Case Study for Ego-centric Citation Network

•Download as PPT, PDF•

1 like•618 views

Patent Citation Network Research Tool used to build and analyze technology landscape Ego-centric Citation Network and Social Citation Network. visit us for more

Technology

Case Study for Ego-centric
Citation Network
Brainvire Infotech Pvt. Ltd
www.brainvire.com
http://www.brainvire.com

Client Requirement
http://www.brainvire.com
The client demanded a web application to analyze patent’s
Identify the most important patents in a network
By utilizing the knowledge hidden in citation information
Patent citation network introduces a new approach to search
patent databases
To Build and analyze technology landscapes

The Patent Citation Research Tool
http://www.brainvire.com
Search patents more efficiently and faster
Quickly identify patent in your area of technology landscape
Identify patents that are most cited in the network
Build on integrations and intersections via Patent Dependency
Calculate relative measure of how much a patent cites
Compare patent portfolio strength

http://www.brainvire.com
The Output is in The Form of:
A Citation Network Diagram.
Lists of patents ranked on the following:
PDNI (Patent Dependency on Network Index)
NDPI (Network Dependency on Patent Index)
ECCI (Ego-Centric Citation Index)
Radar plots of top 20 patents in each category (PDNI, NDPI
and ECCI).

http://www.brainvire.com
Project Challenges
Extensive research and analysis
A comprehensive search required intensive search on
both databases
CPU usage depends upon the number of visitors
The most important of all was to ensure data security
Incorporating web usability principles

Technologies Used
http://www.brainvire.com
Operating System &
Server Management
Operating System & Server
Management
Red Hat Linux OS, Multi-Server Architecture
with Staging & Production Environment
through Version Controlling releases, Server
Optimization, Security & SSL
Implementation, Scheduler for Back-ups,
Alert Monitoring System Integration, Server
Performance Tuning at regular intervals,
Software Firewall Configuration &
Maintenance
Development Tools &
Environments
PHP5+, Apache Web Server, AJAX, Java
Script, HTML5, CSS3 etc.
Database
MYSQL Database Server, DB Clustering,
DB Optimization, Master Slave Replication,
Query Optimization, Scheduler for Backups

Manpower
http://www.brainvire.com
Project Leader 1
Developers 2
Designers 2
Quality Assurance Testers 1

Planning
http://www.brainvire.com
The Database layer containing MySQL Server Database, Tables and so
on
The Data Access layer containing the Data Access Objects responsible
for accessing data from the database.
The Business Logic layer consisting of all the business logic procedures
for various modules
The User Interface layer which forms the Graphical User Interface of the
website

Architecture
http://www.brainvire.com
The patent citation research tool was built around PHP
It can be executed directly from the UI layer
PHP files consisted of all the business logics used
The database in an object-oriented context
An interface translating the object logic to the relational logic
data from multiple tables and were entirely avoided with conditional
syntax
The UI layer was kept free of any business logic

Development Highlights
http://www.brainvire.com
A Robust architecture to quickly analyze a patent’s citation network
It enables the user to understand the technologies in vogue
Gives quick and efficient results for patent’s citation network
Identify the most important patents in that network
Also shows how strong your portfolio is
Web usability guidelines were strictly followed
Extensive pre-development research was carried out
The site was developed and fully functional in a short span of time

Sources :
http://www.brainvire.com/patent-citation-network-
research-tool
Contact Info : 1-631-897-7276
Email : info@brainvire.com
Website : www.brainvire.com
http://www.brainvire.com

Contact Us
https://www.facebook.com/Brainvire
https://twitter.com/Brainvire
http://google.com/+Brainvire
http://www.linkedin.com/company/brainvire-
infotech-pvt-ltd
Contact Info : 1-631-897-7276
Email : info@brainvire.com
Website : www.brainvire.com
http://www.brainvire.com

Vistatec has harnessed and integrated several mature natural language processing applications,linguistic resources and Internet scale knowledge graphs to automatically and discreetly enrich content.This reduces physical and cognitive effort for authors and linguists; and delivers added value tocustomers in the form of content that is more discoverable, interactive, sticky, and intelligent. Phil Ritchie (Vistatec)

II-SDV 2015, 20 - 21 April, in NiceDr. Haxel Consult

PhD Projects in Information Technology Research Guidance

PhD Services

IoT Observatory

Aastha Madaan

IoT Observatory is a global distributed catalogue of applications and data related to various IoT domains. It supports users from various scientific, administrative and social domains to collaborate, engage and contribute their existing data analytics in a secure way with other users. This can support both academic and industrial domains to create real value of the IoT data in terms of research and economics.

CIS14: Is the Cloud Ready for Enterprise Identity and Security Requirements?

CloudIDSummit

A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...

LeMeniz Infotech

A secure and dynamic multi keyword ranked search scheme over encrypted cloud data Do Your Projects With Technology Experts To Get this projects Call : 9566355386 / 99625 88976 Visit : www.lemenizinfotech.com / www.ieeemaster.com Mail : projects@lemenizinfotech.com Blog : http://ieeeprojectspondicherry.weebly.com Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/ Youtube:https://www.youtube.com/watch?v=eesBNUnKvws

II-SDV 2016 RightsDirect

Dr. Haxel Consult

Secure Phrase Search for Intelligent Processing ofEncrypted Data in Cloud-Bas...

JAYAPRAKASH JPINFOTECH

The term "Data Lake" has become almost as overused and undescriptive as "Big Data". Many believe that centralizing datasets in HDFS makes a data lake, but then they struggle to realize any tangible value. This talk will redefine the "Data Lake" by describing four specific, key characteristics that we at Koverse have learned are crucial to successful enterprise data lake deployments. These characteristics are 1) indexing and search across all data sets, 2) interactive access for all users in the enterprise, 3) multi-level access control, and 4) integration with data science tools. These characteristics define a system that lets people realize value from their data versus getting lost in the hype. The talk will go on to provide a technical description of how we have integrated several projects, namely Apache Accumulo, Hadoop, and Spark, to implement an enterprise data lake with these key features.

ICIC 2017: Technology Scouting: Decision Support in Strategic Analyses for Te...

Dr. Haxel Consult

Stefan Geißler (Expert System Deutschland, Germany) Tim Schloen (Fraunhofer IAO Stuttgart, Germany) Trying to keep up to date with developments, trends and opportunities even in narrow domains involves digesting and considering large amounts of textual information and often is beyond the reading capabilities of human experts. Large organisations may be able to cope with this challenge with dedicated analysis teams, but SMEs are overcharge with this information load. Under the label „Technology Scouting“ we present an approach to employ modern semantic technologies and artificial intelligence to (semi) automate the collection, analysis and reporting of large document collections in a way that allows to derive important insights for technology-driven companies: Which technologies and markets are emerging or moving, how do my clients, partners and competitors operate? After an introduction to the technological and methodological basis, we present experiences from past industry engagements where this aproach has be applied in production.

Egeria and graphs

ODPi

ODPi Egeria provides a framework for open metadata management, supporting many use cases in the governance of data in Data Lakes – as described in the Egeria webinar on 2nd June: “Data Lake Design with Egeria”. As described in that webinar, Egeria operates across the Data Lake, without needing centralization of metadata from the different tools into a central tool or repository. Metadata frequently describe relationships between things like Assets, Schemas, Glossaries, and Terms – and these relationships form graphs. Egeria is distributed in nature, enabling you to see a federated view of the metadata contained in multiple tools and metadata repositories. As a result, the discrete graphs naturally federate to form a distributed graph. In this session, we’ll cover the Open Metadata Repository Services (OMRS) layer that enables Egeria to operate across this distributed graph.

II-SDV 2015, 20 - 21 April, in NiceDr. Haxel Consult

HEBE Platform Technology

Alex G. Lee, Ph.D. Esq. CLP

HEBE platform is the world first big data blockchain system in integration with AI and IoT for personalized health & beauty care applications HEBE platform implements Xanadu database for big data management. Xanadu database can be integrated with existing blockchain network such as Ethereum or with custom developed blockchain network for secure data transaction & store/access/exploitation. HEBE platform implements various Dapps for proving research collaboration & personalized health & beauty care applications.

security in oracle database

ssuser40bb47

Security in oracle

ssuser40bb47

K nearest neighbor classification over semantically secure encrypted relation...

ieeepondy

K-NEAREST NEIGHBOR CLASSIFICATION OVER SEMANTICALLY SECURE ENCRYPTED RELATION...

I3E Technologies

Accurate and Efficient Secured Dynamic Multi-keyword Ranked Search

Dakshineshwar Swain

Secure Phrase Search for Intelligent Processing of Encrypted Data in Cloud-Ba...

JAYAPRAKASH JPINFOTECH

K nearest neighbor classification over semantically secure encrypted

Shakas Technologies

A social model for Literature Access: Towards a weighted social network of au...

Lamjed Ben Jabeur

This paper presents a novel retrieval approach for literature access based on social network analysis. In fact, we investigate a social model where authors represent the main entities and relationships are extracted from co-author and citation links. Moreover, we define a weighting model for social relationships which takes into account the authors positions in the social network and their mutual collaborations. Assigned weights express influence, knowledge transfer and shared interest between authors. Furthermore, we estimate document relevance by combing the document-query similarity and the document social importance derived from corresponding authors. To evaluate the effectiveness of our model, we conduct a series of experiments on a scientific document dataset that includes textual content and social data extracted from the academic social network "CiteULike". Final results show that the proposed model improves the retrieval effectiveness and outperforms traditional and social information retrieval baselines.

Measuring academic influence: Not all citations are equal

Andre Vellino

The importance of a research article is routinely measured by counting how many times it has been cited. However, treating all citations with equal weight ignores the wide variety of functions that citations perform. The research described in this presentation – work that was performed with Xiaodan Zhu, Peter Turney (National Research Council Canada) and Daniel Lemire (TELUQ, Université du Québec à Montréal) – aims to automatically identify the subset of references in a bibliography that have a central academic influence on the citing paper. To achieve this we examined the effectiveness of a variety of features in the citing paper that might plausibly predict the academic influence of a citation. We asked a group of authors to identify the key references in their own work and created a dataset in which citations were labeled according to their academic influence. Using automatic feature selection with supervised machine learning, we developed a model for predicting academic influence that achieves good performance on this dataset using only four features. The performance of these features inspired us to design an influence-primed h-index (the hip-index). According to our experiments, the hip-index is a better indicator of researcher performance than the conventional h-index.

What's hot

Victoria SPUG - Building Applications with SharePoint Search

Andy Hopkins

Enabling efficient multi keyword ranked search over encrypted mobile cloud da...

Pvrtechnologies Nellore

ENABLING EFFICIENT MULTI-KEYWORD RANKED SEARCH OVER ENCRYPTED MOBILE CLOUD D...

I3E Technologies

II-SDV 2015, 20 - 21 April, in NiceDr. Haxel Consult

A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...

Pvrtechnologies Nellore

ICIC 2013 New Product Introductions max.recallDr. Haxel Consult

ICIC 2017: Product presentations FIZ Karlsruhe

Dr. Haxel Consult

Enabling efficient multi keyword ranked search over encrypted mobile cloud da...

LeMeniz Infotech

One Large Data Lake, Hold the Hype

Jared Winick

ICIC 2017: Technology Scouting: Decision Support in Strategic Analyses for Te...

Dr. Haxel Consult

Egeria and graphs

ODPi

II-SDV 2015, 20 - 21 April, in NiceDr. Haxel Consult

HEBE Platform Technology

Alex G. Lee, Ph.D. Esq. CLP

security in oracle database

ssuser40bb47

Security in oracle

ssuser40bb47

K nearest neighbor classification over semantically secure encrypted relation...

ieeepondy

K-NEAREST NEIGHBOR CLASSIFICATION OVER SEMANTICALLY SECURE ENCRYPTED RELATION...

I3E Technologies

Accurate and Efficient Secured Dynamic Multi-keyword Ranked Search

Dakshineshwar Swain

Secure Phrase Search for Intelligent Processing of Encrypted Data in Cloud-Ba...

JAYAPRAKASH JPINFOTECH

K nearest neighbor classification over semantically secure encrypted

Shakas Technologies

What's hot (20)

Victoria SPUG - Building Applications with SharePoint Search

Enabling efficient multi keyword ranked search over encrypted mobile cloud da...

ENABLING EFFICIENT MULTI-KEYWORD RANKED SEARCH OVER ENCRYPTED MOBILE CLOUD D...

II-SDV 2015, 20 - 21 April, in Nice

A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...

ICIC 2013 New Product Introductions max.recall

ICIC 2017: Product presentations FIZ Karlsruhe

Enabling efficient multi keyword ranked search over encrypted mobile cloud da...

One Large Data Lake, Hold the Hype

ICIC 2017: Technology Scouting: Decision Support in Strategic Analyses for Te...

Egeria and graphs

II-SDV 2015, 20 - 21 April, in Nice

HEBE Platform Technology

security in oracle database

Security in oracle

K nearest neighbor classification over semantically secure encrypted relation...

K-NEAREST NEIGHBOR CLASSIFICATION OVER SEMANTICALLY SECURE ENCRYPTED RELATION...

Accurate and Efficient Secured Dynamic Multi-keyword Ranked Search

Secure Phrase Search for Intelligent Processing of Encrypted Data in Cloud-Ba...

K nearest neighbor classification over semantically secure encrypted

Viewers also liked

A social model for Literature Access: Towards a weighted social network of au...

Lamjed Ben Jabeur

Measuring academic influence: Not all citations are equal

Andre Vellino

Usage-Based vs. Citation-Based Recommenders in a Digital Library

Andre Vellino

There are two principal data sources for collaborative filtering recommenders in scholarly digital libraries: usage data obtained from harvesting a large, distributed collection of Open URL web logs and citation data obtained from the journal articles. This study explores the characteristics of recommendations generated by implementations of these two methods: the `bX' system by ExLibris and an experimental citation-based recommender, Sarkanto. Recommendations from each system were compared according to their semantic similarity to the seed article that was used to generate them. Since the full text of the articles was not available for all the recommendations in both systems, the semantic similarity between the seed article and the recommended articles was deemed to be the semantic distance between the journals in which the articles were published. The semantic distance between journals was computed from the ``semantic vectors'' distance between all the terms in the full-text of the available articles in that journal and this study shows that citation-based recommendations are more semantically diverse than usage-based ones. These recommenders are complementary since most of the time, when one recommender produces recommendations the other does not.

Data Citation, The Dataverse Network ®, and Contributor Identifiers

Micah Altman

Intelligent Web Crawling (WI-IAT 2013 Tutorial)

Denis Shestakov

<<< Slides can be found at http://www.slideshare.net/denshe/intelligent-crawling-shestakovwiiat13 >>> ------------------- Web crawling, a process of collecting web pages in an automated manner, is the primary and ubiquitous operation used by a large number of web systems and agents starting from a simple program for website backup to a major web search engine. Due to an astronomical amount of data already published on the Web and ongoing exponential growth of web content, any party that want to take advantage of massive-scale web data faces a high barrier to entry. We start with background on web crawling and the structure of the Web. We then discuss different crawling strategies and describe adaptive web crawling techniques leading to better overall crawl performance. We finally overview some of the challenges in web crawling by presenting such topics as collaborative web crawling, crawling the deep Web and crawling multimedia content. Our goals are to introduce the intelligent systems community to the challenges in web crawling research, present intelligent web crawling approaches, and engage researchers and practitioners for open issues and research problems. Our presentation could be of interest to web intelligence and intelligent agent technology communities as it particularly focuses on the usage of intelligent/adaptive techniques in the web crawling domain. -------------------

Analysing Large Citation Network

Milad Alshomary

Community detection in graphs with NetworKit

Benj Pettit

Current State and Future Trends:A citation network analysis of the Learning ...

Shane Dawson

Context Based Citation RecommendationCognizant Technology Solutions

Scopus Journal Metrics SNIP & SJR

f kersten

Elsevier's Scopus.com upgraded the Journal Analyzer with Source Normalized Impact per Paper (SNIP), which measures a source's contextual impact, and SCImago Journal Rank (SJR), which measures the scientific prestige of scholarly sources. These indicators will be applied to all journals indexed by Scopus and will be freely available to both subscribers and non-subscribers @ scopus.com and www.journalmetrics.com

Citation Analysis for the Free, Online Literature

Balachandar Radhakrishnan

SSH & the City. A network approach for tracing the societal contribution of t...

Nicolas Robinson-Garcia

Community Detection

Kanika Kanwal

Dynamic Community Detection for Large-scale e-Commerce data with Spark Stream...

Spark Summit

Frontera: open source, large scale web crawling framework

Scrapinghub

Apa Citation Style

dhemmo

Bibliometrics, Scintometrics, Citation analysis, Content analysisSumit Ranjan

Research or Proposal Writing - DEFINITION OF TERMS

Jaime Alfredo Cabrera

Community detection algorithms

Alireza Andalib

Getting started with CitNetExplorer

Nees Jan van Eck

Viewers also liked (20)

A social model for Literature Access: Towards a weighted social network of au...

Measuring academic influence: Not all citations are equal

Usage-Based vs. Citation-Based Recommenders in a Digital Library

Data Citation, The Dataverse Network ®, and Contributor Identifiers

Intelligent Web Crawling (WI-IAT 2013 Tutorial)

Analysing Large Citation Network

Community detection in graphs with NetworKit

Current State and Future Trends:A citation network analysis of the Learning ...

Context Based Citation Recommendation

Scopus Journal Metrics SNIP & SJR

Citation Analysis for the Free, Online Literature

SSH & the City. A network approach for tracing the societal contribution of t...

Community Detection

Dynamic Community Detection for Large-scale e-Commerce data with Spark Stream...

Frontera: open source, large scale web crawling framework

Apa Citation Style

Bibliometrics, Scintometrics, Citation analysis, Content analysis

Research or Proposal Writing - DEFINITION OF TERMS

Community detection algorithms

Getting started with CitNetExplorer

Similar to Case Study for Ego-centric Citation Network

Case Study For Service Providers Analysis Platform

Case Study for Ego-centric Citation Network

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Viewers also liked

Viewers also liked (20)

Similar to Case Study for Ego-centric Citation Network

Similar to Case Study for Ego-centric Citation Network (20)

More from Mike Taylor

More from Mike Taylor (20)

Recently uploaded

Recently uploaded (20)

Case Study for Ego-centric Citation Network