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Ph.D. Workshop on Information and Knowledge Management最新文献

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Alternate views of graph clusterings based on thresholds: a case study for a student forum 基于阈值的图形聚类的替代视图:一个学生论坛的案例研究
Ph.D. Workshop on Information and Knowledge Management Pub Date : 2013-11-01 DOI: 10.1145/2513166.2513173
Maria Pouliopoulou, G. Gkotsis, C. Makris
{"title":"Alternate views of graph clusterings based on thresholds: a case study for a student forum","authors":"Maria Pouliopoulou, G. Gkotsis, C. Makris","doi":"10.1145/2513166.2513173","DOIUrl":"https://doi.org/10.1145/2513166.2513173","url":null,"abstract":"A network represented as a graph, can be transformed to a sparser graph, if a threshold is applied to the relationship between its objects. The threshold can be used as an upper or lower limit or define a range based on which we can exclude connections from the graph, thus resulting to different views of a graph. We examine for various values of the threshold the effect it has on the task of community detection and we propose a method to validate the results of the corresponding clusterings against the clustering of the original graph. We transform the clusterings in comparable forms and we employ four known measures for clustering validation in order to examine their resemblance. We present some preliminary experiments to evaluate the effects of a threshold on the clustering task and we outline possible usage of the different views that are produced.","PeriodicalId":148359,"journal":{"name":"Ph.D. Workshop on Information and Knowledge Management","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130252433","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: 1
Exploring re-ranking approaches for joint named-entityrecognition and linking 探索联合命名实体识别和链接的重新排序方法
Ph.D. Workshop on Information and Knowledge Management Pub Date : 2013-11-01 DOI: 10.1145/2513166.2513177
Avirup Sil
{"title":"Exploring re-ranking approaches for joint named-entityrecognition and linking","authors":"Avirup Sil","doi":"10.1145/2513166.2513177","DOIUrl":"https://doi.org/10.1145/2513166.2513177","url":null,"abstract":"Recognizing names and linking them to structured data is a fundamental task in text analysis. Existing approaches typically perform these two steps using a pipeline architecture: they use a Named-Entity Recognition (NER) system to find the boundaries of mentions in text, and an Entity Linking (EL) system to connect the mentions to entries in structured or semi-structured repositories like Wikipedia. However, the two tasks are tightly coupled, and each type of system can benefit significantly from the kind of information provided by the other. In this proposal, we present a joint model for NER and EL, called NEREL, that takes a large set of candidate mentions from typical NER systems and a large set of candidate entity links from EL systems, and ranks the candidate mention-entity pairs together to make joint predictions. In our initial NER and EL experiments across three datasets, NEREL significantly outperforms or comes close to the performance of two state-of-the-art NER systems, and it outperforms 6 competing EL systems. On the benchmark MSNBC dataset, NEREL provides a 60% reduction in error over the next-best NER system and a 68% reduction in error over the next-best EL system.","PeriodicalId":148359,"journal":{"name":"Ph.D. Workshop on Information and Knowledge Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115972542","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: 6
Detecting collusive spammers in online review communities 检测在线评论社区中的合谋垃圾邮件发送者
Ph.D. Workshop on Information and Knowledge Management Pub Date : 2013-11-01 DOI: 10.1145/2513166.2513176
Chang Xu
{"title":"Detecting collusive spammers in online review communities","authors":"Chang Xu","doi":"10.1145/2513166.2513176","DOIUrl":"https://doi.org/10.1145/2513166.2513176","url":null,"abstract":"In this paper, we first define our research problem as to detect collusive spammers in online review communities. Next we present our current progress on this topic, in which we have spotted anomalies by evaluating 15 behavioral features proposed in the state-of-the-art approaches. Then we propose a novel hybrid classification/clustering method to detect colluders in our dataset based on selected informative features. Experimental results show that our method promisingly improve the performance of traditional classifiers by incorporating clustering for the smoothing. Finally, possible extensions of our current work and challenges in achieving them are discussed as our future directions.","PeriodicalId":148359,"journal":{"name":"Ph.D. Workshop on Information and Knowledge Management","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131353987","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: 28
Towards generic framework for tabular data extraction and management in documents 面向文档中表格数据提取和管理的通用框架
Ph.D. Workshop on Information and Knowledge Management Pub Date : 2013-11-01 DOI: 10.1145/2513166.2513175
Roya Rastan
{"title":"Towards generic framework for tabular data extraction and management in documents","authors":"Roya Rastan","doi":"10.1145/2513166.2513175","DOIUrl":"https://doi.org/10.1145/2513166.2513175","url":null,"abstract":"Tables are one of the common data presentation structures in documents. However, the task of automatic recognition and extraction of tables embedded in documents is still a significant challenge, and data contained within tables still remains under-utilised. Although some common steps can be defined for table extraction, there is no generic approach for table extraction tasks which can be applied to different sources and provide an end-to-end repeatable work-flow. This paper looks at the table extraction problem from the process point of view and proposes a table extraction workflow, which can be considered as a plug-and-play architecture for table extraction. Also, we present an overview of our complete system where the extracted tables are stored and managed. Table extraction is considered in the context of financial statements in this work, but the methods apply generally.","PeriodicalId":148359,"journal":{"name":"Ph.D. Workshop on Information and Knowledge Management","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127273413","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: 5
Patient-centric, multi-role, and multi-dimension information exploration on online healthcare forums 在线医疗保健论坛上以患者为中心、多角色和多维信息探索
Ph.D. Workshop on Information and Knowledge Management Pub Date : 2013-11-01 DOI: 10.1145/2513166.2513174
Yunzhong Liu, Yi Chen
{"title":"Patient-centric, multi-role, and multi-dimension information exploration on online healthcare forums","authors":"Yunzhong Liu, Yi Chen","doi":"10.1145/2513166.2513174","DOIUrl":"https://doi.org/10.1145/2513166.2513174","url":null,"abstract":"Online healthcare forums provide a valuable platform for people to share medical information and support each other. However, currently the rich information shared on healthcare forums has not been fully explored. In this work, we first motivate the need for patient-centric, multi-role, and multi-dimension information exploration. We then present our patient-centric information exploration prototype system and show its effectiveness with preliminary experiment evaluation. We have also identified some potential techniques for multi-role and multi-dimension information exploration.","PeriodicalId":148359,"journal":{"name":"Ph.D. Workshop on Information and Knowledge Management","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127278186","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
Disseminate your research: style does matter 传播你的研究:风格很重要
Ph.D. Workshop on Information and Knowledge Management Pub Date : 2013-11-01 DOI: 10.1145/2513166.2514938
P. Senellart
{"title":"Disseminate your research: style does matter","authors":"P. Senellart","doi":"10.1145/2513166.2514938","DOIUrl":"https://doi.org/10.1145/2513166.2514938","url":null,"abstract":"In any form of scientific dissemination (research articles, oral presentations, posters, presentation to the general public, etc.), the substance of your research is what matters most: algorithms, theoretical results, proofs, experiments, etc. But the style of the presentation needs to be on par with the quality of the research, if the research work is to be accepted for publication, noticed by your peers, and used as a foundation for future research. We present a personal view of how style impacts the way a research work is perceived, including hopefully useful advice to junior researchers on how to better present their research. Illustrating with concrete examples of what-to-do and what-to-avoid, we cover the following areas: structure of a research paper, writing style, and typography [1, 6]; presentation of experiments as tables and graphs in articles [3, 2, 4] and oral presentations [5]; dissemination of the research through online availability of written material, datasets, and code. We point to highly regarded reference works on these topics, for further reading.","PeriodicalId":148359,"journal":{"name":"Ph.D. Workshop on Information and Knowledge Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130595133","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
Multilevel business process modeling: motivation, approach, design issues, and applications 多层业务流程建模:动机、方法、设计问题和应用程序
Ph.D. Workshop on Information and Knowledge Management Pub Date : 2012-11-02 DOI: 10.1145/2389686.2389705
C. G. Schütz, M. Schrefl, L. Delcambre
{"title":"Multilevel business process modeling: motivation, approach, design issues, and applications","authors":"C. G. Schütz, M. Schrefl, L. Delcambre","doi":"10.1145/2389686.2389705","DOIUrl":"https://doi.org/10.1145/2389686.2389705","url":null,"abstract":"Conceptual models organize the data as well as the processes from a business domain using a human-readable, yet formal representation language. For static data models, various modeling approaches have been proposed to represent complex multilevel abstraction hierarchies. For process models, though, current modeling approaches do not provide a flexible and powerful formalism for representing complex multilevel abstraction hierarchies. In this paper, we motivate the need for multilevel business process models, present our initial approach, and sketch future research in this area.","PeriodicalId":148359,"journal":{"name":"Ph.D. Workshop on Information and Knowledge Management","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127232972","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: 6
Search tactics as means of examining search processes in collaborative exploratory web search 协同探索性网络搜索中搜索策略作为检查搜索过程的手段
Ph.D. Workshop on Information and Knowledge Management Pub Date : 2012-11-02 DOI: 10.1145/2389686.2389699
Zhen Yue, Shuguang Han, Jiepu Jiang, Daqing He
{"title":"Search tactics as means of examining search processes in collaborative exploratory web search","authors":"Zhen Yue, Shuguang Han, Jiepu Jiang, Daqing He","doi":"10.1145/2389686.2389699","DOIUrl":"https://doi.org/10.1145/2389686.2389699","url":null,"abstract":"Investigations on search processes can either be at macro-level or micro-level. The macro-level investigation focuses on establishing theoretical models while micro-level investigation focuses on the user actions. In this paper, we propose using search tactics as means of examining search processes in collaborative exploratory search, which can be seen as a middle layer between the macro-level and micro-level. We reported a user study in which participants worked on exploratory Web search tasks using our CollabSearch system under two conditions: collaborative and individual. Using the two methods - action pairs and Hidden Markov Model (HMM) to model search tactics, we discovered some insights about the different patterns of search tactics that participants explored under collaborative and individual search conditions. In the future, we plan to improve the HMM model as a semi-automatic way to detect search tactics. In this study, we further analyze a particular search tactic - query reformulation in collaborative search and discovered the possible sources of new query terms. In the future, we plan to implement a query suggestion algorithm to better support team users' query reformulation tactics. This study provides some guidance for designers on the range of behaviors and activities that a collaborative search system should support. Further studies are needed to fully understand them.","PeriodicalId":148359,"journal":{"name":"Ph.D. Workshop on Information and Knowledge Management","volume":"1183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116481959","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: 9
Exploring and analyzing documents with OLAP 使用OLAP探索和分析文档
Ph.D. Workshop on Information and Knowledge Management Pub Date : 2012-11-02 DOI: 10.1145/2389686.2389693
Grzegorz Drzadzewski, Frank Wm. Tompa
{"title":"Exploring and analyzing documents with OLAP","authors":"Grzegorz Drzadzewski, Frank Wm. Tompa","doi":"10.1145/2389686.2389693","DOIUrl":"https://doi.org/10.1145/2389686.2389693","url":null,"abstract":"When faced with a document collection of substantial size, it is difficult for users to explore and analyze the information contained in it. Tagging has been used to improve the organization of documents in a collection, but it has various limitations. We propose to improve the analysis and exploration of tagged document collections by organizing the documents into clusters and allowing users to perform online analytical processing on the clusters. However, supporting OLAP on clusters of documents poses various challenges that need to be addressed. These challenges include providing efficient representations for cluster centroids and document positions inside the clusters, dealing with overlapping clusters, efficient and accurate aggregation of clusters, providing functionality for helping users find representative documents for a cluster, and determining the strength of relationship between clusters.","PeriodicalId":148359,"journal":{"name":"Ph.D. Workshop on Information and Knowledge Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122664894","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
Recommendations using linked data 使用关联数据的建议
Ph.D. Workshop on Information and Knowledge Management Pub Date : 2012-11-02 DOI: 10.1145/2389686.2389701
Rouzbeh Meymandpour, Joseph G. Davis
{"title":"Recommendations using linked data","authors":"Rouzbeh Meymandpour, Joseph G. Davis","doi":"10.1145/2389686.2389701","DOIUrl":"https://doi.org/10.1145/2389686.2389701","url":null,"abstract":"Linked Data offers new opportunities for Semantic Web-based application development by connecting structured information from various domains. These technologies allow machines and software agents to automatically interpret and consume Linked Data and provide users with intelligent query answering services. In order to enable advanced and innovative semantic applications of Linked Data such as recommendation, social network analysis, and information clustering, a fundamental requirement is systematic metrics that allow comparison between resources. In this research, we develop a hybrid similarity metric based on the characteristics of Linked Data. In particular, we develop and demonstrate metrics for providing recommendations of closely related resources. The results of our preliminary experiments and future directions are also presented.","PeriodicalId":148359,"journal":{"name":"Ph.D. Workshop on Information and Knowledge Management","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127164633","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: 12
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