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International Conference on Knowledge Capture最新文献

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Preliminary steps towards a knowledge factory process 迈向知识工厂过程的初步步骤
International Conference on Knowledge Capture Pub Date : 2011-06-26 DOI: 10.1145/1999676.1999714
V. Chaudhri, N. Dinesh, John Pacheco, Gary Ng, Peter Clark, Andrew Goldenkranz, A. Seyed, Naveen Sharma
{"title":"Preliminary steps towards a knowledge factory process","authors":"V. Chaudhri, N. Dinesh, John Pacheco, Gary Ng, Peter Clark, Andrew Goldenkranz, A. Seyed, Naveen Sharma","doi":"10.1145/1999676.1999714","DOIUrl":"https://doi.org/10.1145/1999676.1999714","url":null,"abstract":"In the fall 2010 issue of the AI Magazine, we reported the design, implementation and evaluation of a knowledge acquisition system called AURA. AURA enables domain experts in Physics, Chemistry and Biology to author their knowledge, and a different set of experts to pose questions against that knowledge. The evaluation results previously reported were from 50 pages each from science textbooks in Physics, Chemistry and Biology. The results were most promising for Biology. Based on those results we undertook a content building effort to capture knowledge from approximately 315 pages (or 20 chapters) of the same Biology textbook [2] and incorporated the resulting content in the electronic version of that book. In this demo/poster session, we will demonstrate the biology knowledge base (KB) created using AURA, the electronic textbook application Inquire, and discuss the knowledge engineering process we used to construct the KB.","PeriodicalId":324187,"journal":{"name":"International Conference on Knowledge Capture","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128648849","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
Gathering lexical linked data and knowledge patterns from FrameNet 从框架中收集词汇关联数据和知识模式
International Conference on Knowledge Capture Pub Date : 2011-06-26 DOI: 10.1145/1999676.1999685
Andrea Giovanni Nuzzolese, Aldo Gangemi, V. Presutti
{"title":"Gathering lexical linked data and knowledge patterns from FrameNet","authors":"Andrea Giovanni Nuzzolese, Aldo Gangemi, V. Presutti","doi":"10.1145/1999676.1999685","DOIUrl":"https://doi.org/10.1145/1999676.1999685","url":null,"abstract":"FrameNet is an important lexical knowledge base featuring cognitive plausibility, and grounded in a large corpus. Besides being actively used by the NLP community, frames are a great source of knowledge patterns once converted into a knowledge representation language. In this paper we present our experience in converting the 1.5 XML version of FrameNet into RDF datasets published on the Linked Open Data cloud, which are interoperable with WordNet and other resources. In the conversion we have used Semion, a new tool that allows a rule-based, customized pipeline from XML to RDF and OWL data. In addition, we introduce a method to select and refactor part of the information related to frames as full-fledged OWL knowledge patterns. This last result has required non-trivial assumptions on how to interpret FrameNet relations as formal knowledge.","PeriodicalId":324187,"journal":{"name":"International Conference on Knowledge Capture","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114689511","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: 67
Multipedia: enriching DBpedia with multimedia information Multipedia:用多媒体信息丰富DBpedia
International Conference on Knowledge Capture Pub Date : 2011-06-26 DOI: 10.1145/1999676.1999701
Andres Garcia-Silva, Max Jakob, Pablo N. Mendes, Christian Bizer
{"title":"Multipedia: enriching DBpedia with multimedia information","authors":"Andres Garcia-Silva, Max Jakob, Pablo N. Mendes, Christian Bizer","doi":"10.1145/1999676.1999701","DOIUrl":"https://doi.org/10.1145/1999676.1999701","url":null,"abstract":"Enriching knowledge bases with multimedia information makes it possible to complement textual descriptions with visual and audio information. Such complementary information can help users to understand the meaning of assertions, and in general improve the user experience with the knowledge base. In this paper we address the problem of how to enrich ontology instances with candidate images retrieved from existing Web search engines. DBpedia has evolved into a major hub in the Linked Data cloud, interconnecting millions of entities organized under a consistent ontology. Our approach taps into the Wikipedia corpus to gather context information for DBpedia instances and takes advantage of image tagging information when this is available to calculate semantic relatedness between instances and candidate images. We performed experiments with focus on the particularly challenging problem of highly ambiguous names. Both methods presented in this work outperformed the baseline. Our best method leveraged context words from Wikipedia, tags from Flickr and type information from DBpedia to achieve an average precision of 80%.","PeriodicalId":324187,"journal":{"name":"International Conference on Knowledge Capture","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129980797","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: 11
An analysis of open information extraction based on semantic role labeling 基于语义角色标注的开放信息抽取分析
International Conference on Knowledge Capture Pub Date : 2011-06-26 DOI: 10.1145/1999676.1999697
Janara Christensen, Mausam, S. Soderland, Oren Etzioni
{"title":"An analysis of open information extraction based on semantic role labeling","authors":"Janara Christensen, Mausam, S. Soderland, Oren Etzioni","doi":"10.1145/1999676.1999697","DOIUrl":"https://doi.org/10.1145/1999676.1999697","url":null,"abstract":"Open Information Extraction extracts relations from text without requiring a pre-specified domain or vocabulary. While existing techniques have used only shallow syntactic features, we investigate the use of semantic role labeling techniques for the task of Open IE. Semantic role labeling (SRL) and Open IE, although developed mostly in isolation, are quite related. We compare SRL-based open extractors, which perform computationally expensive, deep syntactic analysis, with TextRunner, an open extractor, which uses shallow syntactic analysis but is able to analyze many more sentences in a fixed amount of time and thus exploit corpus-level statistics. Our evaluation answers questions regarding these systems, including, can SRL extractors, which are trained on PropBank, cope with heterogeneous text found on the Web? Which extractor attains better precision, recall, f-measure, or running time? How does extractor performance vary for binary, n-ary and nested relations? How much do we gain by running multiple extractors? How do we select the optimal extractor given amount of data, available time, types of extractions desired?","PeriodicalId":324187,"journal":{"name":"International Conference on Knowledge Capture","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130132607","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: 152
Predicting adverse events: detecting myocardial damage in intensive care unit (ICU) patients 预测不良事件:检测重症监护病房(ICU)患者的心肌损伤
International Conference on Knowledge Capture Pub Date : 2011-06-26 DOI: 10.1145/1999676.1999690
D. Sleeman, L. Moss, M. Sim, J. Kinsella
{"title":"Predicting adverse events: detecting myocardial damage in intensive care unit (ICU) patients","authors":"D. Sleeman, L. Moss, M. Sim, J. Kinsella","doi":"10.1145/1999676.1999690","DOIUrl":"https://doi.org/10.1145/1999676.1999690","url":null,"abstract":"Myocardial damage is known to occur relatively frequently, and although it is not often fatal it results in the patient staying in the ICU for significantly longer. Thus it is important for clinicians to detect these events. Confirmation of myocardial damage is by a biomarker (troponin), but these tests are only done at fixed time-points. Consequently it is desirable for doctors, and support systems, to detect myocardial damage from the standard parameters collected for ICU patients. We have undertaken a study with several ICU consultants to determine the conditions which generally precede a myocardial-damaging event. In fact, these knowledge acquisition sessions produced a complex model which we have realized as 2 interacting modules. Subsequently, we compared this model's predictions against the original datasets; the model when run against the test dataset resulted in a relatively high True Positive (TP) rate (75.8%). The implications of these analyses are discussed, as are a number of planned follow-up studies","PeriodicalId":324187,"journal":{"name":"International Conference on Knowledge Capture","volume":"292 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115861384","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
Semantically annotating research articles for interdisciplinary design 跨学科设计研究论文的语义注释
International Conference on Knowledge Capture Pub Date : 2011-06-26 DOI: 10.1145/1999676.1999707
Swaroop Vattam, Ashok K. Goel
{"title":"Semantically annotating research articles for interdisciplinary design","authors":"Swaroop Vattam, Ashok K. Goel","doi":"10.1145/1999676.1999707","DOIUrl":"https://doi.org/10.1145/1999676.1999707","url":null,"abstract":"Biologically inspired design is an important emerging movement in engineering design. Finding relevant biological sources of inspiration from existing biology literature is one of the important challenges of this activity. We conjecture that annotating biology articles with lightweight Structure-Behavior-Function (SBF) models is one way to address this challenge. We present Biologue, a social citation cataloging system that allows its users to gather, organize, share, and most importantly, annotate scholarly articles with SBF models. This feature not only allows the implementation of search mechanism that is more targeted to the needs of designers seeking bio-inspiration, but also helps designers make sense of the articles returned by the search mechanism.","PeriodicalId":324187,"journal":{"name":"International Conference on Knowledge Capture","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124519338","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
Boundary detection of multiple related temporal duration of schedules in email 邮件日程中多个相关时间持续时间的边界检测
International Conference on Knowledge Capture Pub Date : 2011-06-26 DOI: 10.1145/1999676.1999694
Donghyun Choi, Eun-kyung Kim, Key-Sun Choi
{"title":"Boundary detection of multiple related temporal duration of schedules in email","authors":"Donghyun Choi, Eun-kyung Kim, Key-Sun Choi","doi":"10.1145/1999676.1999694","DOIUrl":"https://doi.org/10.1145/1999676.1999694","url":null,"abstract":"Emails are very popular method for information exchange between people. In this paper, an approach to annotate the starting time (stime) and ending time (etime) of duration in schedule notices is proposed. Most related works have reported on only seminar announcements, most of which contain only one schedule per announcement and are written in very restricted format. Different from those seminar announcements, an email frequently contains information about multiple schedules with highly complex format. To process the emails, the proposed system first detects and normalizes all time expressions of the email using regular expression patterns, and then determines which time expression actually represents stime and etime information of schedules. Evaluation is carried out on newly constructed Korean email corpus, and it shows 87.35 % of F1-score for stime and 85.13 % for etime.","PeriodicalId":324187,"journal":{"name":"International Conference on Knowledge Capture","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122106163","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
Semantic feedback for the enrichment of conceptual models 语义反馈对概念模型的丰富
International Conference on Knowledge Capture Pub Date : 2011-06-26 DOI: 10.1145/1999676.1999718
Esther Lozano, Jorge Gracia, J. Liem, Asunción Gómez-Pérez, B. Bredeweg
{"title":"Semantic feedback for the enrichment of conceptual models","authors":"Esther Lozano, Jorge Gracia, J. Liem, Asunción Gómez-Pérez, B. Bredeweg","doi":"10.1145/1999676.1999718","DOIUrl":"https://doi.org/10.1145/1999676.1999718","url":null,"abstract":"Conceptual modeling is a complex task that requires domain specific knowledge as well as a good command of modeling techniques. In this paper we propose an approach that aims to capture relevant knowledge from an online pool of conceptual models. This knowledge is brought to the user in order to assist the construction of new conceptual models. With our method, relevant feedback is generated based on knowledge extracted from the pool of models. Such feedback, tailored to the current modeling process of the user, allows the model to be improved based on shared knowledge.","PeriodicalId":324187,"journal":{"name":"International Conference on Knowledge Capture","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126863940","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
Integrating knowledge capture and supervised learning through a human-computer interface 通过人机界面集成知识获取和监督学习
International Conference on Knowledge Capture Pub Date : 2011-06-26 DOI: 10.1145/1999676.1999693
Trevor Walker, Gautam Kunapuli, Noah Larsen, David Page, J. Shavlik
{"title":"Integrating knowledge capture and supervised learning through a human-computer interface","authors":"Trevor Walker, Gautam Kunapuli, Noah Larsen, David Page, J. Shavlik","doi":"10.1145/1999676.1999693","DOIUrl":"https://doi.org/10.1145/1999676.1999693","url":null,"abstract":"Some supervised-learning algorithms can make effective use of domain knowledge in addition to the input-output pairs commonly used in machine learning. However, formulating this additional information often requires an in-depth understanding of the specific knowledge representation used by a given learning algorithm. The requirement to use a formal knowledge-representation language means that most domain experts will not be able to articulate their expertise, even when a learning algorithm is capable of exploiting such valuable information. We investigate a method to ease this knowledge acquisition through the use of a graphical, human-computer interface. Our interface allows users to easily provide advice about specific examples, rather than requiring them to provide general rules; we leave the task of properly generalizing such advice to the learning algorithms. We demonstrate the effectiveness of our approach using the Wargus real-time strategy game, comparing learning with no advice to learning with concrete advice provided through our interface, as well as comparing to using generalized advice written by an AI expert. Our results show that our approach of combining a GUI-based advice language with an advice-taking learning algorithm is an effective way to capture domain knowledge.","PeriodicalId":324187,"journal":{"name":"International Conference on Knowledge Capture","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129069339","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
Eliciting domain expert misuseability conceptions 引出领域专家的可误用性概念
International Conference on Knowledge Capture Pub Date : 2011-06-26 DOI: 10.1145/1999676.1999721
Amir Harel, A. Shabtai, L. Rokach, Y. Elovici
{"title":"Eliciting domain expert misuseability conceptions","authors":"Amir Harel, A. Shabtai, L. Rokach, Y. Elovici","doi":"10.1145/1999676.1999721","DOIUrl":"https://doi.org/10.1145/1999676.1999721","url":null,"abstract":"In previous work we proposed the M-score measure for assigning a misuseability (i.e., sensitivity) score to data records. The M-score uses sensitivity score functions that should be acquired from domain experts. In this paper we present two different approaches for acquiring the required knowledge. In the first method the expert is asked to explicitly assign a sensitivity score to displayed records. The second method employs pairwise comparison approach. A field study indicates that the later method is preferable.","PeriodicalId":324187,"journal":{"name":"International Conference on Knowledge Capture","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114334905","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
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