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Current Challenges in Patent Information Retrieval - Google Books

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Search. Hany Azzam, Iraklis A. Klampanos, and Thomas Roelleke Abstract Patent retrieval has emerged as an important application of information retrieval (IR).

Advances in Multidisciplinary Retrieval: First Information Retrieval...

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Iraklis Angelos Klampanos, Hengzhi Wu, Thomas Roelleke, and Hany Azzam Automatic Extraction and Resolution of Bibliographical References in Patent ...

Information Retrieval Models Part I

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Tutorial on foundations of Information Retrieval Models by Thomas Roelleke and Ingo Frommholz presented at the Information Retrieval and Foraging Autumn School…

CiteSeerX — An Attribute-based Model for Semantic Retrieval

citeseerx.ist.psu.edu

BibTeX. @MISC{Azzam_anattribute-based, author = {Hany Azzam and Thomas Roelleke}, title = {An Attribute-based Model for Semantic Retrieval}, year = {} } ...

LWA Lernen, Wissen, Adaption

www.minf.uni-bamberg.de

... Thomas Roelleke, Hany Azzam, Marco Bonzanini, Miguel Martinez-Alvarez and Mounia Lalmas: The D2Q2 Framework: On the Relationship and Combination ...

Search results for "Hany Azzam" – FacetedDBLP

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Found 5 publication records. Showing 5 according to the selection in the facets . Hits ? ▲ Authors Title Venue Year Link Author keywords; 1: Hany Azzam, Thomas Roelleke

Search results for "Hengzhi Wu" – FacetedDBLP

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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 :

DBWorld Message

research.cs.wisc.edu

... NZ Paper Presentations Iraklis A. Klampanos, Hany Azzam and Thomas Roelleke: A Case for Probabilistic Logic for Scalable Patent Retrieval ...

All web results to the name "Hany Azzam"

Logic-Based Retrieval: Technology for Content-Oriented and ...

www.springerprofessional.de

Scaling Up High-Value Retrieval to Medium-Volume Data Read first chapter. Authors: Iraklis Angelos Klampanos, Hengzhi Wu, Thomas Roelleke, Hany Azzam.

Modelling retrieval models in a probabilistic relational algebra with...

www.sciweavers.org

... advanced retrieval models, is suitable for solving large-scale retrieval tasks, and ou... Thomas Rölleke, Hengzhi Wu, Jun Wang, Hany Azzam.

Publications – The Practical Academic

miguelmalvarez.com

Thomas Roelleke, Hany Azzam, Marco Bonzanini, Miguel Martinez-Alvarez and Mounia Lalmas. German Computer Science Society (GI) Joint Forum on “Lernen ...

Thomas Roelleke: Publications - eecs.qmulwww.eecs.qmul.ac.uk › ~thor › pubs

www.eecs.qmul.ac.uk

Ranking-based Processing of SQL Queries Hany Azzam, Thomas Roelleke and Sirvan Yahyaei CIKM (Conference on Information & Knowledge Management), ...

Thomas Roelleke EECS QMUL Homepage

www.eecs.qmul.ac.uk

The Probabilitic DB+IR Team at Work: Thomas Roelleke: Abstraction: Hany Azzam: Semantic Data Retrieval: Miguel Martinez-Alvarez: Classification Logic

The VLDB Journal, Volume 17

www.vldb.org

Thomas Rölleke, Hengzhi Wu, Jun Wang, Hany Azzam: Modelling retrieval models in a probabilistic relational algebra with a new operator: the relational Bayes.

VLDB Journal: Very Large Data Bases

ftp.math.utah.edu

1--3 Thomas Roelleke and Hengzhi Wu and Jun Wang and Hany Azzam Modelling retrieval models in a probabilistic relational algebra with a new operator:

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Hany Azzam and Thomas Roelleke Free People Check