Towards an Open Question Answering Architecture On Monday, August 18 ,13.30, Edgard Marx, will give a pre-presentation of his Semantics’ conference talk about the accepted paper Towards an Open Question Answering Architecture. About the AKSW Colloquium This event is part of a series of events about Semantic Web technology. Please see http://wiki.aksw. Read more about "AKSW Colloquium “Towards an Open Question Answering Architecture” conference pre-presentation on Monday, August 18 in P702"
Hello again! Unfortunately, we missed the opportunity to inform you about other contributions of AKSW to the SEMANTiCS 2014. First, we missed to tell you about another accepted paper: Towards Question Answering on Statistical Linked Data ( Konrad Höffner and Jens Lehmann) Second, there is also another excellent and interesting series of workshops. Read more about "Additional contributions to SEMANTiCS 2014"
Hello Community! We are very pleased to announce that five of our papers were accepted for presentation at SEMANTiCS 2014. The papers cover architectures for Big Data Search Engines, Linked Data Visualisations, Machine Learning and Dataset Descriptions. Read more about "Five AKSW Papers at SEMANTiCS 2014"
Knowledge Extraction and Presentation On Monday, July 28, in room P702 at 3.00 p.m., Edgard Marx proposes a question answering system. He has a computer science background (BSc. and MSc. in Computer Science/PUC-Rio) and is a member of AKSW (Agile Knowledge Engineering and Semantic Web). Read more about "AKSW Colloquium “Knowledge Extraction and Presentation” on Monday, July 28, 3.00 p.m. in Room P702"
Dear all, The Semantic Web Journal is launching a special issue on Question Answering over Linked Data, soliciting original papers that * address the challenges involved in question answering over linked data, * present resources and tools to support question answering over linked data, or * describe question answering systems and applications. Read more about "[CfP] Semantic Web Journal: Special Issue on Question Answering over Linked Data"