Crowdsourcing Landscape

A Semantic Web Vocabulary for Describing Enterprise Crowdsourcing Activities

Currently, I am working towards a semantic web vocabulary for capturing, storing, and sharing enterprise crowdsourcing data. The main purpose of the vocabulary is to offer a mechanism to embed structured crowdsourcing data into a webpage along with other existing displaying information. Crowdsourcing intermediaries and other business applications can then extract, combine, and filter the machine-readable crowdsourcing data and use it for further processing. Adding semantics about a crowdsourcing activity to a webpage and not relying on displaying information only can increase the visibility of crowdsourcing tasks for potential contributors both inside and outside the company.

What are the main objectives that guide the development of this vocabulary?

  1. to provide a controlled vocabulary of concepts and relationships that crowdsourcing users, software developers and architects as well as decision makers commonly understand
  2. to enable semantic and intelligent search, navigation as well as browsing support for crowdsourcing tasks
  3. to facilitate interoperability that is not only guaranteed by the controlled vocabulary itself but also by specifying the equivalence to concepts and properties of other semantic web standards, such as FOAF, GoodRelations, or Dublin Core
  4. to check consistency and to support the verification and validation of crowdsourcing data (e.g., to check data types and value ranges of data properties)
  5. to provide a foundation and a support for the configuration of crowdsourcing tasks (e.g., requesters can share and reuse well established task specifications of a particular type of crowdsourcing activity)

To reach the goal, I want to set some general conditions that seems to be reasonable for developing a practically useful semantic web vocabulary:

  1. The vocabulary should be compatible with existing W3C standards and recommendations, such as RDF and OWL.
  2. The vocabulary should be independent from different syntax, e.g., Microdata, RDFa, Turtle.
  3. The vocabulary should include concepts and relations that can not only be processed by machines but are also human-readable, lightweight and simple to use.
  4. The vocabulary should be made public available and royalty-free to increase the dissemination.

My Proposal for a Semantic Metadata Schema to Support Enterprise Crowdsourcing

Crowdsourcing becomes more and more important in various application areas. Lately my home city of Dresden leveraged the collective intelligence and workforce to support the disaster relief for the victims of the flood. All rescue workers and citizens of Dresden were asked to create a flood map of the Elbe river. Unfortunately I could not support these efforts as I was attending the European Conference on Information Systems (ECIS) in Utrecht last week. I was happy that I got the chance to present my own paper that argues for the development of a semantic metadata scheme to support enterprise crowdsourcing activities. The feedback was helpful and gave me further starting points to improve my schema.

Vorstellung des KRC-Wissensmanagement-Ordnungsrahmens auf der ProWM2013 in Passau

Letzte Woche hatte ich die Gelegenheit gemeinsam mit zwei Mitgliedern des Knowledge Research Centers (KRC) e. V. auf der 7. Konferenz Professionelles Wissensmanagement (ProWM) in Passau, den von uns entwickelten Wissensmanagement-Ordnungsrahmen zur Verbesserung der fachinternen Kommunikation vorstellen zu dürfen. Wir alle waren gespannt, wie das Feedback von den Praktikern und Forschern der Wissensmanagement-Community ausfallen wird. Für alle diejenigen, die mehr dazu erfahren wollen, habe ich auf dem KRC-Blog einen ausführlichen Bericht zu den Inhalten der Tagung selbst, aber auch zu den Hinweisen und Meinungen zum Ordnungsrahmen geschrieben. Gern freuen wir uns auf Eure Kommentare zum Ordnungsrahmen auf unserer Diskussionsseite. Übrigens, die nächste ProWM findet 2015 in Dresden statt. Wir freuen uns sehr darauf!

Components and Functions of Crowdsourcing Systems – A Systematic Literature Review

It was a pleasure for me to present my paper with the topic “Components and Functions of Crowdsourcing Systems – A Systematic Literature Review” at 11th International Conference on Wirtschaftsinformatik (WI2013) in Leipzig. The relevant literature that I found in my systematic literature review (SLR) as well as the derived concept map of crowdsourcing components and functions can be found in an additional document. If you have comments to my article or presentation at the WI2013 please let me know.