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Data Engineering
The main topics are: (i) Graph data models and semantics: RDF, OWL, SPARQL, and others; (iii) System and Data Integration: Data in service-oriented architectures, schema-based integration, data fusion, web data mashup services, data identity management, Data Web, Linked Data, RDFa, Data Analytics, Language Engineering, and Modern search engines. Course Outline |
Data Analytics
(Slides)
Data Classification
(Slides)
Regression
(Slides)
Synthesis Paper
Each student is expected to write a synthesis paper and deliver a presentation about one of the listed topics. The paper should address a data engineering issue. Students are expected to read and cite (at least 5 refereed papers) to support their viewpoints. Citing websites and Wikis is allowed but should be limited; the extreme majority of the references should be recent research papers. Again, the paper should NOT be a summary of others’ papers, but rather, it should also represent your (own) opinion -and your opinion should reflect the state-of-art in research and possible applications related to the selected topic. The highest mark will be given to students who (i) cite the most important research and applications related to the topic, (ii) give better criticism and comparison on these paper, and present innovative ideas and solutions, and (iii) his/her English and writing style is perfect. The paper should be written in this template:
SynthesisPaper_Template.doc
Students are expected to give a seminar presentation in the class (10 minutes only) about their paper.
Deadlines:
20/4/2019 First draft of the presentations should be delivered in PowerPoint format – so to get general comments.
1/5/2019 First draft of the Synthesis Paper will be presented in the class – so to get general comments.
15/5/2019 Final PowerPoint Presentation: Each student will be given 10 minutes only to present her/his topic in the class.
1/6/2019 Final Synthesis Paper in PDF format.
Proposed Topics:
- Big Data and Hadoop, HDFS, MapReduce
- Spark framework
- No-SQL databases
- Data integration complexities at Palestinian ministries
- Health data integration
- Linguistic data integration
- GIS databases and queries
- Data streaming
- Query Formulation for Graph Data
- Structured Data for Search Engine Optimization
- Knowledge Graphs (DBPedia, Arabic DBPedia, Yago, etc.)
- Entity resolution
- Software Localization and Arabization