The Semantic Web

of Keynotes Bringing Semantic Intelligence to Financial Markets

[1]  Béatrice Finance,et al.  FSCEP: A New Model for Context Perception in Smart Homes , 2016, OTM Conferences.

[2]  Claudio Bettini,et al.  Fine-grained recognition of abnormal behaviors for early detection of mild cognitive impairment , 2015, 2015 IEEE International Conference on Pervasive Computing and Communications (PerCom).

[3]  Boontawee Suntisrivaraporn.  Module Extraction and Incremental Classification: A Pragmatic Approach for Ontologies , 2008, ESWC.

[4]  Filip De Turck,et al.  Towards a social and context-aware multi-sensor fall detection and risk assessment platform , 2015, Comput. Biol. Medicine.

[5]  Diane J. Cook,et al.  Activity recognition on streaming sensor data , 2014, Pervasive Mob. Comput..

[6]  Jens Lehmann,et al.  Integrating NLP Using Linked Data , 2013, SEMWEB.

[7]  Zornitsa Kozareva,et al.  Combining data-driven systems for improving Named Entity Recognition , 2005, Data Knowl. Eng..

[8]  Jean Charlet,et al.  DAFOE: a Platform for Building Ontologies from Texts , 2010, EKAW.

[9]  Johanna Völker,et al.  Acquisition of OWL DL Axioms from Lexical Resources , 2007, ESWC.

[10]  Simon A. Dobson,et al.  Situation identification techniques in pervasive computing: A review , 2012, Pervasive Mob. Comput..

[11]  Jit Biswas,et al.  Uncertainty handling in semantic reasoning for accurate context understanding , 2015, Knowl. Based Syst..

[12]  Abdelghani Chibani,et al.  Dempster–Shafer theory-based human activity recognition in smart home environments , 2014, Ann. des Télécommunications.

[13]  Andreas Christmann,et al.  Support vector machines , 2008, Data Mining and Knowledge Discovery Handbook.

[14]  Lotfi A. Zadeh,et al.  A Simple View of the Dempster-Shafer Theory of Evidence and Its Implication for the Rule of Combination , 1985, AI Mag..

[15]  Kalina Bontcheva,et al.  Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines , 2014, LREC.

[16]  Claudio Bettini,et al.  COSAR: hybrid reasoning for context-aware activity recognition , 2011, Personal and Ubiquitous Computing.

[17]  Harald Sack,et al.  DBpedia ontology enrichment for inconsistency detection , 2012, I-SEMANTICS '12.

[18]  Didier Dubois,et al.  Automated Reasoning Using Possibilistic Logic: Semantics, Belief Revision, and Variable Certainty Weights , 1994, IEEE Trans. Knowl. Data Eng..

[19]  Maria Ruiz-Casado,et al.  Automatic Extraction of Semantic Relationships for WordNet by Means of Pattern Learning from Wikipedia , 2005, NLDB.

[20]  Henry A. Kautz,et al.  Fine-grained activity recognition by aggregating abstract object usage , 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).

[21]  Claudio Bettini,et al.  Context-Aware Activity Recognition through a Combination of Ontological and Statistical Reasoning , 2009, UIC.

[22]  Lora Aroyo,et al.  The Three Sides of CrowdTruth , 2014, Hum. Comput..

[23]  Ian Horrocks,et al.  Consequence-Based Reasoning beyond Horn Ontologies , 2011, IJCAI.

[24]  Giorgio Orsi,et al.  Aggregating Semantic Annotators , 2013, Proc. VLDB Endow..

[25]  A. K. Sharma,et al.  A Fuzzy Integrated Ontology Model to Manage Uncertainty in Semantic Web: The FIOM , 2011 .

[26]  Claudio Bettini,et al.  SmartFABER: Recognizing fine-grained abnormal behaviors for early detection of mild cognitive impairment , 2016, Artif. Intell. Medicine.

[27]  Kalina Bontcheva,et al.  User-friendly ontology authoring using a controlled language , 2006, LREC.

[28]  Heiner Stuckenschmidt,et al.  A probabilistic ontological framework for the recognition of multilevel human activities , 2013, UbiComp.

[29]  John Riedl,et al.  Tagsplanations: explaining recommendations using tags , 2009, IUI.

[30]  Boontawee Suntisrivaraporn,et al.  Polynomial time reasoning support for design and maintenance of large-scale biomedical ontologies , 2008 .

[31]  Jonathan Berant,et al.  Building a Semantic Parser Overnight , 2015, ACL.