Markup Languages最新文献_第3页

A Visual Approach to Authoring XPath Expressions 创建XPath表达式的可视化方法

Markup Languages Pub Date : 2001-04-01 DOI: 10.1162/109966201317356407

M. Abe, M. Hori

{"title":"A Visual Approach to Authoring XPath Expressions","authors":"M. Abe, M. Hori","doi":"10.1162/109966201317356407","DOIUrl":"https://doi.org/10.1162/109966201317356407","url":null,"abstract":"Web metadata is crucial for providing machine-understandable descriptions of Web resources, and has a number of applications such as discovery, qualification, and adaptation of Web contents. While metadata is often embedded into a target document, metadata can also be associated externally by means of an addressing scheme such as the XPath language. However, creation and modification of external metadata solely with a conventional editor is not easy because metadata authoring involves the maintenance and elaboration of addressing expressions as well as editing individual documents. The objective of this study is to advance extensibility in the design of annotation editors with particular emphasis on a visual approach to authoring XPath expressions. The key idea behind the XPath authoring process is to facilitate flexibility in the creation of XPath expressions as a result of the seamless integration of three authoring methods: instantaneous creation, context-constrained creation, and manual creation. In this paper, we briefly introduce a framework for external annotation first, and give a high-level overview of our annotation editor. The three XPath creation methods are then explained, showing examples of XPath expressions and the graphical user interface for visual authoring process. Finally, we present our annotation editor developed with the visual XPath authoring capability, and show how the annotation editor is customized for an annotation vocabulary at hand.","PeriodicalId":137935,"journal":{"name":"Markup Languages","volume":"876 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115139712","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

Beyond the "descriptive vs. procedural" distinction 超越“描述性vs.程序性”的区别

Markup Languages Pub Date : 2001-04-01 DOI: 10.1162/109966201317356380

W. Piez

引用次数: 24

The Gnome DOM Engine Gnome DOM引擎

Markup Languages Pub Date : 2001-04-01 DOI: 10.1162/109966201317356399

P. Casarini, L. Padovani

引用次数: 9

Ferrets and topic maps: knowledge engineering for an analytical engine 雪貂和主题图:分析引擎的知识工程

Markup Languages Pub Date : 2001-04-01 DOI: 10.1162/109966201317356371

J. Mason

{"title":"Ferrets and topic maps: knowledge engineering for an analytical engine","authors":"J. Mason","doi":"10.1162/109966201317356371","DOIUrl":"https://doi.org/10.1162/109966201317356371","url":null,"abstract":"The “Ferret” analytical engine, developed originally by the Y-12 National Security Complex of the U.S. Department of Energy to seek classified data and associations in documents and present its findings in the light of formal rules, requires a structured information base that represents not just individual facts but a set of implications and a collection of rules. The fundamental knowledge base is evolving towards forms that enhance flexibility and portability. The developers early realized that the knowledge base can be captured in XML by a series of trees that represent taxonomies, analytical structures, and specific indicative facts, but over this a topic map is needed to express links across the trees. Above this, the classification rules could form another topic map that points into the lower layers. In its latest form, however, the knowledge base has come to be entirely represented in a topic map. The “Ferret” engine combines sophisticated searching with rule-driven analysis and reporting. In its original application, the Ferret engine performs the equivalent of 5,000 simultaneous searches while reading documents at several thousand words per second. The analysis traces implications of concepts discovered in searching and applies the rules for interpreting implications and the actions to be taken when a significant piece of information is found. Because the topic maps that represent this knowledgecan be switched easily, Ferret can be reprogrammed to many tasks, including selection and categorization, scanning of e-mail and newsfeeds, diagnostics, and query expansion, in addition to the original classification application. Information Classification and the Origins of the Ferret System When the Y-12 National Security Complex (Y-12), a manufacturing facility of the U.S. Department of Energy (DOE) in Oak Ridge, Tennessee, started developing tools to support its management of classified documents, it was faced with the task of capturing the knowledge of how to identify classified information. Once captured, such knowledge would have to be stored in a maintainable fashion that was also accessible to Ferret, the automated analytical tool that we had developed. The Ferret project team initially developed a knowledge base as part of the program development. Since this hand-built base was difficult for anyone other than the original developer to maintain, the team soon settled on a knowledge base in XML that depends on developer to maintain, the team soon settled on a knowledge base in XML that depends on some familiar techniques, like tables and hierarchical trees, and adds to them an adaptation of the new techniques of topic maps (ISO/IEC 13250:2000). The knowledge base is now in transition to a topic map representation based on the XTM (XML Topic Map, www.topicmaps.org) specification. Since the original classification project, the applications for both the Ferret engine and the knowledge-engineering techniques have expanded. Although Y-12 is no l","PeriodicalId":137935,"journal":{"name":"Markup Languages","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124399920","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

SGML: the next generation SGML:下一代

Markup Languages Pub Date : 2000-12-01 DOI: 10.1162/109966201753537178

A. Slotnik

引用次数: 1

From semistructured data to XML 从半结构化数据到XML

Markup Languages Pub Date : 2000-03-01 DOI: 10.1162/10996620052104276

Roy Goldman, J. McHugh, J. Widom

引用次数: 43

The problem of anomalous data: a transformational approach 异常数据的问题:一种转换方法

Markup Languages Pub Date : 1999-09-01 DOI: 10.1162/109966299760283157

D. Birnbaum, David A. Mundie