WordnetLoom:一个集成了基于表单和基于图形的透视图的Wordnet开发系统

IF 0.4 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Data Mining Modelling and Management Pub Date : 2013-08-14 DOI:10.1504/IJDMMM.2013.055861
Maciej Piasecki, Michal Marcinczuk, Radoslaw Ramocki, M. Maziarz
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引用次数: 30

摘要

本文介绍了WordNetLoom——一个用于构建波兰语的plWordNet的WordNet开发应用程序。WordNetLoom提供了两种交互方式:一种是最初实现的基于表单的,另一种是最近引入的基于图形的。WordNet结构的图形化、活跃的表示使我们能够直接处理语法集和词汇语义关系的结构。本文对两种交互方式进行了比较,并对一组有经验的WordNetLoom用户进行了可用性评估。确定了应用程序开发的方向。一个新版本的WordNetWeaver——一个支持半自动WordNet扩展的工具——也被提出。新版本基于类似WordNetLoom的用户界面,利用所有类型的WordNet关系,并嵌入到WordNetLoom中。本文还讨论了该应用程序在WordNet开发中的作用,以及该应用程序可用于其他WordNet的程度。本文还介绍了一组支持团队工作协调和验证的基于www的工具。
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WordnetLoom: a Wordnet Development System Integrating Form-based and Graph-based Perspectives
The paper presents WordNetLoom – an application for WordNet development used in the construction of a Polish WordNet called plWordNet. WordNetLoom provides two means of interaction: a form-based, implemented initially, and a graph-based introduced recently. The graphical, active presentation of WordNet structure enables direct work on the structure of synsets and lexico-semantic relations. In the paper, the both means of interaction are compared and the results of the usability evaluation performed on a group of experienced WordNetLoom users are presented. Directions of the application development were identified. A new version of WordNetWeaver – a tool supporting semi-automated WordNet expansion – is also presented. The new version is based on the user interface similar to WordNetLoom, utilises all types of WordNet relations and is embedded in WordNetLoom. The paper discusses also the role of the application in WordNet development and the extent to which the application can be used for other WordNets. A set of WWW-based tools supporting team work coordination and verification is presented, too.
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来源期刊
International Journal of Data Mining Modelling and Management
International Journal of Data Mining Modelling and Management COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
1.10
自引率
0.00%
发文量
22
期刊介绍: Facilitating transformation from data to information to knowledge is paramount for organisations. Companies are flooded with data and conflicting information, but with limited real usable knowledge. However, rarely should a process be looked at from limited angles or in parts. Isolated islands of data mining, modelling and management (DMMM) should be connected. IJDMMM highlightes integration of DMMM, statistics/machine learning/databases, each element of data chain management, types of information, algorithms in software; from data pre-processing to post-processing; between theory and applications. Topics covered include: -Artificial intelligence- Biomedical science- Business analytics/intelligence, process modelling- Computer science, database management systems- Data management, mining, modelling, warehousing- Engineering- Environmental science, environment (ecoinformatics)- Information systems/technology, telecommunications/networking- Management science, operations research, mathematics/statistics- Social sciences- Business/economics, (computational) finance- Healthcare, medicine, pharmaceuticals- (Computational) chemistry, biology (bioinformatics)- Sustainable mobility systems, intelligent transportation systems- National security
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