Data Scientist is one of the most sought-after jobs of this decade. In order to analyze the job market in this domain, interested institutions have to integrate numerous job advertising coming from heterogeneous Web sources e.g., job portals, company websites, professional community platforms such as StackOver ow, GitHub, etc. In this demo, we show the application of the RDF Molecule-Based Integration Framework MINTE+ in the domain-speci c application of job market analysis. The use of RDF molecules for knowledge representation is a core element of the framework gives MINTE+ enough exibility to integrate job advertising from di erent web resources and countries. Attendees will observe how exploration and analysis of the data science job market in Europe can be facilitated by synthesizing at query time a consolidated knowledge graph of job advertising. The demo is available at: https://github.com/ RDF-Molecules/MINTE/blob/master/README.md#live-demo
According to the latest research, e.g., by PwC1 and LinkedIn2, the demand for data science professionals is still growing pushing data science and machine learning to the rst places of various ratings of top emerging and sought-after jobs. Attempting to cover a broader audience of possible candidates employers disseminate jobs o ers and hiring news at numerous Web sources including corporate websites, public job portals, community forums, social networks, and many more. Those Web sources exhibit a high degree of heterogeneity as there is no one agreed format of publishing job adds and vacancies. Therefore, in order 1 https://www.pwc.com/us/en/library/data-science-and-analytics.html 2 https://economicgraph.linkedin.com/research/LinkedIns-2017-US-Emerging-Jobs-Report
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MINTE+ Framework
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API1
API2
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(MG1,MD1) (MG2,MD2) RDF Molecule (MG3,MD3) Integrator (MGn,MDn)
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to provide a holistic view on the job market and enable market analysis job
descriptions have to be integrated using universal knowledge representation
mechanisms. A exible semantic data model provided by RDF and ontologies solves the
knowledge representation task. Interoperability is tackled by a manifold of data
integration frameworks [
Architecture MINTE+ generates RDF molecules, i.e., a set of RDF triples that share the same subject. A MINTE+ knowledge graph consists of two components, i.e., ontologies and schema de nitions (TBox), and RDF molecules that contain knowledge annotated with those ontologies (ABox). The integration task, therefore, is to achieve an RDF molecule representation for data gathered from heterogeneous data sources; an ontology and con gurable parameters are received as input. Fig. 1 shows the MINTE+ architecture and these three integration steps.
At the RDF Molecules Creation step, wrappers are used to collect data from data sources; a mediator utilizes an ontology O to create RDF molecules, Senior Data ScientistDigital Services Company:BMWGroup Description:BMWGroupJEDEIDEEISTNURSO GUTWIEDER, DERSIE INSZIEL BRINGT.
TeilenSie mitunsIhreLeidenschaftfüreine moderne IT.KomplexeSysteme brauchen. .
Skil s:Python, Tensorflow Date:2016-05-07 Wissenschaftliche/r Mitarbeiter/in amZentrumfür Lern- undWissensmanagement Company:ZentrumfürLernundWissensmanagementderRTWH Aachen Description: -undkulturwissenschaftlichenFragestelungen. Hierbei kommeninsbesondere AlgorithmenausdemBereichdesDataMiningzum Einsatz. Anwendungs. .
Skil s:DataMining, Algorithms Date:2016-05-02 IT-Berater/CloudComputing Company:enteroAG Description:IT-Berater/CloudComputing(m/w) enteroAGEschbornDurchführung anspruchsvolerEntwicklungsprojekte mitWebtechnologienundJava. .
Skil s:Java, WebTechnology Date:2016-05-02 Big DataEngineer (m/w) Company:TelefonicaDeutschland Description:. . jobs, itberufe, Telekommunikation, Specialist, Fachkraft, BigDataEngineer (Smki/lws:)B.ig.Data,Spark See moreresults. .
(a) Exploration
Senior Data Scientist Digital Services @sdo:jobTitle > Senior Data Scientist Digital Services @sdo:description > BMW Group JEDE IDEE IST NUR SO GUT WIE DER, DER SIE INS ZIEL BRINGT. Teilen Sie mit uns Ihre Leidenschaft für eine moderne IT.
Komplexe Systeme brauchen...
@sdo:datePosted > "2016-05-07"^^xsd#date
@sdo:hiringOrganization > "BMW Group”
@saro:source > adzuna, jooble
@saro:requiredSkill > python, tensorflow
Integration log
Threshold > 0.6
Ontology > SARO
Similarity function > GADES
Fusion Policy > Union
(b) RDF Molecule
e.g., SARO [
MINTE+ Con guration: In this demonstration, Adzuna, Indeed, Jooble,
and XING are the sources. Wrappers implemented in Scala create RDF molecules
using the Web APIs provided by each Web source. The SARO ontology [
Demonstration of Use Cases In this demo, MINTE+ integrates publicly available data about job ads. MINTE+ provides neither a monitoring service nor persistent storage, thus avoiding data protection risks by design. MINTE+ serves as a back-end of a faceted browsing user interface as illustrated in Fig. 2 which visual premises will be employed during the demo. We will present the following use cases:
Building RDF molecules from Web sources. Given a keyword query, e.g., a query for some job ad as 'data scientist', we will demonstrate how wrappers 3 https://github.com/RDF-Molecules/MINTE interact with source APIs, and how the RDF molecules are built by the mediator using the SARO ontology. Attendees will be able to add new predicates to the formal job ad description and link them to particular attributes of job postings available at original Web data sources. They will also observe how RDF molecules enable the description of data gathered from heterogeneous sources.
E ects of changing integration parameters on a knowledge graph. The attendees will be able to adjust core integration parameters, e.g., a threshold of a semantic similarity function, number of attached sources, and fusion policy rules, in order to observe how a knowledge graph evolves in the ad-hoc fashion. Fig. 2b illustrates an example of an integrated RDF molecule of the same job ad published on two websites, i.e., Azduna and Jooble, obtained after applying GADES similarity function with 0.6 threshold and the union fusion policy.
Faceted knowledge graph browser. A synthesized knowledge graph of RDF molecules for unique job ads relevant for a given keyword query as presented in Fig. 2a. A graphical user interface with a faceted browser allows attendees to con gure MINTE+ integration parameters, apply lters on gathered predicates and values, and inspect contents of each RDF molecule including its integration log, as well as navigate and explore the knowledge graph. 4
Conclusions The application to job market analysis is just one out of many possible applications of MINTE+. This demo of MINTE+ emphasizes the exibility and advantages of the RDF molecule-based semantic integration approach. Attendees will explore the use-cases and understand the semantic integration mechanisms employed by the framework. More importantly, evidence of the relevance of creating meaningful knowledge graphs from heterogeneous sources will be provided. Acknowledgements: Work supported by the European Commission (project SlideWiki, grant no. 688095) and the German Ministry of Education and Research (BMBF) in the context of the project InDaSpacePlus (grant no. 01IS17031).