Social Semantic Web Paper Summaries 3: SocIoS: A Social Media Application Ontology by Konstantinos Tserpes


In 2018, I have taken a master’s course from Bogazici University, called Social Semantic Web (CMPE 58H), teached by Suzan Üsküdarlı. (

I have wrote summaries for a few papers there. Today, I have decided to share them with you. This is both to share my understanding on these papers and to show my approach on how to read papers. Summary of the third paper is below.


2018 yılında Boğaziçi Üniversitesinde Sosyal Semantik Web (CMPE 58H) diye bir ders almıştım, Suzan Üsküdarlı hocamız dersi veriyordu.(

O derste birkaç makale özeti yazdım. Şimdi, o özetleri paylaşmaya karar verdim. Bunu, hem bu makalelere bakış açımı yansıtsın, ilgililer varsa okusun diye yapıyorum, hem de kendi makale okuyuş yöntemimi paylaşmak için yapıyorum. Üçüncü makalenin özeti aşağıda.

Title: SocIoS, A Social Media Application Ontology

Citation: Konstantinos Tserpes

An image from the paper.

About Authors:

All information I could find on authors was their universities.

Konstantinos Tserpes: Assistant Professor at Department of Informatics and Telematics, Harokopio University of Athens.

George Papadakis: Department of Informatics and Telecommunications, University of Athens


Authors suggest an ontology to open roads between Social Networking Sites that are “closed” by their nature. This is via integration of APIs, and that is possible with an ontology, allegedly.



Internet users generate valuable content that is reachable via GUI or APIs of SNSs. Competitive nature of SNSs interfere with the aggregation of the social functionality and data.

Solution is developing an SNS-like API.

There are two important points when creating this kind of API:

  • An object model that is able to capture the intersecting values between SNSs. (examples: GNIP, hootsuite, Stroodle, OpenSocial)
  • Flexibility to adapt new SNSs. (suggestions to provide this functionality: WSMO , SA-REST)

SocIoS uses OWL to provide flexibility and comprehensiveness.

2-Related Work

  • GNIP, hootsuite and Stroodle provide solutions as a private property of their respective companies.
  • Open Social is a referance for SocIos. However Open Social is not used as a meta-API or aggregator.

Mentioned Ontologies:

  • FOAF: Person representing ontology. Not a practical-enough ontology to unite SNSs. Includes vague concepts in itself.
  • SIOC: Information enviroment representing ontology.(messages, boards, wikis etc.) This ontology is bounded with forum formats.
  • LODE: Event mapping ontology. Is limited with SNS events. SocIos aims to represent also complicated real-life events.

3-Application Domain Concepts

Three applications are considered to be united. One is related to journalism. Others can be found at:

European Socioproject

Unifying Concepts of the three applications:

  • Users
  • Activity
  • Groups
  • Reliability
  • Multimedia Items
  • Event
  • Location
  • Message

4-SNSs API Analysis

Platforms OpenSocial, Facebook, Twitter, FlickR and Youtube are considered in terms of their use of previously mentioned SNS concepts. (Users, Activity, Groups …)

After that, authors assert the simplified form of SocIos ontology:

5-SocIos Core Ontology

Stands on the concepts’ properties and relations. (Person, Media Items, Activity, Events, Messages, Rating, Group, SNS)


Article summarizes the steps to create SocIos domain, which is a middle step to create SocIos API.


Authors simply summarize the steps to form the ontology of SocIos. They also mention related work and explain the relations between classes in detail.

Author’s conclusions:

“Article summarizes the steps to create SocIos domain, which is a middle step to create SocIoS API.”

Your conclusions

As compared to the other articles we read, I think the contribution of this article to SSW community is unit. It is unit in the sense that it does not cover a broad subject as the other articles.

However the main problem is SocIoS ontology being not decently improved. Therefore I doubt the SocIoS ontology is to be considered as a remarkable contribution.


The information provided in this article is spare. It touches upon a good topic, however, more detail and effort should have been provided.


NLP Engineer at PragmaCraft. Former Researcher at Bogazici University Medical Imaging Lab. twitter:ahmetmeleq ///