Proceedings of the 13th International Conference on Semantic Systems最新文献

Semantic Annotation of Heterogeneous Data Sources: Towards an Integrated Information Framework for Service Technicians 异构数据源的语义标注:面向服务技术人员的集成信息框架

Proceedings of the 13th International Conference on Semantic Systems Pub Date : 2017-09-11 DOI: 10.1145/3132218.3132221

Sebastian R. Bader, Jan Oevermann

{"title":"Semantic Annotation of Heterogeneous Data Sources: Towards an Integrated Information Framework for Service Technicians","authors":"Sebastian R. Bader, Jan Oevermann","doi":"10.1145/3132218.3132221","DOIUrl":"https://doi.org/10.1145/3132218.3132221","url":null,"abstract":"Service technicians in the domain of industrial maintenance require extensive technical knowledge and experience to complete their tasks. Some of the needed knowledge is made available as document-based technical manuals or reports from previous deployments. Unfortunately, due to the great amount of data, service technicians spend a considerable amount of working time searching for the correct information. Another challenge is posed by the fact that valuable insights from operation reports are not yet considered due to insufficient textual quality and content-wise ambiguity. In this work we propose a framework to annotate and integrate these heterogeneous data sources to make them available as information units through Linked Data technologies. We use machine learning to modularize and classify information from technical manuals together with ontology-based autocompletion to enrich reports with clearly defined concepts. By combining both approaches we can provide an unified and structured interface for manual and automated querying. We verify our approach by measuring precision and recall of information for typical retrieval tasks for service technicians, and show that our framework can provide substantial improvements for service and maintenance processes.","PeriodicalId":362802,"journal":{"name":"Proceedings of the 13th International Conference on Semantic Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115621467","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

Investigating the interpretability of hidden layers in deep text mining 研究深度文本挖掘中隐藏层的可解释性

Proceedings of the 13th International Conference on Semantic Systems Pub Date : 2017-09-11 DOI: 10.1145/3132218.3132240

S. Raaijmakers, Maya Sappelli, Wessel Kraaij

引用次数: 7

Trying Not to Die Benchmarking: Orchestrating RDF and Graph Data Management Solution Benchmarks Using LITMUS 尝试不死基准测试:使用LITMUS编排RDF和图数据管理解决方案基准测试

Proceedings of the 13th International Conference on Semantic Systems Pub Date : 2017-09-11 DOI: 10.1145/3132218.3132232

Harsh Thakkar, Yashwant Keswani, Mohnish Dubey, Jens Lehmann, S. Auer

引用次数: 15

Supporting virtual integration of Linked Data with just-in-time query recompilation 支持关联数据与即时查询重新编译的虚拟集成

Proceedings of the 13th International Conference on Semantic Systems Pub Date : 2017-09-11 DOI: 10.1145/3132218.3132227

A. Adamou, M. d’Aquin, Carlo Allocca, E. Motta

引用次数: 1

Adaptable Interfaces, Interactions, and Processing for Linked Data Platform Components 关联数据平台组件的可适应接口、交互和处理

Proceedings of the 13th International Conference on Semantic Systems Pub Date : 2017-09-11 DOI: 10.1145/3132218.3132243

Felix Leif Keppmann, M. Maleshkova, A. Harth

{"title":"Adaptable Interfaces, Interactions, and Processing for Linked Data Platform Components","authors":"Felix Leif Keppmann, M. Maleshkova, A. Harth","doi":"10.1145/3132218.3132243","DOIUrl":"https://doi.org/10.1145/3132218.3132243","url":null,"abstract":"Currently, we are witnessing the rise of new technology-driven trends such as the Internet of Things, Web of Things, and Factories of the Future that are accompanied by an increasingly heterogeneous landscape of highly modularized devices and pervasion of network-accessible \"things\" within all areas of life. At the same time, we can observe increasing complexity of the task of integrating subsets of heterogeneous components into applications that fulfil certain needs by providing value-added functionality beyond the pure sum of their components. Enabling integration in these multi-stakeholder scenarios requires new architectural approaches for adapting components, while building on existing technologies and thus ensuring broader acceptance. To this end, we present our approach on adaptation, that introduces adaptable interfaces, interactions, and processing for Linked Data Platform components. In addition, we provide an implementation of our approach that enables the adaptation of components via a thin meta-layer defined on top of the components' domain data and functionality. Finally, we evaluate our implementation by using a distributed benchmark environment and adapting interfaces, interactions, and processing of the involved components at runtime.","PeriodicalId":362802,"journal":{"name":"Proceedings of the 13th International Conference on Semantic Systems","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126346023","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

Proceedings of the 13th International Conference on Semantic Systems Pub Date : 2017-09-11 DOI: 10.1145/3132218.3132224

Najmeh Mousavi Nejad, S. Scerri, S. Auer

引用次数: 7

Ontology-guided Job Market Demand Analysis: A Cross-Sectional Study for the Data Science field 本体论导向的就业市场需求分析:数据科学领域的横断面研究

Proceedings of the 13th International Conference on Semantic Systems Pub Date : 2017-09-11 DOI: 10.1145/3132218.3132228

E. Sibarani, S. Scerri, C. Morales, S. Auer, D. Collarana

{"title":"Ontology-guided Job Market Demand Analysis: A Cross-Sectional Study for the Data Science field","authors":"E. Sibarani, S. Scerri, C. Morales, S. Auer, D. Collarana","doi":"10.1145/3132218.3132228","DOIUrl":"https://doi.org/10.1145/3132218.3132228","url":null,"abstract":"The rapid changes in the job market, including a continuous year-on-year increase in new skills in sectors like information technology, has resulted in new challenges for job seekers and educators alike. The former feel less informed about which skills they should acquire to raise their competitiveness, whereas the latter are inadequately prepared to offer courses that meet the expectations by fast-evolving sectors like data science. In this paper, we describe efforts to obtain job demand data and employ a information extraction method guided by a purposely-designed vocabulary to identify skills requested by the job vacancies. The Ontology-based Information Extraction (OBIE) method employed relies on the Skills and Recruitment Ontology (SARO), which we developed to represent job postings in the context of skills and competencies needed to fill a job role. Skill demand by employers is then abstracted using co-word analysis based on a set of skill keywords and their co-occurrences in the job posts. This method reveals the technical skills in demand together with their structure for revealing significant linkages. In an evaluation, the performance of the OBIE method for automatic skill annotation is estimated (strict F-measure) at 79%, which is satisfactory given that human inter-annotator agreement was found to be automatic keyword indexing with an overall strict F-measure at 94%. In a secondary study, sample skill maps generated from the matrix of co-occurrences and correlation are presented and discussed as proof-of-concept, highlighting the potential of using the extracted OBIE data for more advanced analysis that we plan as future work, including time series analysis.","PeriodicalId":362802,"journal":{"name":"Proceedings of the 13th International Conference on Semantic Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115274669","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: 32

LOD-a-lot: A Single-File Enabler for Data Science LOD-a-lot:数据科学的单一文件推动者

Proceedings of the 13th International Conference on Semantic Systems Pub Date : 2017-09-11 DOI: 10.1145/3132218.3132241

W. Beek, Javier D. Fernández, R. Verborgh

引用次数: 4

Linked Data Reactor: Towards Data-aware User Interfaces 关联数据反应器:迈向数据感知用户界面

Proceedings of the 13th International Conference on Semantic Systems Pub Date : 2017-09-11 DOI: 10.1145/3132218.3132231

A. Khalili, K. A. D. Graaf

引用次数: 10

Benchmarking Faceted Browsing Capabilities of Triplestores 对Triplestores的分面浏览功能进行基准测试

Proceedings of the 13th International Conference on Semantic Systems Pub Date : 2017-09-11 DOI: 10.1145/3132218.3132242

Henning Petzka, Claus Stadler, Georgios Katsimpras, Bastian Haarmann, Jens Lehmann

引用次数: 6