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Proceedings of the seventh international conference on Knowledge capture最新文献

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Flower voice: virtual assistant using LOD 花声:使用LOD的虚拟助手
Proceedings of the seventh international conference on Knowledge capture Pub Date : 2013-06-23 DOI: 10.1145/2479832.2479862
Takahiro Kawamura, Akihiko Ohsuga
{"title":"Flower voice: virtual assistant using LOD","authors":"Takahiro Kawamura, Akihiko Ohsuga","doi":"10.1145/2479832.2479862","DOIUrl":"https://doi.org/10.1145/2479832.2479862","url":null,"abstract":"Recently, urban greening and agriculture have been receiving increased attention, but the cultivation of greenery is not a simple matter in a restricted space. Therefore, we propose Flower Voice, a voice assistant for smartphones that answers questions users will be faced on site, and provides a mechanism for registering the work. The system uses Linked Open Data as a knowledge source, and features improvemnt of accuracy based on user feedback and acquisitions of new data by user participation. This paper presents Plant LOD and an architecture of the sytem, and then evaluates the improvement of the accuracy.","PeriodicalId":388497,"journal":{"name":"Proceedings of the seventh international conference on Knowledge capture","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125042688","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
Quality problem identification in automatically constructedontologies 自动构造本体中的质量问题识别
Proceedings of the seventh international conference on Knowledge capture Pub Date : 2013-06-23 DOI: 10.1145/2479832.2479836
Toader Gherasim, G. Berio, M. Harzallah, P. Kuntz
{"title":"Quality problem identification in automatically constructedontologies","authors":"Toader Gherasim, G. Berio, M. Harzallah, P. Kuntz","doi":"10.1145/2479832.2479836","DOIUrl":"https://doi.org/10.1145/2479832.2479836","url":null,"abstract":"The validation of ontology quality is still a challenging task and is becoming even more so whenever ontologies are automaticall built. In previous works, we proposed a quite large classification of quality problems that need to be carefully analyzed for accomplishing the validation task. In this communication, we are going to identify the links between potential quality problems and the steps required to build an ontology. These problems result in what we call the \"suboptimal executions\" of those steps.","PeriodicalId":388497,"journal":{"name":"Proceedings of the seventh international conference on Knowledge capture","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125290317","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
Unsupervised wrapper induction using linked data 使用链接数据的无监督包装器归纳
Proceedings of the seventh international conference on Knowledge capture Pub Date : 2013-06-23 DOI: 10.1145/2479832.2479845
Anna Lisa Gentile, Ziqi Zhang, Isabelle Augenstein, F. Ciravegna
{"title":"Unsupervised wrapper induction using linked data","authors":"Anna Lisa Gentile, Ziqi Zhang, Isabelle Augenstein, F. Ciravegna","doi":"10.1145/2479832.2479845","DOIUrl":"https://doi.org/10.1145/2479832.2479845","url":null,"abstract":"This work explores the usage of Linked Data for Web scale Information Extraction and shows encouraging results on the task of Wrapper Induction. We propose a simple knowledge based method which is (i) highly flexible with respect to different domains and (ii) does not require any training material, but exploits Linked Data as background knowledge source to build essential learning resources. The major contribution of this work is a study of how Linked Data - an imprecise, redundant and large-scale knowledge resource - can be used to support Web scale Information Extraction in an effective and efficient way and identify the challenges involved. We show that, for domains that are covered, Linked Data serve as a powerful knowledge resource for Information Extraction. Experiments on a publicly available dataset demonstrate that, under certain conditions, this simple unsupervised approach can achieve competitive results against some complex state of the art that always depends on training data.","PeriodicalId":388497,"journal":{"name":"Proceedings of the seventh international conference on Knowledge capture","volume":"43 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115549383","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: 34
Automatic organization of human task goals for web-scale problem solving knowledge 为网络规模的问题解决知识自动组织人工任务目标
Proceedings of the seventh international conference on Knowledge capture Pub Date : 2013-06-23 DOI: 10.1145/2479832.2479846
Jihee Ryu, Hwon Ihm, Sung-Hyon Myaeng
{"title":"Automatic organization of human task goals for web-scale problem solving knowledge","authors":"Jihee Ryu, Hwon Ihm, Sung-Hyon Myaeng","doi":"10.1145/2479832.2479846","DOIUrl":"https://doi.org/10.1145/2479832.2479846","url":null,"abstract":"Problem solving knowledge is omnipresent and scattered on the Web. While extracting and gathering such knowledge has been a focus of attention, it is equally important to devise a way to organize such knowledge for both human and machine consumption with respect to task goals. As a way to provide an extensive knowledge structure for human task goals, with which human problem solving knowledge extracted from Web resources can be organized, we devised a method for automatically grouping and organizing the goal statements in a Web 2.0 site that contains over two millions how-to instruction articles covering almost all task domains. In the proposed method, task goals having semantically and task-categorically similar action types and object types are grouped together by analyzing predicate-argument association patterns across all the goal statements through bipartite EM-like modeling. The result obtained with the unsupervised machine learning algorithm was evaluated by means of a human-annotated data set in a sample domain.","PeriodicalId":388497,"journal":{"name":"Proceedings of the seventh international conference on Knowledge capture","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121004683","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
Mapping structural design patterns in OWL to ontological background models 将OWL中的结构设计模式映射到本体背景模型
Proceedings of the seventh international conference on Knowledge capture Pub Date : 2013-06-23 DOI: 10.1145/2479832.2479847
V. Svátek, Martin Homola, Ján Kľuka, Miroslav Vacura
{"title":"Mapping structural design patterns in OWL to ontological background models","authors":"V. Svátek, Martin Homola, Ján Kľuka, Miroslav Vacura","doi":"10.1145/2479832.2479847","DOIUrl":"https://doi.org/10.1145/2479832.2479847","url":null,"abstract":"The concerns of efficient data management and logical inference on the Semantic Web often lead to disconnection between the surface structure of RDF/OWL data/ontologies and the background state of affairs. The PURO ontology background model language allows to explicitly capture the mapping between the foreground and background modeling layers. The background modeling primitives are intentionally kept analogous to those of RDF/OWL, namely, derived from the particular-universal and relationship-object distinctions. We project the PURO framework onto the W3C CPV family of structural design patterns, thus providing additional insights into them and possibly facilitating their selection and reuse.","PeriodicalId":388497,"journal":{"name":"Proceedings of the seventh international conference on Knowledge capture","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121542149","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: 17
An empirical evaluation of ontology-based semantic annotators 基于本体的语义注释器的经验评价
Proceedings of the seventh international conference on Knowledge capture Pub Date : 2013-06-23 DOI: 10.1145/2479832.2479855
Srécko Joksimovíc, J. Jovanović, D. Gašević, A. Zouaq, Z. Jeremic
{"title":"An empirical evaluation of ontology-based semantic annotators","authors":"Srécko Joksimovíc, J. Jovanović, D. Gašević, A. Zouaq, Z. Jeremic","doi":"10.1145/2479832.2479855","DOIUrl":"https://doi.org/10.1145/2479832.2479855","url":null,"abstract":"One of the most important prerequisites for achieving the Semantic Web vision is semantic annotation of data/resources. Semantic annotation enriches unstructured and/or semistructured content with a context that is further linked to the structured domain-specific knowledge. In particular, ontologybased semantic annotators enable the selection of a specific ontology to annotate content. This paper presents results of an empirical study of recent ontology-based annotators, namely Stanbol, KIM, and SDArch. Specifically, we evaluated the robustness of these annotators with respect to specific features of ontology concepts such as the length of concepts? labels and their linguistic categories (e.g., prepositions and conjunctions). Our results show that although significantly correlated according to most of the conducted evaluations, tools still exhibit their unique features that could be a topic of new research.","PeriodicalId":388497,"journal":{"name":"Proceedings of the seventh international conference on Knowledge capture","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123842428","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: 8
Interactive acquisition of fuzzy ontological knowledge indialogue systems 模糊本体知识对话系统的交互获取
Proceedings of the seventh international conference on Knowledge capture Pub Date : 2013-06-23 DOI: 10.1145/2479832.2479834
Panos Alexopoulos, José Manuél Gómez-Pérez
{"title":"Interactive acquisition of fuzzy ontological knowledge indialogue systems","authors":"Panos Alexopoulos, José Manuél Gómez-Pérez","doi":"10.1145/2479832.2479834","DOIUrl":"https://doi.org/10.1145/2479832.2479834","url":null,"abstract":"In this paper we present a novel semi-automatic framework for acquiring and maintaining fuzzy ontological knowledge in dialogue systems. The main goal is to narrow the vagueness interpretation gap between the systems and their users and thus offer better information services to the latter.","PeriodicalId":388497,"journal":{"name":"Proceedings of the seventh international conference on Knowledge capture","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129115144","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
Concept adjustment for description logics 描述逻辑的概念调整
Proceedings of the seventh international conference on Knowledge capture Pub Date : 2013-06-23 DOI: 10.1145/2479832.2479851
Yue Ma, Felix Distel
{"title":"Concept adjustment for description logics","authors":"Yue Ma, Felix Distel","doi":"10.1145/2479832.2479851","DOIUrl":"https://doi.org/10.1145/2479832.2479851","url":null,"abstract":"There exist a handful of natural language processing and machine learning approaches for extracting Description Logic concept definitions from natural language texts. Typically, for a single target concept several textual sentences are used, from which candidate concept descriptions are obtained. These candidate descriptions may have confidence values associated with them. In a final step, the candidates need to be combined into a single concept, in the easiest case by selecting a relevant subset and taking its conjunction. However, concept descriptions generated in this manner can contain false information, which is harmful when added to a formal knowledge base. In this paper, we claim that this can be improved by considering formal constraints that the target concept needs to satisfy. We first formalize a reasoning problem for the selection of relevant candidates and examine its computational complexity. Then, we show how it can be reduced to SAT, yielding a practical algorithm for its solution. Furthermore, we describe two ways to construct formal constraints, one is automatic and the other interactive. Applying this approach to the SNOMED CT ontology construction scenario, we show that the proposed framework brings a visible benefit for SNOMED CT development.","PeriodicalId":388497,"journal":{"name":"Proceedings of the seventh international conference on Knowledge capture","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116946340","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
Capturing programming content in online discussions 捕获在线讨论中的编程内容
Proceedings of the seventh international conference on Knowledge capture Pub Date : 2013-06-23 DOI: 10.1145/2479832.2479843
Mahdy Khayyamian, J. Kim
{"title":"Capturing programming content in online discussions","authors":"Mahdy Khayyamian, J. Kim","doi":"10.1145/2479832.2479843","DOIUrl":"https://doi.org/10.1145/2479832.2479843","url":null,"abstract":"In this paper, we introduce a new problem: automatically capturing programming content in online discussions. We expect solving this problem helps enhance visual presentation of programming forum content, qualitative analysis of forum contributions, and forum text preprocessing and normalization. We map this problem to a sequence learning problem and use Conditional Random Fields to solve it. We compare the performance with a word-feature based baseline and a nonsequence classification method (Naïve Bayes). The best results are produced by CRF method with an F1-Score as of 86.9%. Moreover, we demonstrate that the CRF classifier maintains a good accuracy across different domains; a model learned from a C++ forum performs almost as well on other programming language forums for Java and Python. As a demonstration of how captured information can be used, we provide an example of user profiling with programming content. In particular, we correlate the percentage of programming content in student answers to the student's course performance.","PeriodicalId":388497,"journal":{"name":"Proceedings of the seventh international conference on Knowledge capture","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126965156","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
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