WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.)最新文献

A Discipline-Enriched Dataset for Tracking the Computational Turn of European Universities 用于跟踪欧洲大学计算转向的学科丰富数据集

WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.) Pub Date : 2017-12-15 DOI: 10.1145/3127526.3127532

F. Nanni, Giulia Paci

引用次数: 2

Analyzing Semantic Concept Patterns to Detect Academic Plagiarism 语义概念模式分析与学术剽窃检测

WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.) Pub Date : 2017-12-15 DOI: 10.1145/3127526.3127535

Norman Meuschke, Nicolas Siebeck, M. Schubotz, Bela Gipp

{"title":"Analyzing Semantic Concept Patterns to Detect Academic Plagiarism","authors":"Norman Meuschke, Nicolas Siebeck, M. Schubotz, Bela Gipp","doi":"10.1145/3127526.3127535","DOIUrl":"https://doi.org/10.1145/3127526.3127535","url":null,"abstract":"Detecting academic plagiarism is a pressing problem, e.g., for educational and research institutions, funding agencies, and academic publishers. Existing plagiarism detection systems reliably identify copied text, or near copies of text, but often fail to detect disguised forms of academic plagiarism, such as paraphrases, translations, and idea plagiarism. We present Semantic Concept Pattern Analysis - an approach that performs an integrated analysis of semantic text relatedness and structural text similarity. Using 25 officially retracted academic plagiarism cases, we demonstrate that our approach can detect plagiarism that established text matching approaches would not identify. We view our approach as a promising addition to improve the detection capabilities for strong paraphrases. We plan to further improve Semantic Concept Pattern Analysis and include the approach as part of an integrated detection process that analyzes heterogeneous similarity features to better identify the many possible forms of plagiarism in academic documents.","PeriodicalId":92599,"journal":{"name":"WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.)","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86490006","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: 19

Multi-level mining and visualization of scientific text collections: Exploring a bi-lingual scientific repository 科学文本集合的多层次挖掘和可视化:探索双语科学资源库

WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.) Pub Date : 2017-12-15 DOI: 10.1145/3127526.3127529

Pablo Accuosto, Francesco Ronzano, Daniel Ferrés, Horacio Saggion

引用次数: 4

Methods for Synthesis of Funding Agency & Publisher Data 资助机构和出版商数据的综合方法

WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.) Pub Date : 2017-12-15 DOI: 10.1145/3127526.3127537

M. Ihli

{"title":"Methods for Synthesis of Funding Agency & Publisher Data","authors":"M. Ihli","doi":"10.1145/3127526.3127537","DOIUrl":"https://doi.org/10.1145/3127526.3127537","url":null,"abstract":"Research analyzing the relationship between grants and publications as outcomes in has in the past been challenged by the general disconnect between information systems which track awards, and those which track published research. However, changing systems and data curation practices have created opportunities in which unified grant and publication data can help us to better understand the research lifecycle. More, specifically, the indexing of funding acknowledgements by bibliographic databases has become an established practice, and provides a means for programmatically building links to connect award records to publication data. This work illustrates the enrichment of grant award records from the U.S. National Science Foundation with direct links to publication data extracted from Web of Science. The usefulness of the bridged data is demonstrated through computation of acknowledgement lag, defined as the time elapsed between when a grant is awarded and when an article is published which acknowledges support from that grant. The application of a categorization schema furthermore shows that research disciplines are very different in terms of the lag time between awards and publications. Furthermore, the results found that in some cases, awards continued to be acknowledged by publications decades later.","PeriodicalId":92599,"journal":{"name":"WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.)","volume":"15 12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86945579","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

Rapid Tagging and Reporting for Functional Language Extraction in Scientific Articles 科技文章功能语言提取的快速标注与报告

WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.) Pub Date : 2017-12-15 DOI: 10.1145/3127526.3127533

M. Ramezani, Vijay Kalivarapu, Stephen B Gilbert, S. Huffman, Elena Cotos, A. O'Conner

{"title":"Rapid Tagging and Reporting for Functional Language Extraction in Scientific Articles","authors":"M. Ramezani, Vijay Kalivarapu, Stephen B Gilbert, S. Huffman, Elena Cotos, A. O'Conner","doi":"10.1145/3127526.3127533","DOIUrl":"https://doi.org/10.1145/3127526.3127533","url":null,"abstract":"This paper describes the development of a web-based application for tagging scientific articles, in part to create machine learning training datasets for automated functional language identification and extraction (AFLEX). The initial intent for this work was to provide a new member of the ecosystem of tools that facilitate the structured automation of systematic reviews, an area of work that typically requires critical analysis of multiple research studies and provides an exhaustive summary of literature related to a research question. However, the tool's modular interface allows use across disciplines. A user may upload PDF or text documents and quickly tag selected parts of the document with a customizable set of discipline-specific tags, and export results to CSV or JSON formats. An integrated back-end database stores tagging data for comparison between taggers or visual display of results on the web browser. While other discipline-specific text tagging tools exist, the authors have not encountered a cloud-based customizable tool for PDF and text annotation as flexible as the AFLEX Tag Tool developed by the authors.","PeriodicalId":92599,"journal":{"name":"WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.)","volume":"185 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76424749","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

Word importance-based similarity of documents metric (WISDM): Fast and scalable document similarity metric for analysis of scientific documents 基于单词重要性的文档相似度度量(WISDM):用于科学文档分析的快速和可扩展的文档相似度度量

WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.) Pub Date : 2017-12-15 DOI: 10.1145/3127526.3127530

V. Botev, K. Marinov, Florian Schäfer

{"title":"Word importance-based similarity of documents metric (WISDM): Fast and scalable document similarity metric for analysis of scientific documents","authors":"V. Botev, K. Marinov, Florian Schäfer","doi":"10.1145/3127526.3127530","DOIUrl":"https://doi.org/10.1145/3127526.3127530","url":null,"abstract":"We present the Word importance-based similarity of documents metric (WISDM), a fast and scalable novel method for document similarity/distance computation for analysis of scientific documents. It is based on recent advancements in the area of word embeddings. WISDM combines learned word vectors together with traditional count-based models for document similarity computation, eventually achieving state-of-the-art performance and precision. The novel method first selects from two text documents those words that carry the most information and forms a word set for each document respectively. Then it relies on an existing word embeddings model to get the vector representations of the selected words. In the final step, it computes the closeness of the two sets of word vector representations, fit into a matrix, using a correlation coefficient. The presented metric was evaluated on three tasks, relevant to the analysis of scientific documents, and three data sets of open access scientific research. The results demonstrate that WISDM achieves significant performance speed-up in comparison to state-of-the-art metrics with a very marginal drop in precision.","PeriodicalId":92599,"journal":{"name":"WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.)","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84023357","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: 7

Audience Based View of Publication Impact 基于受众的出版影响观

WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.) Pub Date : 2017-12-15 DOI: 10.1145/3127526.3127538

R. Patton, Drahomira Herrmannova, Christopher G. Stahl, Jack C. Wells, T. Potok

引用次数: 2

Investigating Convolutional Networks and Domain-Specific Embeddings for Semantic Classification of Citations 研究用于引文语义分类的卷积网络和特定领域嵌入

WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.) Pub Date : 2017-12-15 DOI: 10.1145/3127526.3127531

Anne Lauscher, Goran Glavas, Simone Paolo Ponzetto, K. Eckert

引用次数: 27

Comparing citation numbers between articles at two stages of a Model Organism Database curation workflow 比较在模型生物数据库管理工作流程的两个阶段的文章之间的引文数

WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.) Pub Date : 2017-12-15 DOI: 10.1145/3127526.3127536

Michael Lauruhn, G. Millburn

{"title":"Comparing citation numbers between articles at two stages of a Model Organism Database curation workflow","authors":"Michael Lauruhn, G. Millburn","doi":"10.1145/3127526.3127536","DOIUrl":"https://doi.org/10.1145/3127526.3127536","url":null,"abstract":"Model organism databases (MODs) facilitate the connections between published research papers with genes and other biological information. MODs aim to make research data easier to access to the research community, especially for researchers relying on genetic data and other information about a specific species. This paper follows previous research [1] that attempted to use quantitative data to determine if and how literature curated by a MOD makes a difference to the access and reuse of the curated data. The research addresses whether articles that have been through the detailed curation process of a MOD are more likely to be cited when compared to 'similar' articles that are not curated. For this research, citations for articles curated by FlyBase, a MOD for genetic and molecular data for the Drosophilidae insect family, were compared with articles identified as having similar genetic and molecular data, but not yet given a detailed curation by FlyBase. In addition, citation counts from a larger set of articles retrieved through a title and keyword search for Drosophilidae are also compared.","PeriodicalId":92599,"journal":{"name":"WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.)","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87538710","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

Geographical Distribution of Biomedical Research in the USA and China. 美国和中国生物医学研究的地理分布。

WOSP 2017 : proceedings of the 6th International Workshop on Mining Scientific Publications. International Workshop on Mining Scientific Publications (6th : 2017 : Toronto, Ont.) Pub Date : 2017-12-01 DOI: 10.1145/3127526.3127534

Yingjun Guan, Jing Du, Vetle I Torvik

引用次数: 0