The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference最新文献

英文中文

The Knowledge Graph Track at OAEI OAEI的知识图谱跟踪

The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference

Pub Date : 2020-02-24 DOI: 10.1007/978-3-030-49461-2_20

S. Hertling, Heiko Paulheim

引用次数: 29

The Semantic Web: 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31–June 4, 2020, Proceedings 语义网:第17届国际会议，ESWC 2020，伊拉克利翁，克里特岛，希腊，2020年5月31日至6月4日，论文集

The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference

Pub Date : 2020-01-01 DOI: 10.1007/978-3-030-49461-2

A. Harth, S. Kirrane, Heiko Paulheim, Anna Lisa Gentile, P. Haase, Michael Cochez, E. Bertino, A. N. Ngomo, A. Rula

引用次数: 1

Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion 知识库补全的双曲知识图嵌入

The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference

Pub Date : 2019-08-14 DOI: 10.1007/978-3-030-49461-2_12

Prodromos Kolyvakis, Alexandros Kalousis, D. Kiritsis

引用次数: 38

Legislative Document Content Extraction Based on Semantic Web Technologies 基于语义Web技术的立法文件内容抽取

The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference

Pub Date : 2019-01-01 DOI: 10.1007/978-3-030-21348-0_36

Francisco Cifuentes-Silva, J. E. Labra Gayo

引用次数: 2

The CEDAR Workbench: An Ontology-Assisted Environment for Authoring Metadata that Describe Scientific Experiments. CEDAR 工作台：用于编写描述科学实验的元数据的本体辅助环境。

The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference

Pub Date : 2017-10-01 Epub Date: 2017-10-04 DOI: 10.1007/978-3-319-68204-4_10

Rafael S Gonçalves, Martin J O'Connor, Marcos Martínez-Romero, Attila L Egyedi, Debra Willrett, John Graybeal, Mark A Musen

The Center for Expanded Data Annotation and Retrieval (CEDAR) aims to revolutionize the way that metadata describing scientific experiments are authored. The software we have developed-the CEDAR Workbench-is a suite of Web-based tools and REST APIs that allows users to construct metadata templates, to fill in templates to generate high-quality metadata, and to share and manage these resources. The CEDAR Workbench provides a versatile, REST-based environment for authoring metadata that are enriched with terms from ontologies. The metadata are available as JSON, JSON-LD, or RDF for easy integration in scientific applications and reusability on the Web. Users can leverage our APIs for validating and submitting metadata to external repositories. The CEDAR Workbench is freely available and open-source.

扩展数据注释和检索中心（CEDAR）旨在彻底改变科学实验元数据的编写方式。我们开发的软件--CEDAR 工作台--是一套基于网络的工具和 REST API，允许用户构建元数据模板、填写模板以生成高质量的元数据，以及共享和管理这些资源。CEDAR 工作台提供了一个基于 REST 的多功能环境，用于创建使用本体术语充实的元数据。元数据以 JSON、JSON-LD 或 RDF 格式提供，便于集成到科学应用中，并可在网络上重复使用。用户可以利用我们的应用程序接口验证元数据并将其提交到外部资源库。CEDAR 工作台是免费提供的开源软件。

引用次数: 0

BiOnIC: A Catalog of User Interactions with Biomedical Ontologies. BiOnIC：用户与生物医学本体互动目录。

The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference

Pub Date : 2017-10-01 Epub Date: 2017-10-04 DOI: 10.1007/978-3-319-68204-4_13

Maulik R Kamdar, Simon Walk, Tania Tudorache, Mark A Musen

BiOnIC is a catalog of aggregated statistics of user clicks, queries, and reuse counts for access to over 200 biomedical ontologies. BiOnIC also provides anonymized sequences of classes accessed by users over a period of four years. To generate the statistics, we processed the access logs of BioPortal, a large open biomedical ontology repository. We publish the BiOnIC data using DCAT and SKOS metadata standards. The BiOnIC catalog has a wide range of applicability, which we demonstrate through its use in three different types of applications. To our knowledge, this type of interaction data stemming from a real-world, large-scale application has not been published before. We expect that the catalog will become an important resource for researchers and developers in the Semantic Web community by providing novel insights into how ontologies are explored, queried and reused. The BiOnIC catalog may ultimately assist in the more informed development of intelligent user interfaces for semantic resources through interface customization, prediction of user browsing and querying behavior, and ontology summarization. The BiOnIC catalog is available at: http://onto-apps.stanford.edu/bionic.

BiOnIC 是一个用户点击、查询和重复使用次数的汇总统计目录，用于访问 200 多个生物医学本体。BiOnIC 还提供了四年内用户访问类的匿名序列。为了生成统计数据，我们处理了大型开放式生物医学本体库 BioPortal 的访问日志。我们使用 DCAT 和 SKOS 元数据标准发布 BiOnIC 数据。BiOnIC 目录具有广泛的适用性，我们通过它在三种不同类型应用中的使用证明了这一点。据我们所知，这种源自真实世界的大规模应用的交互数据以前从未发布过。我们希望该目录能够为本体如何被探索、查询和重用提供新的见解，从而成为语义网社区研究人员和开发人员的重要资源。通过界面定制、用户浏览和查询行为预测以及本体总结，BiOnIC 目录最终将有助于为语义资源开发更明智的智能用户界面。BiOnIC目录的网址为：http://onto-apps.stanford.edu/bionic。

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引用次数: 0

An underwater wearable computer for two way human-dolphin communication experimentation 用于人-海豚双向交流实验的水下可穿戴计算机

The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference

Pub Date : 2013-09-08 DOI: 10.1145/2493988.2494346

Daniel Kohlsdorf, Scott M. Gilliland, P. Presti, Thad Starner, D. Herzing

Research in dolphin cognition and communication in the wild is still a challenging task for marine biologists. Most problems arise from the uncontrolled nature of field studies and the challenges of building suitable underwater research equipment. We present a novel underwater wearable computer enabling researchers to engage in an audio-based interaction between humans and dolphins. The design requirements are based on a research protocol developed by a team of marine biologists associated with the Wild Dolphin Project.

对于海洋生物学家来说，研究野生海豚的认知和交流仍然是一项具有挑战性的任务。大多数问题来自于野外研究的不可控性质和建造合适的水下研究设备的挑战。我们提出了一种新型的水下可穿戴计算机，使研究人员能够在人类和海豚之间进行基于音频的互动。设计要求是基于一组与野生海豚项目有关的海洋生物学家制定的研究协议。

引用次数: 10

Confidence-based multiclass AdaBoost for physical activity monitoring 基于信心的多类别AdaBoost用于身体活动监测

The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference

Pub Date : 2013-09-08 DOI: 10.1145/2493988.2494325

Attila Reiss, D. Stricker, Gustaf Hendeby

Physical activity monitoring has recently become an important topic in wearable computing, motivated by e.g. healthcare applications. However, new benchmark results show that the difficulty of the complex classification problems exceeds the potential of existing classifiers. Therefore, this paper proposes the ConfAdaBoost.M1 algorithm. The proposed algorithm is a variant of the AdaBoost.M1 that incorporates well established ideas for confidence based boosting. The method is compared to the most commonly used boosting methods using benchmark datasets from the UCI machine learning repository and it is also evaluated on an activity recognition and an intensity estimation problem, including a large number of physical activities from the recently released PAMAP2 dataset. The presented results indicate that the proposed ConfAdaBoost.M1 algorithm significantly improves the classification performance on most of the evaluated datasets, especially for larger and more complex classification tasks.

最近，受医疗保健等应用的推动，身体活动监测已成为可穿戴计算的一个重要主题。然而，新的基准测试结果表明，复杂分类问题的难度超过了现有分类器的潜力。因此，本文提出了ConfAdaBoost。M1算法。所提出的算法是AdaBoost的一种变体。M1包含了基于信心的增强的成熟理念。该方法与使用UCI机器学习存储库中的基准数据集的最常用增强方法进行了比较，并且还对活动识别和强度估计问题进行了评估，包括来自最近发布的PAMAP2数据集的大量体育活动。给出的结果表明，所提出的ConfAdaBoost。M1算法在大多数被评估的数据集上显著提高了分类性能，特别是对于更大更复杂的分类任务。

引用次数: 30

Preference, context and communities: a multi-faceted approach to predicting smartphone app usage patterns 偏好、环境和社区:预测智能手机应用使用模式的多方位方法

The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference

Pub Date : 2013-09-08 DOI: 10.1145/2493988.2494333

Ye Xu, Mu Lin, Hong Lu, Giuseppe Cardone, N. Lane, Zhenyu Chen, A. Campbell, Tanzeem Choudhury

Reliable smartphone app prediction can strongly benefit both users and phone system performance alike. However, real-world smartphone app usage behavior is a complex phenomena driven by a number of competing factors. In this pa- per, we develop an app usage prediction model that leverages three key everyday factors that affect app usage decisions -- (1) intrinsic user app preferences and user historical patterns; (2) user activities and the environment as observed through sensor-based contextual signals; and, (3) the shared aggregate patterns of app behavior that appear in various user communities. While rapid progress has been made recently in smartphone app prediction, existing prediction models tend to focus on only one of these factors. We evaluate a multi-faceted approach to prediction using (1) a 3-week 35-user field trial, along with (2) analysis of app usage logs of 4,606 smartphone users worldwide. We find our app usage model can not only produce more robust app predictions than conventional techniques, but it can also enable significant smartphone system optimizations.

可靠的智能手机应用预测对用户和手机系统性能都大有裨益。然而，现实世界的智能手机应用使用行为是一个复杂的现象，受到许多竞争因素的驱动。在本文中，我们开发了一个应用使用预测模型，该模型利用了影响应用使用决策的三个关键日常因素——(1)用户固有的应用偏好和用户历史模式;(2)通过基于传感器的上下文信号观察到的用户活动和环境;(3)出现在不同用户群体中的应用行为的共享聚合模式。虽然最近在智能手机应用预测方面取得了快速进展，但现有的预测模型往往只关注其中一个因素。我们使用(1)为期3周的35名用户现场试验，以及(2)分析全球4,606名智能手机用户的应用程序使用日志来评估多方面的预测方法。我们发现，我们的应用使用模型不仅可以比传统技术产生更可靠的应用预测，而且还可以实现重要的智能手机系统优化。

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引用次数: 134

Personalized mobile physical activity recognition 个性化移动身体活动识别

The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference

Pub Date : 2013-09-08 DOI: 10.1145/2493988.2494349

Attila Reiss, D. Stricker

Personalization of activity recognition has become a topic of interest recently. This paper presents a novel concept, using a set of classifiers as general model, and retraining only the weight of the classifiers with new labeled data from a previously unknown subject. Experiments with different methods based on this concept show that it is a valid approach for personalization. An important benefit of the proposed concept is its low computational cost compared to other approaches, making it also feasible for mobile applications. Moreover, more advanced classifiers (e.g. boosted decision trees) can be combined with the new concept, to achieve good performance even on complex classification tasks. Finally, a new algorithm is introduced based on the proposed concept, which outperforms existing methods, thus further increasing the performance of personalized applications.

活动识别的个性化是近年来人们关注的一个话题。本文提出了一个新颖的概念，使用一组分类器作为一般模型，并且仅使用来自未知主题的新标记数据重新训练分类器的权值。基于这一概念的不同方法的实验表明，它是一种有效的个性化方法。与其他方法相比，所提出的概念的一个重要优点是其计算成本低，使其也适用于移动应用程序。此外，更高级的分类器(例如增强决策树)可以与新概念相结合，即使在复杂的分类任务上也能获得良好的性能。最后，在此基础上提出了一种优于现有方法的新算法，从而进一步提高了个性化应用的性能。

引用次数: 50

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