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Ranking Authors on the Web: A Semantic AuthorRank

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Social Networks: Analysis and Case Studies

Part of the book series: Lecture Notes in Social Networks ((LNSN))

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Abstract

Author ranking is growing in popularity since search engines are considering the author’s reputation of a Web page when generating search results. A question that naturally arises is whether we should rank authors on the Web as we rank Web pages by considering their links. In addition, over what links to actually calculate author ranking? We have adopted an extended FOAF ontology, the so-called Co-AuthorOnto ontology, able to represent authors, but also their co-author links on the Web. We further extended Co-AuthorOnto with PageRank and AuthorRank metrics for ranking authors based on their co-author links. Important to note is that both PageRank and AuthorRank are implemented in Semantic Web Rule Language (SWRL), which represents a novelty and fits well with the semantic modeling of authors and their co-author relationships within FOAF. Preliminary semantic ranking results are demonstrated, showcasing also the huge potential of this ranking approach for adopting it by search engines where our future work will focus.

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Acknowledgments

We want to thank the personnel of the library at South East European University (SEEU), and the team colleagues of the Linked University Data project funded by the SEEU for providing the set of bibliographic data we experimented with. Also a thank you note is addressed to the IT staff at University of Prishtina for setting up a remote server to run the experiments.

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Authors and Affiliations

  1. Faculty of Electrical and Computer Engineering, University of Prishtina, Prishtina, Republic of Kosovo

    Lule Ahmedi, Lavdim Halilaj, Gëzim Sejdiu & Labinot Bajraktari

Authors
  1. Lule Ahmedi
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  2. Lavdim Halilaj
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  3. Gëzim Sejdiu
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  4. Labinot Bajraktari
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Corresponding author

Correspondence to Lule Ahmedi .

Editor information

Editors and Affiliations

  1. Computer and Informatics Department, Istanbul Technical University, Istanbul, Turkey

    Şule Gündüz-Öğüdücü

  2. Computer Engineering Department, Istanbul Technical University, Istanbul, Turkey

    A. Şima Etaner-Uyar

Glossary

ACM (Association for Computing Machinery)

A premier membership organization for computing professionals. Unlike the IEEE, the ACM is solely dedicated to computing.

AKT

A broad ontology, referred to as the AKT Reference Ontology, for describing an academic computer science community. It consists of several sub-ontologies: Support, Portal, etc.

AuthorRank

The PageRank algorithm adopted to rank authors.

Co-authorship networks

An important class of social networks modeling co-author relations to, say, analyze the trends of research collaborations, or determine the status of individual researchers.

Co-authorOnto

An ontology which extends FOAF to support modeling co-authorship networks on the Web.

DBLP

An on-line repository of bibliographic data on major computer science publications well known to its community.

Erdős number

An early example of co-authorship networks, in which a “collaborative distance”, i.e., the smallest number of co-authorship links between any individual author and the mathematician Paul Erdős is calculated.

FOAF (Friend of a Friend)

An RDF schema for machine-readable modeling of homepage-like profiles and social networks.

IEEE (Institute of Electrical and Electronics Engineers)

The world’s largest professional association dedicated to advancing technological innovation and excellence for the benefit of humanity.

Ontology

In computer science, it is a formal representation of knowledge in a given domain of interest through vocabulary definition of that domain: the concepts and their taxonomy, properties, constraints, and relationships among concepts.

OWL (Web Ontology Language)

The standard language to formally define and instantiate ontologies on the Web so that they can be used and understood in that certain domain.

PageRank

An algorithm based on link analysis for ranking. It was initially used for ranking Web pages on the Web by Google, but is also nowadays used to rank authors (AuthorRank), detect spams, and similar. There is a metric named PageRank in social network analysis (SNA) as well, which measures the reputation of an individual in a network following the same rationale as when ranking Web pages.

RDF (Resource Description Framework)

The basic standard for the Semantic Web. It defines the building blocks of the Semantic Web, such as classes and properties, and how they interact to create meaning.

Semantic Web

As opposed to the traditional Web, it represents the Web of data with meaning in such a way that a computer program can understand (make use of) that meaning of the data.

SNA (Social Network Analysis)

An interdisciplinary area of research in social sciences and the information technology. It provides theories and techniques that prove the effects of an individual or a group of individuals belonging to a given network into some outcomes related to that individual or group.

SPARQL (Semantic Protocol and RDF Query Language)

The standard language for querying RDF data.

SQWRL (Semantic Query-Enhanced Web Rule Language)

A SWRL-based language for querying OWL ontologies.

SWRL (Semantic Web Rule Language)

A widely used language to express rules in the Semantic Web.

URI (Uniform Resources Identifiers)

Initially used as a standard format to identify pages on the Web (a string usually starting with http://). Today it serves to identify simply anything of interest, be it physical or conceptual, accessible by augmenting it to the Internet. Semantic Web also uses “http” URIs as identifiers for its resources.

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Ahmedi, L., Halilaj, L., Sejdiu, G., Bajraktari, L. (2014). Ranking Authors on the Web: A Semantic AuthorRank. In: Gündüz-Öğüdücü, Ş., Etaner-Uyar, A. (eds) Social Networks: Analysis and Case Studies. Lecture Notes in Social Networks. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1797-2_2

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  • DOI: https://doi.org/10.1007/978-3-7091-1797-2_2

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  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-1796-5

  • Online ISBN: 978-3-7091-1797-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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