Harshal Kamlesh Patni

****, ********* ***, *** # * Beavercreek, OH, USA 45324

http://knoesis.wright.edu/researchers/harshal/

http://www.linkedin.com/in/harshalpatni

abhxae@r.postjobfree.com

abhxae@r.postjobfree.com

Telephone : 937-***-****

Objective:

To pursue a high level of excellence in both technical and managerial

skills in the area of Web technologies, supplementing personal improvement

and organizational growth.

Education

Wright State University, Dayton, Ohio

Master of Science, Computer Science Fall 2007 - till date

GPA: 3.153

RAIT, University of Mumbai (Bombay), India

July 2007

Bachelor of Engineering, Computer Engineering

Second Class

Professional Experience

Graduate Research Assistant, Kno.e.sis Center, Wright State University

Summer 2008 - till date

. Linked Sensor Data

A number of government, corporate, and academic organizations are

collecting enormous amounts of data provided by environmental sensors.

However, this data is too often locked within organizations and

underutilized by the greater community. In this paper, we present a

framework to make this sensor data openly accessible by publishing it

on the Linked Open Data (LOD) Cloud. This is accomplished by

converting raw sensor observations to RDF and linking with other

datasets on LOD. With such a framework, organizations can make large

amounts of sensor data openly accessible, thus allowing greater

opportunity for utilization and analysis.

1. Webpage - http://wiki.knoesis.org/index.php/LinkedSensorData

2. Affiliated Workshop Paper -

http://knoesis.wright.edu/library/resource.php?id=780

3. Associated Tools - Page Under Construction

4. LinkedSensorData on LOD - http://knoesis.wright.edu/ssw/

. Semantic Library Toolkit

Semantic Library Toolkit is an online academic library publications

management software based on Semantic Web technologies. The system

includes a web based interface to add, edit and manage publications

and author information. The data is stored in RDF making it easier to

link to other datasets on Linked Open Data Cloud (LOD) like DBPedia

(for author and conference information), GeoNames (for location

information about the conference venues) etc. The tool is deployed and

in-use at Kno.e.sis Center (http://knoesis.org/) for managing academic

publications. The system also contains a web service API to easily add

new management tasks for the academic library. The tool is currently

being integrated with Drupal and would be released under an open

source licence in the near future.

1. Webpage - http://knoesis.org/library

. Sensor Discovery on Linked Data

There has been a drive recently to make sensor data accessible on the

Web. However, because of the vast number of sensors collecting data

about our environment, finding relevant sensors on the Web is a non-

trivial challenge. In this paper, we present an approach to

discovering sensors through a standard service interface over Linked

Data. This is accomplished with a semantic sensor network middleware

that includes a sensor registry on Linked Data and a sensor discovery

service that extends the OGC Sensor Web Enablement. With this

approach, we are able to access and discover sensors that are

positioned near named-locations of interest.

1. Affiliated Technical Report -

http://knoesis.wright.edu/library/resource.php?id=851

2. Demo - http://bit.ly/dEVPUO

3. Prototype - http://knoesis1.wright.edu/SSW_NEW_BETA/

. Provenance Aware Linked Sensor Data

Provenance, from the French word "provenir", describes the lineage or

history of a data entity. Provenance is critical information in the

sensors domain to identify a sensor and analyze the observation data

over time and geographical space. In this paper, we present a

framework to model and query the provenance information associated

with the sensor data exposed as part of the Web of Data using the

Linked Open Data conventions. This is accomplished by developing an

ontology-driven provenance management infrastructure that includes a

representation model and query infrastructure. This provenance

infrastructure, called Sensor Provenance Management System (PMS), is

underpinned by a domain specific provenance ontology called Sensor

Provenance (SP) ontology. The SP ontology extends the Provenir upper

level provenance ontology to model domain-specific provenance in the

sensor domain. In this paper, we describe the implementation of the

Sensor PMS for provenance tracking in the Linked Sensor Data.

1. Affiliated Workshop Paper -

http://knoesis.wright.edu/library/resource.php?id=800

. RDF based Web Forms Infrastructure for Tarleton Research Laboratory

Biologists at Tarleton Research Laboratory perform scientific

experiments and the data generated during these experiments is stored

in MYSQL database. Retrieving specific results from database requires

a programmer writing on-demand queries. This project involved

converting the past experimental data into RDF and building new web

forms to add and edit data into the RDF store. Finally using Cuebee

(Knowledge Driven Query Formulation) to query scientific data in real-

time without the intervention of a programmer.

1. Prototype - Shortly to be in use at http://paige.cb.uga.edu/

Grader

Fall 2007-Spring 2008 Computer Science

& Engineering Dept., Wright State University, Ohio

Thesis Topic

From Real Time Sensor Streams to Real Time Feature Streams

Sensors are increasingly being deployed for continuous monitoring of

physical phenomena, resulting in avalanche of sensor data. Current sensor

data streams provide summaries (e.g., min., max., avg.) of how phenomena

change over time; however, such summaries are of little value to decision

makers attempting to attain an insight or an intuitive awareness of the

situation. Event-streams, on the other hand, provide a higher-level of

abstraction over the sensor data and provide actionable knowledge useful to

the decision maker. In this work, we present an approach to generate event-

streams in real-time. This is accomplished through the application of

ontological domain knowledge in order to integrate sensor data streams and

infer the existence of real-world events. The generated event-streams are

publicly accessible on the Linked Open Data (LOD) Cloud.

1. Prototype - http://knoesis1.wright.edu/EventStreams/

2. Affiliated Technical Report -

http://knoesis.wright.edu/library/resource.php?id=1004

Publications

WORKSHOP PAPER

. Harshal Patni, Cory Henson, Amit Sheth, 'Linked Sensor Data,' In:

Proceedings of 2010 International Symposium on Collaborative

Technologies and Systems (CTS 2010), Chicago, IL, May 17-21, 2010.

. Harshal Patni, Satya S. Sahoo, Cory Henson, Amit Sheth. Provenance

Aware Linked Sensor Data, 2nd Workshop on Trust and Privacy on the

Social and Semantic Web (SPOT 2010).

TECHNICAL REPORT

. Joshua Pschorr, Cory Henson, Harshal Patni, and Amit Sheth. Sensor

Discovery on Linked Data, Kno.e.sis Center technical Report, December

2009.

. Harshal Patni, Cory Henson, Amit Sheth, Pramod Ananthram, 'From Real

Time Sensor Streams to Real Time Feature Streams', Kno.e.sis Center

technical Report, December 2011.

Technical Skills

. Programming Languages Java, C, Scheme, Ruby,

Perl, PHP

. Web

HTML, XML, CSS, XSLT, XPATH,

XQUERY, JSON, JSP, JAVA Servlet, Drupal

. Semantic Web RDF, OWL, SPARQL, Protege

. DBMS MySQL, MS

Access

. Operating Systems Linux

Fedora/Ubuntu, Windows 9x/2000/XP/NT/Vista

. Application Servers Apache Tomcat,

Apache HTTP Server

. Other Relevant Technical skills Microsoft Office

Relevant Coursework

Database Systems and Design

Parallel Computer Architecture

Services Science

Information Retrieval

Web3.0: Social, Services, Sensor Semantic Web

Web Information Systems

Semantic Web

Programming Languages

Comparative Languages

GRADUATE RESEARCH Projects

Web3.0: Social, Services, Sensor Semantic Web

Winter 2009

Working on a part of Citizen Sensor project where human being's act as

sensors. The main objective of this project is to understand the events

from the perspective of general citizens. Basically involves extracting

tweets from twitter for a specific domain, Financial Crises in our case,

looking for interesting concepts in the tweets, searching for those

concepts in a rich domain model like an Ontology (carved from Wikipedia in

our case) to get more information about the concept. Finally semantically

annotating the concepts using the Ontology classes which would help

understanding the picture from an individual's perspective and lead to

applications like trend analysis etc. My work in the project deals with

providing interfaces between the tweets extraction and the RDF store

containing all the instances related to a specific domain. The instances

were taken as a dump from DBpedia (http://dbpedia.org). The interfaces

were built using the Sesame RDF API. Research oriented challenges involved

taking 2 terms retrieved from a tweet and looking for relations present

between the terms in the RDF store which could be multiple hops away.

Semantic Web

Fall 2008

The major goal of this project was converting Observation and Measurements

Language an OGC specification to Resource Description framework.

Observation and Measurement Language (XML language) encodes data within

XML nodes having the same name. The problem with approaches looked at then

converting XML to RDF, was that they did not allow using XPATH predicates

to map to the exact XML node. The tools allowed mapping to the topmost

class in the hierarchy and generated new Ontology Schema based on the XML

schema provided. Hence a JAVA approach was taken where the data required

from O&M was parsed out and looking at the structure of the existing

Ontology Schema and a Mapping file an RDF Instance was created

Web Information Systems

Spring 2008

Whooflix, Facebook project where the idea was to model a user in social

space using multi dimensional approach. Aided by shallow semantic models

that describe each dimension, a network can be expressed as a space of

users with links existing between users at different dimensions. The

strength of the relationship can also be modeled along each dimension. In

Whooflix we looked at the dimension of movies where my work was to extract

movie related data from IMDB like movie names, actors, actresses, genre,

and directors and store the data in a MySQL database. The first step was

to understand the URL patterns for the movie names and search for a root

page to start the extraction from. Then using the page containing the year

information as the root page, branching out to get the information related

to movies. The entire framework for extraction was built in JAVA.

Graduate Projects

. Information Retrieval Winter

2009

Designing and implementing an Information Retrieval system over a

large collection of documents using Java for the back end and Java

Servlet technology for the front end interface. Important concepts

looked at were Lexical Analyzer, Stemmer, Inverted Index, Vector Space

Model etc.

. Parallel Computer Architecture

Fall 2008

Paper review project in which various Parallel Architectures, the

Parallel Algorithms that are specific to these architectures as well

as generic parallel algorithms and their performance metrics were

considered and compared.

. Database Systems and Design

Winter 2008

Retail Business Management System (RBMS) Database designed using MS

Access and transactions are implemented on the database using JAVA and

JDBC connectivity

WEBSITES BUILT

. International Journal for Semantics and Web Information Systems :

http://ijswis.org

Tools used: Drupal (http://drupal.org )

UNDERGRAD Projects

. SWIFTMAIL (A Mail Box Client)

Fall 2006

The objective of this project was to create a mail box client like

Outlook Express and to add additional features like emoticons which

were not a part of Outlook Express then.

Tool & Technologies: VB.net

extracurricular activities

. Chairman for CSI (Computer Society of India - RAIT chapter) a

technical organization for the year 2006 - 2007 (1st year for CSI -

RAIT when the event was held on an all INDIA level).

. Vice President for CSI (Computer Society of India - RAIT chapter) for

the year 2005 - 2006.

. Publicity Head for CSI (Computer Society of India - RAIT chapter) for

the year 2004 - 2005.

. Actively Participated in cultural activities and Blood Donation during

school & college.

LIST OF REFERENCES

1. Amit P. Sheth (Advisor)

Director, Kno.e.sis Center

Department of Computer Science & Engineering

Wright State University

3640 Colonel Glenn Hwy., Dayton, Ohio 45435-0001

Email: abhxae@r.postjobfree.com

2. Krishnaprasad Thirunarayan

Professor, Department of Computer Science & Engineering

Wright State University

3640 Colonel Glenn Hwy., Dayton, Ohio 45435-0001

Email: abhxae@r.postjobfree.com

Contact this candidate