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Hany Azzam

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2010 – 2019

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2013
[c8]
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  - conf/lwa/RoellekeABML13
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Thomas Roelleke, Hany Azzam, Marco Bonzanini, Miguel Martinez-Alvarez, Mounia Lalmas:
The D2Q2 Framework: On the Relationship and Combination of Language Modelling and TF-IDF. LWA 2013: 33-40
2012
[c7]
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  - conf/sigmod/AzzamYBR12
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Hany Azzam, Sirvan Yahyaei, Marco Bonzanini, Thomas Roelleke:
A schema-driven approach for knowledge-oriented retrieval and query formulation. KEYS 2012: 39-46
2011
[b1]
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  - phd/ethos/Azzam11
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Hany Azzam:
Modelling semantic search : the evolution of knowledge modelling, retrieval models and query processing. Queen Mary University of London, UK, 2011
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Hany Azzam, Thomas Roelleke, Sirvan Yahyaei:
Ranking-based processing of SQL queries. CIKM 2011: 231-236
[c5]
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  - conf/ictir/AzzamR11
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Hany Azzam, Thomas Roelleke:
A Generic Data Model for Schema-Driven Design in Information Retrieval Applications. ICTIR 2011: 323-326
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Hany Azzam, Iraklis A. Klampanos, Thomas Roelleke:
Large-Scale Logical Retrieval: Technology for Semantic Modelling of Patent Search. Current Challenges in Patent Information Retrieval 2011: 181-195
2010
[c4]
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Hany Azzam, Thomas Roelleke:
SQR: a semantic query rating scheme. ESAIR 2010: 21-22
[c3]
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  - conf/irfc/KlampanosWRA10
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Iraklis A. Klampanos, Hengzhi Wu, Thomas Roelleke, Hany Azzam:
Logic-Based Retrieval: Technology for Content-Oriented and Analytical Querying of Patent Data. IRFC 2010: 100-119
[c2]
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  - electronic edition @ uni-kassel.de (open access)
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Hany Azzam, Thomas Roelleke:
An Attribute-based Model for Semantic Retrieval. LWA 2010: 175-182

2000 – 2009

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2009
[c1]
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Iraklis A. Klampanos, Hany Azzam, Thomas Roelleke:
A case for probabilistic logic for scalable patent retrieval. PaIR@CIKM 2009: 1-8
2008
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  - journals/vldb/RollekeWWA08
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Thomas Rölleke, Hengzhi Wu, Jun Wang, Hany Azzam:
Modelling retrieval models in a probabilistic relational algebra with a new operator: the relational Bayes. VLDB J. 17(1): 5-37 (2008)

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