CEIT-2016

16-18 December 2016 – Hammamet, Tunisia

SCDC Sciences & Culture Development Center

An up to date Dataset

of most Cited Authors and

Publications

Leila Zemmouchi-Ghomari, Dihya Ferhat,

Nour el houda Chellali

USTHB, Université des Sciences et Technologies Houari

Boumediene, Algiers, Algeria

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Abstract Problem: Literature review is an essential phase in

any research work. However, it is tricky and time

consuming.

Methods & Materials: an approach that combines

data accessible via the available academic search

engine APIs and the rich and constantly up to date

knowledge bases that is part of the linked data

cloud.

Results: A web application that provides most cited

authors and publications related to a research

field.

Conclusion: an up-to-date citations’ knowledge

base and a web interface that aggregates data from

several sources (linked data cloud)

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Web of documents

(data silos)

Introduction …Web of data

The Semantic Web - A Web of Data:

Semantics are made explicit by formal and

standardized knowledge representations.

Thus it will be possible,

○ to process the meaning of information

automatically

○ to relate and integrate heterogeneous

data

○ to deduce implicit information from

existing information in an automated way

The Semantic Web is kind

of a global database that

contains a universal

network of semantic

propositions.

Introduction

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The benefits of using lined data

• information can be dynamically aggregated from external,

publicly available data

• no specialized API necessary

• all data available as linked open data: encoded as RDF

• available via simple HTTP request

• data is always up-to-date without manual interaction

Aim of the work

Propose a generic approach to design and

implement a web application that exploits

the potential of linked data resources

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Problem to Solve: Case Study

Knowing the current

status in a given research

field is the aim of

literature review, i.e., to

identify most cited

authors, publications,

most well-known

journals and

conferences, best tools,

most informative blogs,

etc.

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Materials and Methods

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A linked data-driven web application (Hausenblas, M. 2009)

Materials and Methods Step 1: Develop a knowledge base to store citations

knowledge related to a research field (reuse of available ontologies

describing the domain of bibliographic citations such as:

http://www.sparontologies.net/ and http://bibliontology.com/

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Materials and Methods Step 2: Identify rich and up-to-date knowledge

bases to provide useful information about the authors

and their publications

"ResearcherId" "homepage" and "depiction“

And "affiliation“ and "field“.

Step 3: Identify web applications with available APIs

that deliver data about the most cited academic

authors and publications

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Materials and Methods

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Step 4: Query the selected APIs with HTTP requests

and query linked data knowledge bases with SPARQL

queries to populate our knowledge base with

complementary data

Materials and Methods

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Step 5: Develop a

web page that displays

on one hand a

classification of

research areas based

on well-established

classifications and on

the other hand

criteria of results

presentation (author

or publication).

Results Citations Knowledge base, available at (Dump file): https://sourceforge.net/projects/mostcitedauthorspublications/?source=directory

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Results

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Results

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Results

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Results

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Results

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Results Citations Knowledge base has been assessed (task based

assessment) via competency questions technique.

Our web application has not yet been assessed by end-users,

however…

We made the source code available as an open source code at

https://sourceforge.net/projects/authpubli-citations-app/

to enable developers to adapt it to their needs:

• In terms of sources

• In terms of research domain

• In terms of displayed information

Relevance of results depend heavily on the knowledge base

sources.

Conclusion & Discussion

Search engine APIs provide almost all required data from web

applications

Most web APIs have heterogeneous data models and different

access interfaces.

Linked data knowledge bases are based on standard technologies. This

standardization enables to exploit data in an unbounded and global graph

and discover new data sources by following RDF links.

Linked data knowledge bases are not yet rich enough to provide all

required data for web applications

Automatic mechanisms are needed to populate linked datasets from

search engines that crawls regularly millions of web pages (rich and up-to-

date)

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References

• C. Bizer and T. Heath, T. Berners Lee, “Linked data – the story

so far”, International Journal on Semantic Web and Information

Systems, vol. 5, no. 3, pp. 1–22, 2009.

• T. Berners Lee (2009) Linked data design issues [Online].

Available: http://www.w3.org/DesignIssues/LinkedData.htmls

• C. Bizer and T. Heath, Evolving the Web into a Global Data

Space, Morgan and Claypool Publishers, 2011.

• Hausenblas, M. (2009). Linked data applications. First

Community Draft, DERI.

• L. Richarson and S. Ruby, RESTful web service, O'Reilly Media,

Inc, 2008.

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