Proceedings of the 12th International Conference on Semantic Systems最新文献_第3页

EULAide: Interpretation of End-User License Agreements using Ontology-Based Information Extraction 使用基于本体的信息抽取的最终用户许可协议的解释

Proceedings of the 12th International Conference on Semantic Systems Pub Date : 2016-09-12 DOI: 10.1145/2993318.2993324

Najmeh Mousavi Nejad, S. Scerri, S. Auer, E. Sibarani

{"title":"EULAide: Interpretation of End-User License Agreements using Ontology-Based Information Extraction","authors":"Najmeh Mousavi Nejad, S. Scerri, S. Auer, E. Sibarani","doi":"10.1145/2993318.2993324","DOIUrl":"https://doi.org/10.1145/2993318.2993324","url":null,"abstract":"Ignoring End-User License Agreements (EULAs) for online services due to their length and complexity is a risk undertaken by the majority of online and mobile service users. This paper presents an Ontology-Based Information Extraction (OBIE) method for EULA term and phrase extraction to facilitate a better understanding by humans. An ontology capturing important terms and relationships has been developed and used to guide the OBIE process. Through a feedback cycle we have improved its domain-specific coverage by identifying additional concepts. In the detection and extraction, we focus on three key rights and conditions: permission, prohibition and duty. We present the EULAide system, which comprises a custom information extraction pipeline and a number of custom extraction rules tailored for EULA processing. To evaluate our approach, we created and manually annotated a corpus of 20 well-known licenses. For the gold standard we achieved an Inter-Annotator Agreement (IAA) of 90%, resulting in 193 permissions, 185 prohibitions and 168 duties. An evaluation of the OBIE pipeline against this gold standard resulted in an F-measure of 70-74% which, in the context of the IAA, proves the feasibility of the approach.","PeriodicalId":177013,"journal":{"name":"Proceedings of the 12th International Conference on Semantic Systems","volume":"307 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129572977","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

Exploring Dynamics and Semantics of User Interests for User Modeling on Twitter for Link Recommendations 探索用户兴趣的动态和语义，为Twitter上的链接推荐用户建模

Proceedings of the 12th International Conference on Semantic Systems Pub Date : 2016-09-12 DOI: 10.1145/2993318.2993332

Guangyuan Piao, J. Breslin

{"title":"Exploring Dynamics and Semantics of User Interests for User Modeling on Twitter for Link Recommendations","authors":"Guangyuan Piao, J. Breslin","doi":"10.1145/2993318.2993332","DOIUrl":"https://doi.org/10.1145/2993318.2993332","url":null,"abstract":"User modeling for individual users on the Social Web plays an important role and is a fundamental step for personalization as well as recommendations. Recent studies have proposed different user modeling strategies considering various dimensions such as temporal dynamics and semantics of user interests. Although previous work proposed different user modeling strategies considering the temporal dynamics of user interests, there is a lack of comparative studies on those methods and therefore the comparative performance over each other is unknown. In terms of semantics of user interests, background knowledge from DBpedia has been explored to enrich user interest profiles so as to reveal more information about users. However, it is still unclear to what extent different types of information from DBpedia contribute to the enrichment of user interest profiles. In this paper, we propose user modeling strategies which use Concept Frequency - Inverse Document Frequency (CF-IDF) as a weighting scheme and incorporate either or both of the dynamics and semantics of user interests. To this end, we first provide a comparative study on different user modeling strategies considering the dynamics of user interests in previous literature to present their comparative performance. In addition, we investigate different types of information (i.e., categories, classes and connected entities via various properties) for entities from DBpedia and the combination of them for extending user interest profiles. Finally, we build our user modeling strategies incorporating either or both of the best-performing methods in each dimension. Results show that our strategies outperform two baseline strategies significantly in the context of link recommendations on Twitter.","PeriodicalId":177013,"journal":{"name":"Proceedings of the 12th International Conference on Semantic Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131065013","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: 39

DBtrends: Exploring Query Logs for Ranking RDF Data DBtrends:探索RDF数据排序的查询日志

Proceedings of the 12th International Conference on Semantic Systems Pub Date : 2016-09-12 DOI: 10.1145/2993318.2993322

Edgard Marx, A. Zaveri, Diego Moussallem, Sandro Rautenberg

引用次数: 9

Automating Financial Regulatory Compliance Using Ontology+Rules and Sunflower 使用本体+规则和向日葵自动化金融法规遵从性

Proceedings of the 12th International Conference on Semantic Systems Pub Date : 2016-09-12 DOI: 10.1145/2993318.2993329

Reginald Ford, G. Denker, D. Elenius, Wesley Moore, Elie Abi-Lahoud

引用次数: 7

Enhancing Marine Industry Risk Management Through Semantic Reconciliation of Underwater IoT Data Streams 通过水下物联网数据流的语义协调加强海洋行业风险管理

Proceedings of the 12th International Conference on Semantic Systems Pub Date : 2016-09-12 DOI: 10.1145/2993318.2993330

Gianluca Correndo, Simon Crowle, J. Papay, M. Boniface

{"title":"Enhancing Marine Industry Risk Management Through Semantic Reconciliation of Underwater IoT Data Streams","authors":"Gianluca Correndo, Simon Crowle, J. Papay, M. Boniface","doi":"10.1145/2993318.2993330","DOIUrl":"https://doi.org/10.1145/2993318.2993330","url":null,"abstract":"The \"Rio+20\" United Nations Conference on Sustainable Development (UNCSD) focused on the \"Green economy\" as the main concept to fight poverty and achieve a sustainable way to feed the planet. For coastal countries, this concept translates into \"Blue economy\", the sustainable exploitation of marine environments to fulfill humanity needs for resources, energy, and food. This puts a stress on marine industries to better articulate their processes to gain and share knowledge of different marine habitats, and to reevaluate the data value chains established in the past and to support a data fueled market that is going only to in the near future. The EXPOSURES project is working in conjunction with the SUNRISE project to establish a new marine information ecosystem and demonstrate how the 'Internet of Things' (IoT) can be exploited for marine applications. In particular EXPOSURES engaged with the community of stakeholders in order to identify a new data value chain which includes IoT data providers, data analysts, and harbor authorities. Moreover we integrated the key technological assets that couple OGC standards for raster data management and manipulation and semantic technologies to better manage data assets. This paper presents the identified data value chain along with the use cases for validating it, and the system developed to semantically reconcile and manage such data collections.","PeriodicalId":177013,"journal":{"name":"Proceedings of the 12th International Conference on Semantic Systems","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129835832","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

KESeDa: Knowledge Extraction from Heterogeneous Semi-Structured Data Sources 从异构半结构化数据源中提取知识

Proceedings of the 12th International Conference on Semantic Systems Pub Date : 2016-09-12 DOI: 10.1145/2993318.2993335

Martin Seidel, M. Krug, Frank Burian, M. Gaedke

引用次数: 2

Distributed Collaboration on RDF Datasets Using Git: Towards the Quit Store 使用Git的RDF数据集的分布式协作:走向退出存储

Proceedings of the 12th International Conference on Semantic Systems Pub Date : 2016-09-12 DOI: 10.1145/2993318.2993328

Natanael Arndt, Norman Radtke, Michael Martin

引用次数: 13

A Supervised KeyPhrase Extraction System 一个有监督的关键词提取系统

Proceedings of the 12th International Conference on Semantic Systems Pub Date : 2016-09-12 DOI: 10.1145/2993318.2993323

K. Adebayo, Luigi Di Caro, G. Boella

引用次数: 12

Don't compare Apples to Oranges: Extending GERBIL for a fine grained NEL evaluation 不要比较苹果和橘子:扩展GERBIL进行细粒度NEL评估

Proceedings of the 12th International Conference on Semantic Systems Pub Date : 2016-09-12 DOI: 10.1145/2993318.2993334

J. Waitelonis, Henrik Jürges, Harald Sack

引用次数: 13

Semantic Processing for the Conversion of Unstructured Documents into Structured Information in the Enterprise Context 企业环境中非结构化文档向结构化信息转换的语义处理

Proceedings of the 12th International Conference on Semantic Systems Pub Date : 2016-09-12 DOI: 10.1145/2993318.2993341

Adam Bartusiak, Jörg Lässig

{"title":"Semantic Processing for the Conversion of Unstructured Documents into Structured Information in the Enterprise Context","authors":"Adam Bartusiak, Jörg Lässig","doi":"10.1145/2993318.2993341","DOIUrl":"https://doi.org/10.1145/2993318.2993341","url":null,"abstract":"We present an on-going research project addressing the problem of massive amounts of unstructured data that is generated on a daily basis in most business organisations, regardless of size. Our motivation is to support in particular small and medium seized enterprises to gain a competitive advantage in the market. The goal is to improve their processes for extracting valuable business information from such disorganised data. To achieve this, we introduce a flexible and scalable data analysis framework capable of transforming various types of documents into semantically annotated structures. This includes emails, text files in various formats, slide presentations, blog entries, etc. Additionally, the solution provides a semantic search engine for structured retrieval of the analyzed information and a graphical layer to dynamically visualize the search results as an interactive graph. Throughout the paper, the architecture of two main engines that are responsible for data and text analysis and semantic search are described. We conclude that semantic processing of unstructured sources significantly improves data management and data integration within the enterprises.","PeriodicalId":177013,"journal":{"name":"Proceedings of the 12th International Conference on Semantic Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132450055","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: 0