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| - | ====== MFE 2016-2017 : Web and Information Systems ====== | + | ====== MFE 2017-2018 : Web and Information Systems ====== |
| ===== Introduction ===== | ===== Introduction ===== | ||
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| <note>Please note that this list of subjects is **not exhaustive. Interested students are invited to propose original subjects.**</note> | <note>Please note that this list of subjects is **not exhaustive. Interested students are invited to propose original subjects.**</note> | ||
| - | {{:teaching:mfe:euranova_thesis_2016.pdf|}} | + | |
| ===== Master Thesis in Collaboration with Euranova ===== | ===== Master Thesis in Collaboration with Euranova ===== | ||
| - | Our laboratory performs collaborative research with Euranova R&D (http://euranova.eu/). The list of subjects proposed for this year by Euranova can be found {{:teaching:mfe:euranova_thesis_2016.pdf|here}} | + | Our laboratory performs collaborative research with Euranova R&D (http://euranova.eu/). The list of subjects proposed for this year by Euranova can be found {{:teaching:mfe:euranova_masterthesis_2017.pdf|here}}. |
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| **Status**: available | **Status**: available | ||
| - | ===== A Scala-based runtime and compiler for Distributed Datalog ===== | ||
| - | Datalog is a fundamental query language in datamanagement based on logic programming. It essentially extends select-from-where SQL queries with recursion. There is a recent trend in data management research to use datalog to specify distributed applications, most notably on the web, as well as do inference on the semantic web. The goal of this thesis is to engineer a basic **distributed datalog system**, i.e., a system that is capable of compiling & running distributed datalog queries. The system should be implemented in the Scala programming language. Learning Scala is part of the master thesis project. | + | =====Sentiment Analysis===== |
| - | The system should: | ||
| - | * incorporate recently proposed worst-case join algorithms (i.e., the [[http://arxiv.org/abs/1210.0481|leapfrog trie join]]) | ||
| - | * employ known local datalog optimizations (such as magic sets and QSQ) | ||
| - | **Validation of the approach** The thesis should propose a benchmark collection of datalog queries and associated data workloads that be used to test the obtained system, and measure key performance characteristics (elasticity of the system; memory frootprint; overall running time, ...) | + | The sentiment analysis task aims to detect subjective information polarity in the target text by applying Natural Language Processing (NLP), text analysis and computational linguistics techniques. With the emergence of web 2.0, it becomes easy for Internet users to post their opinionated comments and share their thoughts via social networks, forums and especially Twitter. With more resources and NLP tools becoming available and with the recent developed sentiment lexicons, sentiment analysis is having more attention from the research community. Nevertheless, Named Entities (NEs) effectiveness was not studied even though it is easily noticeable that social resources include many NEs. In ongoing research, we aim to investigate the effectiveness of Named Entities (person, location and organization entities) on sentiment analysis and dive beyond the Named Entities recognition to propose a framework of Named Entities polarity classification and process an empirical evaluation on their effectiveness on Sentiment classification. |
| - | **Required reading**: | + | In this master thesis project, the student will empirically validate on real-world datasets the effectiveness of Named Entities (person, location and organization entities) on sentiment analysis and run experiments on different languages (French, Dutch, English and German). |
| - | * Datalog and Recursive Query Processing - Foundations and trends in query processing. | + | |
| - | * LogicBlox, Platform and Language: A Tutorial (Todd J. Green, Molham Aref, and Grigoris Karvounarakis) | + | |
| - | * Dedalus: Datalog in Time and Space (Peter Alvaro, William R. Marczak, Neil Conway, Joseph M. Hellerstein, David Maier, and Russell Sears) | + | |
| - | * Declarative Networking (Loo et al). For the distributed evaluation strategy. | + | |
| - | * Parallel processing of recursive queries in distributed architectures (VLDB 1989) | + | |
| - | * Evaluating recursive queries in distributed databases (IEEE trans knowledge and data engieneering, 1993) | + | |
| - | **Deliverables**: | + | **Interested?** Contact : [[haddad.hatem@gmail.com|Hatem Haddad]] |
| - | * Semantics of datalog; overview of known optimization strategies (document) | + | |
| - | * Description of the leapfrog trie join (document) | + | |
| - | * Datalog system (software artifact) | + | |
| - | * Experimental analysis of developped system on a number of use cases (document) | + | |
| - | + | ||
| - | **Interested?** | + | |
| - | * Contact : [[stijn.vansummeren@ulb.ac.be|Stijn Vansummeren]] | + | |
| **Status**: available | **Status**: available | ||
| - | |||
| - | ===== Développement d’un système de gestion de l’information pour un réseau de dépistage et de suivi des lésions précancéreuses et cancéreuses du col de l’utérus dans la Région de Cochabamba en Bolivie ===== | ||
| - | |||
| - | Full description available here:{{:teaching:mfe:mfe_u_bio-mechatronics_codepo_01.docx|}} | ||
| - | |||
| - | **Interested?** | ||
| - | * Contact : * Contact : [[stijn.vansummeren@ulb.ac.be|Stijn Vansummeren]] | ||
| - | |||
| - | **Status**: available | ||
| - | |||
| - | |||
| =====Publishing and Using Spatio-temporal Data on the Semantic Web===== | =====Publishing and Using Spatio-temporal Data on the Semantic Web===== | ||