentine patients with rheumatoid arthritis using the SpENAT questionnaire
使用 SpENAT 问卷评估阿根廷类风湿关节炎患者的教育需求
- DOI:
10.1016/j.reumae.2018.09.014 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
S. Pérez;Maria Cruz;Julia Sosa;Paula Kohan;M. J. L. Medina;D. Klajn;S. Papasidero;J. Caracciolo;G. Pendón;F. Giordano;D. Pereira;Damaris Alvarez;Valeria Astudillo;E. Kerzberg;A. P. Dávila;A. Bohr;F. Melo;N. Lloves;M. Mamani;C. Hartvig;Gabriela Sanchez;M. Sacnum;Y. Chichotky;J. Zamora;M. Benegas;J. Rosa;María;L. Raiti;Vanesa Cruzat;R. Quintana;B. Pons;K. Kirmayr;A. D'orazio;C. Retamozo;O. Romano;R. P. Alamino;M. Correa;G. Citera;O. Rillo;M. Zalazar;A. Costi;M. A. García;G. Gómez;H. M. Ficco - 通讯作者:
H. M. Ficco
Frozen embryo transfer after PGT-A cycles: To wait or not to wait?
- DOI:
10.1016/j.medre.2020.09.003 - 发表时间:
2020-09-01 - 期刊:
- 影响因子:
- 作者:
Maria Cerrillo;Maria Cruz;Natalia Basile;Alfredo Guillen;Fernando Bronet;Juan Antonio García-Velasco - 通讯作者:
Juan Antonio García-Velasco
Maria Cruz的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Maria Cruz', 18)}}的其他基金
CPS: Synergy: Collaborative Research: Mapping and Querying Underground Infrastructure Systems
CPS:协同:协作研究:测绘和查询地下基础设施系统
- 批准号:
1646395 - 财政年份:2016
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
CyberSEES: Type 2: Data Integration for Urban Metabolism
CyberSEES:类型 2:城市新陈代谢的数据集成
- 批准号:
1331800 - 财政年份:2013
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
US-Based Students Support to Attend the ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2011 (ACM SIGSPATIAL GIS 2011)
支持美国学生参加 2011 年 ACM SIGSPATIAL 地理信息系统进展国际会议 (ACM SIGSPATIAL GIS 2011)
- 批准号:
1141235 - 财政年份:2011
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
Collaborative Research: Workshop on Confidential Data Collection for Innovation Analysis in Organizations to be held in Microsoft headquarters in September 2009 -- Redmond, WA.
协作研究:组织创新分析机密数据收集研讨会将于 2009 年 9 月在微软总部(华盛顿州雷德蒙德)举行。
- 批准号:
0943282 - 财政年份:2009
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
III-COR-Small: Efficient Matching for Large Real-World Schemas and Ontologies
III-COR-Small:大型现实世界模式和本体的高效匹配
- 批准号:
0812258 - 财政年份:2008
- 资助金额:
$ 15万 - 项目类别:
Continuing Grant
Collaborative Research: Information Integration for Locating and Querying Geospatial Data
协作研究:定位和查询地理空间数据的信息集成
- 批准号:
0513553 - 财政年份:2005
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
ITR: Collaborative Research: Context-Aware Computing with Applications to Public Health Management
ITR:协作研究:上下文感知计算及其在公共卫生管理中的应用
- 批准号:
0326284 - 财政年份:2003
- 资助金额:
$ 15万 - 项目类别:
Continuing Grant
International Semantic Web Working Symposium
国际语义网络工作研讨会
- 批准号:
0120811 - 财政年份:2001
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
Visual Query Languages for Database Systems
数据库系统的可视化查询语言
- 批准号:
9896052 - 财政年份:1997
- 资助金额:
$ 15万 - 项目类别:
Continuing Grant
Visual Query Languages for Database Systems
数据库系统的可视化查询语言
- 批准号:
9625105 - 财政年份:1996
- 资助金额:
$ 15万 - 项目类别:
Continuing Grant
相似国自然基金
基于多幅图象的Visual Hull重构及表面属性建模算法研究
- 批准号:60373031
- 批准年份:2003
- 资助金额:23.0 万元
- 项目类别:面上项目
相似海外基金
CAREER: Promoting Metacognition in Visual Analytics
职业:促进视觉分析中的元认知
- 批准号:
2340539 - 财政年份:2024
- 资助金额:
$ 15万 - 项目类别:
Continuing Grant
Cloud-Based Machine Learning and Biomarker Visual Analytics for Salivary Proteomics
基于云的机器学习和唾液蛋白质组生物标志物可视化分析
- 批准号:
10827649 - 财政年份:2023
- 资助金额:
$ 15万 - 项目类别:
Visual Analytics for Exploration and Hypothesis Generation Using Highly MultiplexedSpatial Data of Tissues and Tumors
使用组织和肿瘤的高度多重空间数据进行探索和假设生成的可视化分析
- 批准号:
10743329 - 财政年份:2023
- 资助金额:
$ 15万 - 项目类别:
EFRI BRAID: Neuroscience Inspired Visual Analytics
EFRI BRAID:神经科学启发的视觉分析
- 批准号:
2318101 - 财政年份:2023
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
Guided Analytics for the Visual Exploration of Higher Dimensional Data
高维数据可视化探索的引导分析
- 批准号:
RGPIN-2022-03894 - 财政年份:2022
- 资助金额:
$ 15万 - 项目类别:
Discovery Grants Program - Individual
Visual analytics for time-dependent data
时间相关数据的可视化分析
- 批准号:
RGPIN-2018-05508 - 财政年份:2022
- 资助金额:
$ 15万 - 项目类别:
Discovery Grants Program - Individual
Using data augmentation, active learning, and visual analytics for learning with limited examples on mobility data sets
使用数据增强、主动学习和可视化分析,通过移动数据集的有限示例进行学习
- 批准号:
DGECR-2022-00386 - 财政年份:2022
- 资助金额:
$ 15万 - 项目类别:
Discovery Launch Supplement
Immersive Visual Analytics for Reservoir Characterization and Analysis
用于油藏表征和分析的沉浸式可视化分析
- 批准号:
534866-2019 - 财政年份:2022
- 资助金额:
$ 15万 - 项目类别:
Alexander Graham Bell Canada Graduate Scholarships - Doctoral
Studying Visual Analytics Support for Interactive Information Retrieval within Complex Search Settings
研究复杂搜索设置中交互式信息检索的视觉分析支持
- 批准号:
RGPIN-2017-06446 - 财政年份:2022
- 资助金额:
$ 15万 - 项目类别:
Discovery Grants Program - Individual