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TEGHUB


Textual Event Graph HUB

About The Project

Increase in the amount of publicly available online data provides a rich resource for information extraction. Especially news web sites and social media posts are most available candidates of such resources. In this project, we aim to work on representations of such online resources in graph structure and to perform information extraction on these graphs. Graph data structure provides means to represent rich and complex relationships between different entities and this makes it possible to extract new and different kind of information.



The main objectives of the project are as follows:

  • Investigating various approaches in order to represent text content in the form of a graph.
  • Extracting the subgraphs that correspond to events using frequent subgraph mining based techniques.
  • Association rule mining based solutions for extracting patterns in the form of relationships among subgraphs.
  • Using the extracted patterns for event prediction, we need to be able to match graphs according to graph similarities.
  • Developing new algorithms according to the needs within the scope of graph based event representation.
  • Constituting an open-source library for graph databases


    • The project team includes researchers from three different universities (METU, Gebze Technical University, Kocaeli University). Each researcher will contribute to the project and the graph database library in a complementary way on the basis of their expertise. Hence we consider the library to be developed to consists of three sub groups of capabilities such that each university will be responsible from one group. Additionally, project team includes a partner from industry, Somera. Somera will be in charge of testing the library by using it within their own problems and processing, and they will provide guidance and suggestions for improvement.

    This work is supported by TUBITAK Ardeb 1003 program with 117E566 project number.

    Publications

  • Çekinel R.F, Ağrıman M., Karagöz P., and Yılmaz B. (2019). NER with CRF on Turkish News Dataset:Revisiting the Features. 27th Signal Processing and Communications Applications Conference (SIU)

    -> Download PDF <-


  • Yükselen M., Mutlu A., and Karagöz P. (2019). Infuencee Oriented Topic Prediction: Investigating the Effect of Influence on the Author. Proceedings of ACM Conference (Conference’19)

    -> Download PDF <-


  • Erdemir M., Göz F., Mutlu A., and Karagöz P. (2019). Comparison of Querying Performance of Neo4j on Graph and Hyper-graph Data Model. Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

    -> Download PDF <-


  • Genç H., and Yılmaz B. (2019). Text-based Event Detection: Deciphering Date Information Using Graph Embeddings. DaWaK 2019: Big Data Analytics and Knowledge Discovery pp 266-278

    -> Download PDF <-


  • Yılmaz B.,Genç H.,Ağrıman M.,Demirdöver B.K.,Erdemir M.,Şimşek G., and Karagöz P. (2019). Recent Trends in the Use of Graph Neural Network Models for Natural Language Processing. IGI Global: Deep Learning Techniques and Optimization Strategies in Big Data Analytics chapter 16


  • Cemek Y.,Cidecio C.,Öztürk A.U.,Çekinel R.F., and Karagöz P. (2020). Investigating the Neural Models for Irony Detection on Turkish Informal Texts. 28th Signal Processing and Communications Applications Conference (SIU)

    -> Download PDF <-


  • Göz F.,Kabasakal O., and Mutlu A. (2020). Experimental Analysis of Keyword-based Social Network Similarity Approach for Document Classification. 28th Signal Processing and Communications Applications Conference (SIU)

    -> Download PDF <-


  • Kılıç Y. P., Dinç D. and Karagöz P., Named Entity Recognition on Morphologically Rich Language: Exploring the Performance of BERT with varying Training Levels, Yüksel, IEEE Big Data 2020 Special Session on Intelligent Data mining 2020


  • Report on Graph Databases (by Mert Erdemir)

    -> Download PDF <-


  • Report on Neo4j Libraries (by Aslı Umay Öztürk)

    -> Download PDF <-

    • Resources

  • Graph Generation Source Code on GitHub

  • CRF based NER Solution on GitHub

  • Irony Detection Dataset & Source Code

  • Turkish NER with BERT Source Code

    • Project Members

    Prof. Dr. Pınar KARAGÖZ

    Professor at METU Computer Engineering Department

    Interest Areas:

  • Workflow Systems
  • Database Management Systems
  • Data Mining
  • Logic Programming

    • Pınar KARAGÖZ

    Main Coordinator

    Asst.Prof. Burcu Yılmaz

    Asst. Professor at Gebze Technical University

    Interest Areas:

  • Data Mining
  • Graph Mining
  • Deep Learning
  • Natural Language Processing

    • BURCU YILMAZ

    Coordinator

    Asst.Prof. Alev MUTLU

    Asst. Professor at Kocaeli University

    Interest Areas:

  • Data Mining
  • Logic Programming

    • ALEV MUTLU

    Coordinator

    Can Eroğul

    Co-founder at SOMERA

    Interest Areas:

  • Social Media Analysis
  • Data Mining

    • Can EROĞUL

    Industrial Partner

    Murat Yükselen

    PhD Student at METU Computer Engineering Department

    Interest Areas:

  • Machine Learning
  • Data Mining
  • Multi-Agent Systems

    • Murat Yükselen

    Researcher

    Gencay Kemal Evirgen

    Developer at SOMERA

    Interest Areas:

  • Data Mining

    • Gencay Kemal Evirgen

    Researcher

    Recep Fırat ÇEKİNEL

    Teaching Assistant at METU Computer Engineering Department

    Interest Areas:

  • Data Mining
  • Machine Learning
  • Big Data

    • Recep Fırat ÇEKİNEL

    MS Student

    Mustafa AĞRIMAN

    Master Student at METU Computer Engineering Department

    Interest Areas:

  • Mobile Application
  • Game Development
  • Data Mining

    • Mustafa AĞRIMAN

    MS Student

    Furkan GÖZ

    Teaching Assistant at Kocaeli University

    Interest Areas:

  • Data Mining

    • Furkan GÖZ

    MS Student

    Cenk Cidecio

    Senior Undergraduate Student at METU Computer Engineering Department

    Interest Areas:

  • Data Science
  • Natural Language Processing
  • Machine Learning

    • Cenk Cidecio

    BSc Student

    Aslı Umay Öztürk

    Senior Undergraduate Student at METU Computer Engineering Department

    Interest Areas:

  • Data Mining
  • Language Processors
  • Logic

    • Aslı Umay Öztürk

    BSc Student

    Yeşim Cemek

    Senior Undergraduate Student at METU Computer Engineering Department

    Interest Areas:

  • Data Mining
  • Computer Vision
  • Deep Learning

    • Yeşim Cemek

    BSc Student

    Osman Kabasakal

    Master Student at Kocaeli University

    Interest Areas:

  • Data Mining

    • Osman Kabasakal

    MS Student

    Siham Amarouche

    Master Student at Kocaeli University

    Interest Areas:

  • Information Security
  • Machine Learning
  • Deep Learning
  • Natural Language Processing

    • Siham Amarouche

    MS Student

    Mustafa Badıllı

    Senior Undergraduate Student at METU Computer Engineering Department

    Interest Areas:

  • Software Engineering

    • Mustafa Badıllı

    BSc Student

    Kemal Baş

    Senior Undergraduate Student at METU Computer Engineering Department

    Interest Areas:

  • Software Engineering
  • Web Development

    • Kemal Baş

    BSc Student

    Muhammed Salih Yılmaz

    Senior Undergraduate Student at METU Computer Engineering Department

    Interest Areas:

  • Artificial Intelligence

    • Muhammed Salih Yılmaz

    BSc Student

    Past Project Members

    Mert ERDEMİR

    Senior Undergraduate Student at METU Computer Engineering Department

    Interest Areas:

  • Graph Theory
  • Data Mining
  • Machine Learning

    • Mert ERDEMİR

    BSc Student

    Ege Çıklabakkal

    Senior Undergraduate Student at METU Computer Engineering Department

    Interest Areas:

  • Computer Graphics
  • Mathematics
  • Machine Learning

    • Ege Çıklabakkal

    BSc Student

    Hilal Genç

    Master Student at Gebze Technical University

    Interest Areas:

  • Data Mining

    • Hilal Genç

    MS Student

    contact

    METU Computer Engineering Department

    Kocaeli University Computer Engineering Department

    Gebze Technical University Instıtude of Information Technologies Department