SemWebEval 2014 proceedings are now available at Springer Link

Concept-Level Sentiment Analysis Challenge

• Mauro Dragoni, Andrea Tettamanzi and Celia Da Costa Pereira. A Fuzzy System For Semantic Sentiment Analysis.
• Nir Ofek and Lior Rokach. Lechuzo: Weakly-Supervised System for Fine-Grained Sentiment Analysis.
• Pablo Mendes, Anni Coden, Daniel Gruhl, Neal Lewis, Meena Nagarajan, Cartic Ramakrishnan, Michael Tannenblatt and Steve Welch. Semantic Lexicon Induction for Concept-level Sentiment Analysis.
• Soujanya Poria, Nir Ofek, Alexander Gelbukh, Amir Hussain and Lior Rokach. Sentic Demo: A Hybrid Concept Level Aspect Based Sentiment Analysis Toolkit.
• Shafqat Mumtaz Virk, Yann-Huei Lee and Lun-Wei Ku. Sinica Semantic Parser for ESWC'14 Concept-Level Semantic Analysis Challenge.
• Jay Kuan-Chieh Chung, Chi-En Wu and Richard Tzong-Han Tsai. Improve Polarity Detection of Online Reviews with Bag-of-Sentimental-Concepts.

Linked Open Data-enabled Recommender Systems Challenge

• Pierpaolo Basile, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Fedelucio Narducci, and Giovanni Semeraro. Aggregation Strategies for Linked Open Data-enabled Recommender Systems.
• Petar Ristoski, Eneldo Loza Mencia, Heiko Paulheim. A Hybrid Multi-Strategy Recommender System Using Linked Open Data.
• Nicholas Ampazis, Theodoros Emmanouilidis. Exploring Semantic Features for Producing Top-N Recommendation Lists from Binary User Feedback.
• Andres Moreno, Christian Ariza-Porras, Paula Lago, Claudia Jimenez-Guarin, Harold Castro, and Michel Riveill. Hybrid model rating prediction with Linked Open Data for Recommender Systems.
• Omar U. Florez, Lama Nachman. Deep Learning of Semantic Word Representations to Implement a Content-based Recommender for the RecSys Challenge'14.
• Benjamin Heitmann, Conor Hayes. SemStim at the LOD-RecSys 2014 challenge.
• Ladislav Peska, Peter Vojtas. Hybrid Recommending Exploiting Multiple DBPedia Language Editions.
• Valentina Maccatrozzo, Davide Ceolin, Lora Aroyo,  Paul Groth. Semantic Pattern-based Recommender.
• Matevz Kunaver, Tomaz Pozrl, Stefan Dobravec, Uros Droftina, Andrej Kosir. Increasing Top-20 diversity through recommendation post-processing.
• Rouzbeh Meymandpour, Joseph G. Davis. LODify: A Hybrid Recommender System based on Linked Open Data.
• Michael Schuhmacher, Christian Meilicke. Popular Books and Linked Data: Some Results for the ESWC’14 RecSys Challenge.

Semantic Publishing Challenge

• Raul Palma, Oscar Corcho, José Manuel Gómez-Pérez and Cezary Mazurek. ROHub – A digital library of Research Objects supporting scientists towards reproducible science.
• Francesco Ronzano, Gerard Casamayor Del Bosque and Horacio Saggion. Semantify CEUR-WS Proceedings: towards the automatic generation of highly descriptive scholarly publishing Linked Datasets.
• Maxim Kolchin and Fedor Kozlov. Unstable markup: A template-based information extraction from web sites with unstable markup.
• Rinke Hoekstra, Paul Groth and Marat Charlaganov. Linkitup: Semantic Publishing of Research Data.
• Francesco Osborne and Enrico Motta. Understanding Research Dynamics.
• Iana Atanassova and Marc Bertin. Faceted Semantic Search for Scientific Publications.
• Anastasia Dimou, Miel Vander Sande, Pieter Colpaert, Laurens De Vocht, Ruben Verborgh, Erik Mannens and Rik Van de Walle. Extraction and Semantic Annotation of Workshop Proceedings in HTML using RML.
• Marc Bertin and Iana Atanassova. Hybrid Approach for the Semantic Processing of Scientific Papers.