This is the manual for running my software U.K.Address extractor.It was built using a confluence of several technologies-Minorthird extraction package,jaxb,Yahoo search api to name a few.
This report talks about the deployment of the data cube,the various hierarchies built into it,the web service that was deployed and the graphs that were generated using this service.
This file contains description about some of our work on data-modelling.We have tried to approximate regular functions using machine learning techniques.The performance of the methods is compared here.
This file describes my work in detail on project swiss-experiment.It contains descriptions of my work on query optimization,data warehousing,Data interpolation parts of the project.
This is the complete project report for ONT-BUILDER.It contains all the details for making the software along with the references used.ONT-BUILDER is a light weight ontology creation tool, which constructs ontologies in RDF format from plain text. Ont-builder first parses text to preprocess text for tokenizing and POS tagging. The preprocessed text is then parsed for concept and term extraction. In the next step relations are extracted between
the various concepts
This document talks about the querying and visualization of data-cube in mathematica.I deployed the data cube using Microsoft sql server Analysis services.Then I deployed a web service using c# in the .net framework. The web service queries the data-cube and retrieves the results in XML format.
Xml to RDBMS Mapper is a generic mapper that maps xml to Relational database and stores it. The mapper takes as input a DTD(Document Type Definition) file or an XSD(XML Schema Definition) file and creates a relational schema(i.e., it creates tables) .Then, it takes the xml file as input and populates the database. The mapper is generic in the sense that it can take both DTD as well as XSD and create the schema. The created schema is also normalized.