Search 250 million research papers

FOR XML DATA

Sandeep Jandhyala, Sandeep Jandhyala · 2006

Cited by 0

Querying XML data

Alin Deutsch, Alon Levy, Mary Fernandez et al. · 1999

Cited by 0

XML data parser

Qi, Wen · Open University of the Netherlands Research Portal · 2014

Cited by 0Open access

Synthetic XML data

Pavel Azalov, Fani Zlatarova · Bulgarian Portal for Open Science · 2004

This paper discusses an approach for Extended Markup Language (XML) document synthesis. It is presumed that the structure of the XML documents is determined by a corresponding description that represents a document type definition with some restrictions. The approach proposed in the paper is used to implement a prototype system generating XML documents.

Cited by 0Open access

XML data exchange

Marcelo Arenas, Leonid Libkin · Journal of the ACM · 2008

Data exchange is the problem of finding an instance of a target schema, given an instance of a source schema and a specification of the relationship between the source and the target. Theoretical foundations of data exchange have recently been investigated for relational data. In this article, we start looking into the basic properties of XML data exchange, that is, restructuring of XML documents that conform to a source DTD under a target DTD, and answering queries written over the target schema. We define XML data exchange settings in which source-to-target dependencies refer to the hierarchical structure of the data. Combining DTDs and dependencies makes some XML data exchange settings inconsistent. We investigate the consistency problem and determine its exact complexity. We then move to query answering, and prove a dichotomy theorem that classifies data exchange settings into those over which query answering is tractable, and those over which it is coNP-complete, depending on classes of regular expressions used in DTDs. Furthermore, for all tractable cases we give polynomial-time algorithms that compute target XML documents over which queries can be answered.

Cited by 112Open access

XML Data Integration

Huiping Cao, Qi Yan, K. Selçuk Candan et al. · IGI Global eBooks · 2010

Many applications require exchange and integration of data from multiple, heterogeneous sources. eXtensible Markup Language (XML) is a standard developed to satisfy the convenient data exchange needs of these applications. However, XML by itself does not address the data integration requirements. This chapter discusses the challenges and techniques in XML Data Integration. It first presents a four step outline, illustrating the steps involved in the integration of XML data. This chapter, then, focuses on the first two of these steps: schema extraction and data/schema mapping. More specifically, schema extraction presents techniques to extract tree summaries, DTDs, or XML Schemas from XML documents. The discussion on data/schema mapping focuses on techniques for aligning XML data and schemas.

Cited by 1

XML data mining

A. ROMEI, TURINI, FRANCO · CINECA IRIS Institutial research information system (University of Pisa) · 2010

With the spreading of XML sources, mining XML data can be an important objective in the near future. This paper presents a project focussed on designing a general-purpose query language in support of mining XML data. In our framework, raw data, mining models and domain knowledge are represented by way of XML documents and stored inside native XML databases. Data mining (DM) tasks are expressed in an extension of XQuery. Special attention is given to the frequent pattern discovery problem, and a way of exploiting domain-dependent optimizations and efficient data structures as deeper as possible in the extraction process is presented. We report the results of a first bunch of experiments, showing that a good trade-off between expressiveness and efficiency in XML DM is not a chimera.

Cited by 0

Example XML Data

Bradley Stewart Meyer · OSF Preprints (OSF Preprints) · 2021

Example XML input for Webnucleo codes.

Cited by 0Open access

Querying XML Data

Alin Deutsch, Mary Fernandez, Daniela Florescu et al. · 1999

this paper we address the problem of querying XML databases. We start spelling out some requirements for an XML query language in Section 2. Next we describe in some detail XML-QL in Section 3, a query language specially designed for XML, and also illustrate how it satisfies some of the requirements. Section 4 briefly reviews some other languages. We conclude in Section 5

Cited by 0

Live XML Data

Pemberton, S. (Steven) · CWI's Institutional Repository (Centrum Wiskunde & Informatica) · 2014

XML is often thought of in terms of documents, or data being transferred between machines, but there is an aspect of XML often overlooked, and that is as a source of live data, that can be displayed in different ways in real time, and used in interactive applications.
\n
\nIn this paper we talk about the use of live XML data, and give some examples of its use.

Cited by 0Open access

XML data parser

Qi, Wen · Data Archiving and Networked Services (DANS) · 2014

Cited by 0Open access

USPTO xml data

Zhang, Ruhao · Figshare · 2023

USPTO grant data (front page)

Cited by 0Open access

Live XML Data

S. (Steven) Pemberton · Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands · 2014

XML is often thought of in terms of documents, or data being transferred between machines, but there is an aspect of XML often overlooked, and that is as a source of live data, that can be displayed in different ways in real time, and used in interactive applications. In this paper we talk about the use of live XML data, and give some examples of its use.

Cited by 0Open access

XML internship data

Antonio Procentese · Zenodo (CERN European Organization for Nuclear Research) · 2022

Cited by 0Open access

XML Data Warehousing

H. V. Jagadish, Nuwee Wiwatwattana · 2008

Data warehousing is an important application of database technology. Even though XML is ubiquitous and there are many XML databases, there are almost no XML data warehouses today. This thesis overcomes two of the many barriers towards accomplishing this goal—by representing and manipulating efficiently multiple hierarchies within an XML database used as a warehouse. XML format is flexible, and permits the graceful representation of heterogeneous data. However, it is limited in that it assumes there is a single perfect hierarchy in which the data can be organized. When the information to be represented naturally has multiple dimensions, as in data warehouses, fundamental tensions appear in the modeling and schema design. Data represented as deep trees is often un-normalized, leading to update anomalies, while normalized data tends to be shallow, resulting in heavy use of expensive value-based joins. As a solution, we propose an evolutionary and novel extension of the standard one-dimensional XML data model into a multi-dimensional model, called the Multi-Colored Trees (MCT) logical data model. MCT permits trees with multi-colored nodes to signify participation in multiple dimensions. We have developed algorithms to transform design specifications given as ER diagrams into MCT schemas. These MCT schemas satisfy various desirable properties, such as node normal form, edge normal form, and association recoverability. Experimental studies with warehousing data show that the schemas we designed in MCT have many benefits over conventional XML schemas, including query efficiency, query expression ease, and update anomaly avoidance. Even after modeling issues are resolved, we still have to consider issues of efficient implementation. We extend bitmap join indices to the XML context, and demonstrate experimentally their benefit for typical queries, including those with low cardinality or high selectivity. We also consider the data cube, a core warehouse analysis operator involving aggregations along multiple dimensions, and show that it cannot readily be expressed or evaluated for XML data. Specifically, XML data is not always summarizable because of missing and repeated sub-elements. We define an XML version of the OLAP cube operator, and appropriately extend relational cube computation algorithms.

Cited by 2

Updating XML data

Tomáš Mikuš · Digital Repository (National Repository of Grey Literature) · 2012

Updating XML data is very wide area, which must solve a number of difficult problems. From designing language with sufficient expressive power to the XML data repository able to apply the changes. Ways to deal with them are few. From this perspective, is this work very closely dedicated only to the language XQuery. Thus, its extension for updates, for which the candidate recommendation by the W3C were published only recently. Another specialization of this work is to focus only on the XML data stored in the object­relational database with that repository will enforce the validity of documents to the scheme described in XML Schema. This requirement, combined with the possibility of updating of data in the repository is on the contradictory requirements. In this thesis is designed language based on XQuery language, designed and implemented evaluating of the update queries of the language on the store and a description and implementation of the store in object­relational database.

Cited by 0

XML Data Compression

Jelen, Michal · Brno University of Technology Digital Library (Brno University of Technology) · 2014

Tato diplomová práce se zabývá problematikou komprese XML dat. Popisuje charakteristiku a důležité pojmy XML jazyka, stejně tak AIXM, jakožto formát XML. Dokumentuje současné kompresní mechanizmy XML a rozděluje je do patřičných skupin. Dále se realizuje testování komprese XML za použití zmíněných metod a vyhodnocení výsledků. S přihlédnutím na zpracované údaje je vytvořena a prezentována aplikace, která za pomoci analýzy dat jednotlivých elementů umožňuje ztrátovou i bezeztrátovou kompresi AIXM. To vše s uživatelskými možnostmi výběru AIXM objektů a způsobu výsledné komprese.

Cited by 0

XML (Dynamic Data)

Tom Green, Tiago Dias · Apress eBooks · 2010

To this point in the book, we have dangled the use of XML in front of you with no real explanation of how it works. That time has arrived.

Cited by 0

USPTO xml data

Ruhao Zhang · Figshare · 2023

USPTO grant data (front page)

Cited by 0Open access

Querying XML Data

Alin Deutsch, Mary Fernandez, Daniela Florescu et al. · 1999

this paper we address the problem of querying XML databases. We start spelling out some requirements for an XML query language in Section 2. Next we describe in some detail XML-QL in Section 3, a query language specially designed for XML, and also illustrate how it satisfies some of the requirements. Section 4 briefly reviews some other languages. We conclude in Section 5 2 Requirements for a query language for XML

Cited by 0