Dr. Hajira Jabeen

Senior Researcher
Computer Science Institute
University of Bonn

Profiles: LinkedIn, Google Scholar, DBLP

Room 1.066
Endenicher Allee 19a, 53117 Bonn
University of Bonn, Computer Science
jabeen@iai.uni-bonn.de

Short CV

Dr. Hajira Jabeen is a Senior Researcher at the University of Bonn. She received her PhD degree in computer Science from National University of Computing and Emerging Sciences, Islamabad, Pakistan.
Her research interests includes Big Data Artificial Intelligence, Evolutionary Computation, Semantic Web, Data Mining and Machine Learning.

Research Interests

Big Data
Data Mining and Data Analysis
Semantic Web
Machine Learning

Publications

2021

Draschner, Carsten Felix; Lehmann, Jens; Jabeen, Hajira

DistSim - Scalable Distributed in-Memory Semantic Similarity Estimation for RDF Knowledge Graphs Inproceedings

In: 15th IEEE International Conference on Semantic Computing, ICSC 2021, Laguna Hills, CA, USA, January 27-29, 2021, pp. 333–336, IEEE, 2021.

Maqbool, Fahad; Razzaq, Saad; Yar, Asif; Jabeen, Hajira

Large Scale Distributed Optimization using Apache Spark: Distributed Scalable Shade-Bat (DistSSB) Inproceedings

In: IEEE Congress on Evolutionary Computation, CEC 2021, Kraków, Poland, June 28 - July 1, 2021, pp. 2559–2566, IEEE, 2021.

2020

Jabeen, Hajira; Haziiev, Eskender; Sejdiu, Gezim; Lehmann, Jens

DISE: A Distributed in-Memory SPARQL Processing Engine over Tensor Data Inproceedings

In: IEEE 14th International Conference on Semantic Computing, ICSC 2020, San Diego, CA, USA, February 3-5, 2020, pp. 400–407, IEEE, 2020.

Musyaffa, Fathoni A.; Vidal, Maria-Esther; Orlandi, Fabrizio; Lehmann, Jens; Jabeen, Hajira

IOTA: Interlinking of heterogeneous multilingual open fiscal DaTA Journal Article

In: Expert Syst. Appl., 147 , pp. 113135, 2020.

Jabeen, Hajira

Big Data Outlook, Tools, and Architectures Incollection

In: Knowledge Graphs and Big Data Processing, 12072 , pp. 35–55, Springer, 2020.

Jabeen, Hajira; Graux, Damien; Sejdiu, Gezim

Scalable Knowledge Graph Processing Using SANSA Incollection

In: Knowledge Graphs and Big Data Processing, 12072 , pp. 105–121, Springer, 2020.

Jabeen, Hajira; Weinz, Jonas; Lehmann, Jens

AutoChef: Automated Generation of Cooking Recipes Inproceedings

In: IEEE Congress on Evolutionary Computation, CEC 2020, Glasgow, United Kingdom, July 19-24, 2020, pp. 1–7, IEEE, 2020.

Musyaffa, Fathoni A.; Lehmann, Jens; Jabeen, Hajira

Cross-administration comparative analysis of open fiscal data Inproceedings

In: ICEGOV 2020: 13th International Conference on Theory and Practice of Electronic Governance, Athens, Greece, 23-25 September, 2020, pp. 459–468, ACM, 2020.

Mohamed, Heba; Fathalla, Said; Lehmann, Jens; Jabeen, Hajira

A Distributed Approach for Parsing Large-scale OWL Datasets Inproceedings

In: Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2020, Volume 2: KEOD, Budapest, Hungary, November 2-4, 2020, pp. 227–234, SCITEPRESS, 2020.

Alam, Mirza Mohtashim; Jabeen, Hajira; Ali, Mehdi; Mohiuddin, Karishma; Lehmann, Jens

Affinity Dependent Negative Sampling for Knowledge Graph Embeddings Inproceedings

In: Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020) co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020), Heraklion, Greece, June 02, 2020 - moved online, CEUR-WS.org, 2020.

Ibrahim, Shimaa; Fathalla, Said; Lehmann, Jens; Jabeen, Hajira

Multilingual Ontology Merging Using Cross-lingual Matching Inproceedings

In: IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI/IAT 2020, Melbourne, Australia, December 14-17, 2020, pp. 113–120, IEEE, 2020.

Mohamed, Heba; Fathalla, Said; Lehmann, Jens; Jabeen, Hajira

OWLStats: Distributed Computation of OWL Dataset Statistics Inproceedings

In: IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI/IAT 2020, Melbourne, Australia, December 14-17, 2020, pp. 381–386, IEEE, 2020.

2019

Dadwal, Rajjat; Graux, Damien; Sejdiu, Gezim; Jabeen, Hajira; Lehmann, Jens

Clustering Pipelines of large RDF POI Data Inproceedings

In: Proceedings of 16th Extended Semantic Web Conference (ESWC 2019), Poster & Demos, 2019.

Sejdiu, Gezim; Rula, Anisa; Lehmann, Jens; Jabeen, Hajira

A Scalable Framework for Quality Assessment of RDF Datasets Inproceedings

In: Proceedings of 18th International Semantic Web Conference, 2019.

Sejdiu, Gezim; Graux, Damien; Khan, Imran; Lytra, Ioanna; Jabeen, Hajira; Lehmann, Jens

Towards a Scalable Semantic-Based Distributed Approach for SPARQL Query Evaluation Inproceedings

In: Semantic Systems. The Power of AI and Knowledge Graphs - 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9-12, 2019, Proceedings, pp. 295–309, Springer, 2019.

Ibrahim, Shimaa; Fathalla, Said; Yazdi, Hamed Shariat; Lehmann, Jens; Jabeen, Hajira

OECM: A Cross-Lingual Approach for Ontology Enrichment Inproceedings

In: The Semantic Web: ESWC 2019 Satellite Events - ESWC 2019 Satellite Events, Portorov z, Slovenia, June 2-6, 2019, Revised Selected Papers, pp. 100–104, Springer, 2019.

Jabeen, Hajira; Tahara, Nargis; Lehmann, Jens

EvoChef: Show Me What to Cook! Artificial Evolution of Culinary Arts Inproceedings

In: Computational Intelligence in Music, Sound, Art and Design - 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24-26, 2019, Proceedings, pp. 156–172, Springer, 2019.

Ibrahim, Shimaa; Fathalla, Said; Yazdi, Hamed Shariat; Lehmann, Jens; Jabeen, Hajira

From Monolingual to Multilingual Ontologies: The Role of Cross-Lingual Ontology Enrichment Inproceedings

In: Semantic Systems. The Power of AI and Knowledge Graphs - 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9-12, 2019, Proceedings, pp. 215–230, Springer, 2019.

Maqbool, Fahad; Razzaq, Saad; Lehmann, Jens; Jabeen, Hajira

Scalable Distributed Genetic Algorithm Using Apache Spark (S-GA) Inproceedings

In: Intelligent Computing Theories and Application - 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part I, pp. 424–435, Springer, 2019.

Mami, Mohamed Nadjib; Graux, Damien; Scerri, Simon; Jabeen, Hajira; Auer, Sören; Lehmann, Jens

Uniform Access to Multiform Data Lakes using Semantic Technologies Inproceedings

In: Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, iiWAS 2019, Munich, Germany, December 2-4, 2019, pp. 313–322, ACM, 2019.

Mami, Mohamed Nadjib; Graux, Damien; Scerri, Simon; Jabeen, Hajira; Auer, Sören; Lehmann, Jens

How to Feed the Squerall with RDF and Other Data Nuts? Inproceedings

In: Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 26-30, 2019, pp. 293–296, CEUR-WS.org, 2019.

Mami, Mohamed Nadjib; Graux, Damien; Scerri, Simon; Jabeen, Hajira; Auer, Sören; Lehmann, Jens

Squerall: Virtual Ontology-Based Access to Heterogeneous and Large Data Sources Inproceedings

In: The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings, Part II, pp. 229–245, Springer, 2019.

Mami, Mohamed Nadjib; Graux, Damien; Scerri, Simon; Jabeen, Hajira; Auer, Sören

Querying Data Lakes using Spark and Presto Inproceedings

In: The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019, pp. 3574–3578, ACM, 2019.

Ali, Mehdi; Hoyt, Charles Tapley; Domingo-Fernández, Daniel; Lehmann, Jens; Jabeen, Hajira

BioKEEN: a library for learning and evaluating biological knowledge graph embeddings Journal Article

In: Bioinform., 35 (18), pp. 3538–3540, 2019.

Westphal, Patrick; Bühmann, Lorenz; Bin, Simon; Jabeen, Hajira; Lehmann, Jens

SML-Bench - A benchmarking framework for structured machine learning Journal Article

In: Semantic Web, 10 (2), pp. 231–245, 2019.

Ali, Mehdi; Jabeen, Hajira; Hoyt, Charles Tapley; Lehmann, Jens

The KEEN Universe - An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability Inproceedings

In: The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings, Part II, pp. 3–18, Springer, 2019.

2018

Jabeen, Hajira; Dadwal, Rajjat; Sejdiu, Gezim; Lehmann, Jens

Divided We Stand Out! Forging Cohorts fOr Numeric Outlier Detection in Large Scale Knowledge Graphs (CONOD) Inproceedings

In: Knowledge Engineering and Knowledge Management - 21st International Conference, EKAW 2018, Nancy, France, November 12-16, 2018, Proceedings, pp. 534–548, Springer, 2018.

Graux, Damien; Sejdiu, Gezim; Jabeen, Hajira; Lehmann, Jens; Sui, Danning; Muhs, Dominik; Pfeffer, Johannes

Profiting from Kitties on Ethereum: Leveraging Blockchain RDF with SANSA Inproceedings

In: Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018), Vienna, Austria, September 10-13, 2018, CEUR-WS.org, 2018.

Musyaffa, Fathoni A.; Orlandi, Fabrizio; Jabeen, Hajira; Vidal, Maria-Esther

Classifying Data Heterogeneity within Budget and Spending Open Data Inproceedings

In: Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2018, Galway, Ireland, April 04-06, 2018, pp. 81–90, ACM, 2018.

Musyaffa, Fathoni A.; Halilaj, Lavdim; Li, Yakun; Orlandi, Fabrizio; Jabeen, Hajira; Auer, Sören; Vidal, Maria-Esther

OpenBudgets.eu: A Platform for Semantically Representing and Analyzing Open Fiscal Data Inproceedings

In: Web Engineering - 18th International Conference, ICWE 2018, Cáceres, Spain, June 5-8, 2018, Proceedings, pp. 433–447, Springer, 2018.

2017

Ermilov, Ivan; Ngomo, Axel-Cyrille Ngonga; Versteden, Aad; Jabeen, Hajira; Sejdiu, Gezim; Argyriou, Giorgos; Selmi, Luigi; Jakobitsch, Jürgen; Lehmann, Jens

Managing Lifecycle of Big Data Applications Inproceedings

In: Knowledge Engineering and Semantic Web - 8th International Conference, KESW 2017, Szczecin, Poland, November 8-10, 2017, Proceedings, pp. 263–276, Springer, 2017.

Ermilov, Ivan; Lehmann, Jens; Sejdiu, Gezim; Bühmann, Lorenz; Westphal, Patrick; Stadler, Claus; Bin, Simon; Chakraborty, Nilesh; Petzka, Henning; Saleem, Muhammad; Ngomo, Axel-Cyrille Ngonga; Jabeen, Hajira

The Tale of Sansa Spark Inproceedings

In: Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to - 25th, 2017, CEUR-WS.org, 2017.

Lehmann, Jens; Sejdiu, Gezim; Bühmann, Lorenz; Westphal, Patrick; Stadler, Claus; Ermilov, Ivan; Bin, Simon; Chakraborty, Nilesh; Saleem, Muhammad; Ngomo, Axel-Cyrille Ngonga; Jabeen, Hajira

Distributed Semantic Analytics Using the SANSA Stack Inproceedings

In: The Semantic Web - ISWC 2017 - 16th International Semantic Web Conference, Vienna, Austria, October 21-25, 2017, Proceedings, Part II, pp. 147–155, Springer, 2017.

Abstract | Links | BibTeX

@inproceedings{DBLP:conf/semweb/LehmannSBWSEBCS17,

title = {Distributed Semantic Analytics Using the SANSA Stack},

author = {Jens Lehmann and 

Gezim Sejdiu and 

Lorenz Bühmann and 

Patrick Westphal and 

Claus Stadler and 

Ivan Ermilov and 

Simon Bin and 

Nilesh Chakraborty and 

Muhammad Saleem and 

Axel-Cyrille Ngonga Ngomo and 

Hajira Jabeen},

url = {http://svn.aksw.org/papers/2017/ISWC_SANSA_SoftwareFramework/public.pdf},

doi = {10.1007/978-3-319-68204-4_15},

year  = {2017},

date = {2017-01-01},

booktitle = {The Semantic Web - ISWC 2017 - 16th International Semantic Web Conference, 

Vienna, Austria, October 21-25, 2017, Proceedings, Part II},

volume = {10588},

pages = {147--155},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

abstract = {Over the past decade, vast amounts of machine-readable structured information have become available through the automation of research processes as well as the increasing popularity of knowledge graphs and semantic technologies. A major research challenge today is to perform scalable analysis of large-scale knowledge graphs to facilitate applications like link prediction, knowledge base completion and question answering. Most analytics approaches, which scale horizontally (i.e., can be executed in a distributed environment) work on simple feature-vector-based input rather than more expressive knowledge structures. On the other hand, analytics methods which exploit expressive structures usually do not scale well to very large knowledge bases. This software framework paper describes the ongoing project Semantic Analytics Stack (SANSA) which supports expressive and scalable semantic analytics by providing functionality for distributed in-memory computing for RDF data. The library provides APIs for RDF storage, querying using SPARQL and forward chaining inference. It includes several machine learning algorithms for RDF knowledge graphs. The article describes the vision, architecture and use cases of SANSA.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

Jabeen, Hajira; Archer, Phil; Scerri, Simon; Versteden, Aad; Ermilov, Ivan; Mouchakis, Giannis; Lehmann, Jens; Auer, Sören

Big Data Europe Inproceedings

In: Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), Venice, Italy, March 21-24, 2017, CEUR-WS.org, 2017.

Auer, Sören; Scerri, Simon; Versteden, Aad; Pauwels, Erika; Charalambidis, Angelos; Konstantopoulos, Stasinos; Lehmann, Jens; Jabeen, Hajira; Ermilov, Ivan; Sejdiu, Gezim; Ikonomopoulos, Andreas; Andronopoulos, Spyros; Vlachogiannis, Mandy; Pappas, Charalambos; Davettas, Athanasios; Klampanos, Iraklis A.; Grigoropoulos, Efstathios; Karkaletsis, Vangelis; de Boer, Victor; Siebes, Ronald; Mami, Mohamed Nadjib; Albani, Sergio; Lazzarini, Michele; Nunes, Paulo; Angiuli, Emanuele; Pittaras, Nikiforos; Giannakopoulos, George; Argyriou, Giorgos; Stamoulis, George; Papadakis, George; Koubarakis, Manolis; Karampiperis, Pythagoras; Ngomo, Axel-Cyrille Ngonga; Vidal, Maria-Esther

The BigDataEurope Platform - Supporting the Variety Dimension of Big Data Inproceedings

In: Web Engineering - 17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings, pp. 41–59, Springer, 2017.

Abstract | Links | BibTeX

@inproceedings{DBLP:conf/icwe/AuerSVPCKLJESIA17,

title = {The BigDataEurope Platform - Supporting the Variety Dimension of Big Data},

author = {Sören Auer and 

Simon Scerri and 

Aad Versteden and 

Erika Pauwels and 

Angelos Charalambidis and 

Stasinos Konstantopoulos and 

Jens Lehmann and 

Hajira Jabeen and 

Ivan Ermilov and 

Gezim Sejdiu and 

Andreas Ikonomopoulos and 

Spyros Andronopoulos and 

Mandy Vlachogiannis and 

Charalambos Pappas and 

Athanasios Davettas and 

Iraklis A. Klampanos and 

Efstathios Grigoropoulos and 

Vangelis Karkaletsis and 

Victor de Boer and 

Ronald Siebes and 

Mohamed Nadjib Mami and 

Sergio Albani and 

Michele Lazzarini and 

Paulo Nunes and 

Emanuele Angiuli and 

Nikiforos Pittaras and 

George Giannakopoulos and 

Giorgos Argyriou and 

George Stamoulis and 

George Papadakis and 

Manolis Koubarakis and 

Pythagoras Karampiperis and 

Axel-Cyrille Ngonga Ngomo and 

Maria-Esther Vidal},

url = {http://jens-lehmann.org/files/2017/icwe_bde.pdf},

doi = {10.1007/978-3-319-60131-1_3},

year  = {2017},

date = {2017-01-01},

booktitle = {Web Engineering - 17th International Conference, ICWE 2017, Rome, 

Italy, June 5-8, 2017, Proceedings},

volume = {10360},

pages = {41--59},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

abstract = {The management and analysis of large-scale datasets -- described with the term Big Data -- involves the three classic dimensions volume, velocity and variety. While the former two are well supported by a plethora of software components, the variety dimension is still rather neglected. We present the BDE platform -- an easy-to-deploy, easy-to-use and adaptable (cluster-based and standalone) platform for the execution of big data components and tools like Hadoop, Spark, Flink. The BDE platform was designed based upon the requirements gathered from the seven societal challenges put forward by the European Commission in the Horizon 2020 programme and targeted by the BigDataEurope pilots. As a result, the BDE platform allows to perform a variety of Big Data flow tasks like message passing (Kafka, Flume), storage (Hive, Cassandra) or publishing (GeoTriples). In order to facilitate the processing of heterogeneous data, a particular innovation of the platform is the semantic layer, which allows to directly process RDF data and to map and transform arbitrary data into RDF.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

2013

Jabeen, Hajira; Baig, Abdul Rauf

Two-stage learning for multi-class classification using genetic programming Journal Article

In: Neurocomputing, 116 , pp. 311–316, 2013.

2012

Jabeen, Hajira; Baig, Abdul Rauf

Two layered Genetic Programming for mixed-attribute data classification Journal Article

In: Appl. Soft Comput., 12 (1), pp. 416–422, 2012.

2011

Jabeen, Hajira; Baig, Abdul Rauf

Lazy Learning for Multi-class Classification Using Genetic Programming Inproceedings

In: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence - 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011, Revised Selected Papers, pp. 177–182, Springer, 2011.

Jabeen, Hajira; Baig, Abdul Rauf

DepthLimited crossover in GP for classifier evolution Journal Article

In: Comput. Hum. Behav., 27 (5), pp. 1475–1481, 2011.

2010

Jabeen, Hajira; Baig, Abdul Rauf

A Framework for Optimization of Genetic Programming Evolved Classifier Expressions Using Particle Swarm Optimization Inproceedings

In: Hybrid Artificial Intelligence Systems, 5th International Conference, HAIS 2010, San Sebastián, Spain, June 23-25, 2010. Proceedings, Part I, pp. 56–63, Springer, 2010.

Jabeen, Hajira; Baig, Abdul Rauf

CLONAL-GP Framework for Artificial Immune System Inspired Genetic Programming for Classification Inproceedings

In: Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Cardiff, UK, September 8-10, 2010, Proceedings, Part I, pp. 61–68, Springer, 2010.

Jabeen, Hajira; Baig, Abdul Rauf

Particle Swarm Optimization Based Tuning of Genetic Programming Evolved Classifier Expressions Inproceedings

In: Nature Inspired Cooperative Strategies for Optimization, NICSO 2010, May 12-14, 2010, Granada, Spain, pp. 385–397, Springer, 2010.

2009

Jabeen, Hajira; Jalil, Zunera; Baig, Abdul Rauf

Opposition based initialization in particle swarm optimization (O-PSO) Inproceedings

In: Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009, Companion Material, pp. 2047–2052, ACM, 2009.