Behnam Ghavimi

- Developed a control vocabulary management system (Java, Vaadin, Elasticsearch) - Developed an optimized citation matching algorithm - Entity linking and classification (Python, Apache Solr, Elasticsearch), - Reference string extraction - Named-entity recognition (NER) (Java) - Implemented data enrichment and conversion into JSON-LD with OCC Ontology - Supported modules integration into EXCITE pipeline (Flask and Celery), - Supervised 1 programmer, 2 students, - Organized EXCITE 2017 Workshop

- Worked on sowiport.gesis.org and gesis.org/iirpanel portals - Developed and worked with Vufind, PHP, Smarty template engine, JavaScript - Worked on DFG founded OSCOSS project. - Implemented a python application to detect datasets’ references in full texts. (Demo: https://www.youtube.com/watch?v=gAbXYG-IP-w&feature=youtu.be)

- Implemented accounting and warehousing applications - with VB.net, C# - Designed an online shopping website - with ASP.net (VB), Javascript

Thesis: “Identifying and Improving Dataset References in Full Texts” Supervisors: Prof. Dr. Sören Auer, Dr. Philipp Mayr , and Dr. Christoph Lange Master Thesis: 1.5 [Tool_Demo: https://www.youtube.com/watch?v=gAbXYG-IP-w&feature=youtu.be]

Thesis: “A survey on negotiation methods in multi agent systems on a grid network”