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Companion Proceedings of the The Web Conference 2018最新文献

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PixieDust: Declarative Incremental User Interface Rendering Through Static Dependency Tracking 通过静态依赖跟踪的声明式增量用户界面渲染
Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3185978
Nick ten Veen, D. Harkes, E. Visser
{"title":"PixieDust: Declarative Incremental User Interface Rendering Through Static Dependency Tracking","authors":"Nick ten Veen, D. Harkes, E. Visser","doi":"10.1145/3184558.3185978","DOIUrl":"https://doi.org/10.1145/3184558.3185978","url":null,"abstract":"Modern web applications are interactive. Reactive programming languages and libraries are the state-of-the-art approach for declara- tively specifying these interactive applications. However, programs written with these approaches contain error-prone boilerplate code for e ciency reasons. In this paper we present PixieDust, a declarative user-interface language for browser-based applications. PixieDust uses static de- pendency analysis to incrementally update a browser-DOM at run- time, without boilerplate code. We demonstrate that applications in PixieDust contain less boilerplate code than state-of-the-art ap- proaches, while achieving on-par performance.","PeriodicalId":235572,"journal":{"name":"Companion Proceedings of the The Web Conference 2018","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128904550","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
MapSQ: A Plugin-based MapReduce Framework for SPARQL Queries on GPU MapSQ:基于插件的MapReduce框架，用于GPU上的SPARQL查询
Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3186939
Jiaming Song, Xiaowang Zhang, Peng Peng, Zhiyong Feng, Lei Zou
{"title":"MapSQ: A Plugin-based MapReduce Framework for SPARQL Queries on GPU","authors":"Jiaming Song, Xiaowang Zhang, Peng Peng, Zhiyong Feng, Lei Zou","doi":"10.1145/3184558.3186939","DOIUrl":"https://doi.org/10.1145/3184558.3186939","url":null,"abstract":"In this paper, we present a plugin-based framework (MapSQ) with three parts for SPARQL queries utilizing high-performance of GPU to accelerate answering in a convenient way. Selector chooses suitable join order according to characteristics of data and queries. Executor answers subqueries and returns intermediate solutions and GPU Computing obtains the join result of intermediate solutions through MapReduce. Finally, we evaluate MapSQ bulit on gStore and RDF-3X on the LUBM benchmark and YAGO datasets (over 200 million triples). The experimental results show that MapSQ significantly improves the performance of SPARQL query engines with speedup up to 33.","PeriodicalId":235572,"journal":{"name":"Companion Proceedings of the The Web Conference 2018","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127839620","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
Workshop Chairs' Welcome 工作坊主席欢迎
Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3192327
Eyhab Al-Masri, M. Rousset
{"title":"Workshop Chairs' Welcome","authors":"Eyhab Al-Masri, M. Rousset","doi":"10.1145/3184558.3192327","DOIUrl":"https://doi.org/10.1145/3184558.3192327","url":null,"abstract":"It is our great pleasure to welcome you to the WWW 2018 Workshops. This year's workshops of WWW 2018 feature a number of co-located workshops that are intended to provide a forum for researchers and practitioners in Web technologies to discuss and exchange positions on current and emergent Web topics. We received forty proposals from all around the world covering a broad range of topics. We evaluated them regarding relevance, quality, and novelty selecting eighteen full-day workshops and ten half-day workshops. We also took into account the coverage of the different areas related to WWW as well as the potential audience, to schedule them in two consecutive days with the minimal audience interest overlap.","PeriodicalId":235572,"journal":{"name":"Companion Proceedings of the The Web Conference 2018","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127424410","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
TempWeb 2018 Chairs' Welcome and Organization temweb2018主席欢迎及组织
Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3192324
M. Spaniol, R. Baeza-Yates, J. Masanès
{"title":"TempWeb 2018 Chairs' Welcome and Organization","authors":"M. Spaniol, R. Baeza-Yates, J. Masanès","doi":"10.1145/3184558.3192324","DOIUrl":"https://doi.org/10.1145/3184558.3192324","url":null,"abstract":"Time is a key dimension to understand the Web. It is fair to say that it has not received yet all the attention it deserves and TempWeb is an attempt to help remedy this situation by putting time as the center of its reflection. Studying time in this context actually covers a large spectrum, from the extraction of temporal information and knowledge, to diachronic studies for the design of infrastructural and experimental settings enabling a proper observation of this dimension.","PeriodicalId":235572,"journal":{"name":"Companion Proceedings of the The Web Conference 2018","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124589133","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
Ease and Ethics of User Profiling in Black Mirror 黑镜中用户分析的易用性和道德性
Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3191614
H. Pandit, D. Lewis
{"title":"Ease and Ethics of User Profiling in Black Mirror","authors":"H. Pandit, D. Lewis","doi":"10.1145/3184558.3191614","DOIUrl":"https://doi.org/10.1145/3184558.3191614","url":null,"abstract":"The use of personal data is a double-edged sword that on one side provides benefits through personalisation and user profiling, while the other raises several ethical and moral implications that impede technological progress. Laws often try to reflect the shifting values of social perception, such as the General Data Protection Regulation (GDPR) catering to explicit consent over use of personal data, though actions may still be legal without being perceived as acceptable. Black Mirror is a TV series that serves to imagine scenarios that test the boundary of such perceptions, and is often described as being futuristic. In this paper, we discuss how existing technologies have already coalesced towards calculating a probability metric or rating as presented by the episode 'Nosedive'. We present real-world instances of such technologies and their applications, and how they can be easily expanded using the interminable web. The dilemma posed by the ethics of such technological applications is discussed using the 'Ethics Canvas', our methodology and tool for encouraging discussions on ethical implications in responsible innovation.","PeriodicalId":235572,"journal":{"name":"Companion Proceedings of the The Web Conference 2018","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116033717","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: 14
Chisel: Sculpting Tabular and Non-Tabular Data on the Web 凿:在网络上雕刻表格和非表格数据
Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3186963
J. Doleschal, Nico Höllerich, W. Martens, F. Neven
{"title":"Chisel: Sculpting Tabular and Non-Tabular Data on the Web","authors":"J. Doleschal, Nico Höllerich, W. Martens, F. Neven","doi":"10.1145/3184558.3186963","DOIUrl":"https://doi.org/10.1145/3184558.3186963","url":null,"abstract":"Chisel is a tool for flexible manipulation of CSV-like data, motivated by the recent effort of the World Wide Web Consortium (W3C) towards a recommendation for tabular data and metadata on the Web. In brief, Chisel supports an expressive built-in schema language for CSV-like data, that can handle both tabular and non-tabular data. Furthermore, it supports a simple programming language for transforming tabular and non-tabular CSV-like data. In the demo, we showcase the system for specifying and validating schemas, building transformations, and setting up a pipeline for automatic conversion of \"wild\" CSV-like data into structured tabular data. We present use cases for Chisel specifically targeted at exemplifying the ease of specifying, modifying, and understanding Sculpt schemas as well as extracting and transforming data.","PeriodicalId":235572,"journal":{"name":"Companion Proceedings of the The Web Conference 2018","volume":"22 22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123423422","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
An Effective Joint Framework for Document Summarization 一个有效的文档摘要联合框架
Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3186959
Min Gui, Zhengkun Zhang, Zhenglu Yang, Yanhui Gu, Guandong Xu
{"title":"An Effective Joint Framework for Document Summarization","authors":"Min Gui, Zhengkun Zhang, Zhenglu Yang, Yanhui Gu, Guandong Xu","doi":"10.1145/3184558.3186959","DOIUrl":"https://doi.org/10.1145/3184558.3186959","url":null,"abstract":"Document summarization is an important research issue and has attracted much attention from the academe. The approaches for document summarization can be classified as extractive and abstractive. In this work, we introduce an effective joint framework that integrates extractive and abstractive summarization models, which is much closer to the way human write summaries (first underlining important information). Preliminary experiments on real benchmark dataset demonstrate that our model is competitive with the state-of-the-art methods.","PeriodicalId":235572,"journal":{"name":"Companion Proceedings of the The Web Conference 2018","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126168237","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
Iterative Knowledge Extraction from Social Networks 基于社交网络的迭代知识提取
Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3191578
M. Brambilla, S. Ceri, F. Daniel, Marco Di Giovanni, A. Mauri, Giorgia Ramponi
{"title":"Iterative Knowledge Extraction from Social Networks","authors":"M. Brambilla, S. Ceri, F. Daniel, Marco Di Giovanni, A. Mauri, Giorgia Ramponi","doi":"10.1145/3184558.3191578","DOIUrl":"https://doi.org/10.1145/3184558.3191578","url":null,"abstract":"Knowledge in the world continuously evolves, and ontologies are largely incomplete, especially regarding data belonging to the so-called long tail. We propose a method for discovering emerging knowledge by extracting it from social content. Once initialized by domain experts, the method is capable of finding relevant entities by means of a mixed syntactic-semantic method. The method uses seeds, i.e. prototypes of emerging entities provided by experts, for generating candidates; then, it associates candidates to feature vectors built by using terms occurring in their social content and ranks the candidates by using their distance from the centroid of seeds, returning the top candidates. Our method can run iteratively, using the results as new seeds. as new seeds. In this paper we address the following research questions: (1) How does the reconstructed domain knowledge evolve if the candidates of one extraction are recursively used as seeds (2) How does the reconstructed domain knowledge spread geographically (3) Can the method be used to inspect the past, present, and future of knowledge (4) Can the method be used to find emerging knowledge","PeriodicalId":235572,"journal":{"name":"Companion Proceedings of the The Web Conference 2018","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129440693","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: 10
OSTRICH: Versioned Random-Access Triple Store OSTRICH:版本随机访问三重存储
Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3186960
Ruben Taelman, M. V. Sande, R. Verborgh
{"title":"OSTRICH: Versioned Random-Access Triple Store","authors":"Ruben Taelman, M. V. Sande, R. Verborgh","doi":"10.1145/3184558.3186960","DOIUrl":"https://doi.org/10.1145/3184558.3186960","url":null,"abstract":"The Linked Open Data cloud is evergrowing and many datasets are frequently being updated. In order to fully exploit the potential of the information that is available in and over historical dataset versions, such as discovering evolution of taxonomies or diseases in biomedical datasets, we need to be able to store and query the different versions of Linked Datasets efficiently. In this demonstration, we introduce OSTRICH, which is an efficient triple store with supported for versioned query evaluation. We demonstrate the capabilities of OSTRICH using a Web-based graphical user interface in which a store can be opened or created. Using this interface, the user is able to query in, between, and over different versions, ingest new versions, and retrieve summarizing statistics.","PeriodicalId":235572,"journal":{"name":"Companion Proceedings of the The Web Conference 2018","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128716971","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: 10
Generating Schema Labels through Dataset Content Analysis 通过数据集内容分析生成模式标签
Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3191601
Zhiyu Chen, Haiyan Jia, J. Heflin, Brian D. Davison
{"title":"Generating Schema Labels through Dataset Content Analysis","authors":"Zhiyu Chen, Haiyan Jia, J. Heflin, Brian D. Davison","doi":"10.1145/3184558.3191601","DOIUrl":"https://doi.org/10.1145/3184558.3191601","url":null,"abstract":"Impoverished descriptions and convoluted schema labels are common challenges in data-centric tasks such as schema matching and data linking, especially when datasets can span domains. To address these issues, we consider the task of schema label generation. Typically, schema labels are created by dataset providers and are useful for users to understand a dataset. The motivation behind the task is that a lot of data linking systems require overlapping information between two datasets and rely on unique identifiers of schema labels. Moreover, it is common for schema labels in different datasets to have different identifiers even when they refer to the same concept. With no naming standard for schema labels, unintelligible labels are widely found in real-world datasets. For example, many schema labels contain abbreviations and compound nouns that hinder automated matching of attributes in corresponding datasets. Through schema label generation, more common (and thus understandable) schema labels can be provided to allow for broader schema matches in contexts such as dataset search and data linking. We develop a variety of features based on analysis of dataset content to enable machine learning methods to recommend useful labels. We test our approach on two real-world data collections and demonstrate that our method is able to outperform the alternative approach.","PeriodicalId":235572,"journal":{"name":"Companion Proceedings of the The Web Conference 2018","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127324931","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: 22
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