Relational schemas for semi-structured data
Structured and Semi-Structured Data Integration
... heterogeneous data sources, developed in the context of a collaboration between the University of Rome “La Sapienza” and CM ...complex data integration environment, including source wrapping, limitations on ...
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NETMARK: A SCHEMA-LESS EXTENSION FOR RELATIONAL DATABASES FOR MANAGING SEMI-STRUCTURED DATA DYNAMICALLY
... 3.2 Universal Process Flow The NETMARK closed-loop universal process flow is shown in Figure 1. The information bus comprises of an Apache HTTP web server integrated with Tomcat Java- based JSP/Servlet container engine. ...
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Emergent relational schemas for RDF
... oso still maintains both the row/column storage schemes, Virtuoso 7 (the currently latest version of Virtuoso), by default, uses column-wise storage for its indices be- cause of several compelling advantages. First of ...
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Querying distributed heterogeneous structured and semi-structured data sources
... s structured d ata resid in g in relational d atab ases and sem i-stru ctu red d ata held in w ell- form ed X M L docum ...g data source Schem a Structure D efin itio n (S S D ), w h ich are defined ...
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Mutation Analysis of Relational Database Schemas
... test data they have created through mutation ...different data to the original ...the data supplied as part of the NIST test suite – an SQL conformance suite used to check the correctness of a DBMS ...
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DOMINO: Fast and effective test data generation for relational database schemas
... assets. Data engineers commonly use a relational database because its schema ensures the validity and consistency of the stored data through the specification and enforcement of integrity ...test ...
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Data value storage for compressed semi-structured data
... compressed data to increase must be treated with caution, as the reduction in terms of overall dictionary size could easily be negated by the consequent increase in compressed data ...compressed data ...
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Automated Software Testing of Relational Database Schemas
... CHECK constraint (CC)). The hashed box shows that this schema did not have a UNIQUE test. This show all groups answered questions involving an ade- quate test case created by each test generation technique for each of ...
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Automatic ontology learning from semi-structured data
... More specifically, this thesis brought an insight into building ontologies from tabular data in HTML documents. These HTML documents are the input to the implemented ontology learning system. First, the documents ...
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Collectively Representing Semi Structured Data from the Web
... hyponym data, and show that with a small number of primitive oper- ations, this representation can be used effec- tively for many ...available semi-structured datasets from the ...
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Data Access over Large Semi-Structured Databases
... store data and handle queries from distinct ...for relational databases (Atomicity Consistency Isolation Durability), that en- sures the reliability of data ...and data manipulation throughout ...
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Discovery driven analysis on semi-structured text data
... the data cube has been expanded along one regular dimension and one topic dimension, the system does not allow more ...2D data can be ...whole data cube is accessible through slices of 2 ...digest ...
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Collectively Representing Semi-Structured Data from the Web
... Introduction Semi-structured data extracted from the web (in some cases extended with hyponym data derived from Hearst patterns like “X such as Y”) have been used in several tasks, including ...
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On the Quality of Relational Database Schemas in Open-source Software
... of relational schemas [49], at the price of mostly man- ual investigations by field ...address data models [55][56] or database schemata either in the relational [57][58] or object ...
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Integrating Relational Database Schemas using a Standardized Dictionary
... the data which allows for greater flexibility and for existing systems to be unmodified during integra- ...all data sources and no translational or wrapper software is ...
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Chapter 12. XML and Internet Databases. Introduction. Structured, Semi Structured and Unstructured Data
... as data elements: This approach would work for storing a collection of documents that follow a specific XML DTD or XML ...a relational (or object) database to store the leaf-level data elements ...
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Chapter 29 Keyword Search on Large-Scale Structured, Semi-Structured, and Unstructured Data
... of structured, semi-structured, and unstructured data in various applications that contain abundant text ...those data sources include relational tables, XML data, labeled ...
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Generalized discrimination discovery on semi-structured data supported by ontology
... in data collection, processing, management and storage ...example, data warehouses store data of banking transactions, sales and purchases, personal health records, etc; genomic databases contain ...
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A new approach for interlinking and integrating semi-structured and linked data
... Linked Data datasets cannot rely on and employ the structure of these datasets in the reconcil- iation ...Linked Data sources, the datasets generally are expressed in a data-mining and parsing ...
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Multidimensional Modeling of Semi-Structured Data: XML Documents and Tweets
... Twitter is a system for information sharing; it allows a user to talk about their daily activities, to seek or share information and to track other users who post messages called Tweets. A tweet was originally restricted ...
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