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- 16 creator elena-cabrio.
- 16 creator fabien-gandon.
- 16 creator serena-villata.
- 16 type InProceedings.
- 16 label "A Support Framework for Argumentative Discussions Management in the Web".
- 16 sameAs 16.
- 16 abstract "In the Web, wiki-like platforms allow the users to provide arguments in favor or against issues proposed by the other users. The increasing content of these wiki pages as well as the high number of revisions of these pages through pros and cons arguments make it difficult for community managers to understand and manage these discussions. In this paper, we propose an automatic framework to support the management of argumentative discussions in wiki-like platforms. Our framework is composed by (i) a natural language module, which automatically detects the arguments in natural language returning the relations among them, and (ii) an argumentation module, which provides the overall view of the argumentative discussion under the form of a directed graph highlighting the accepted arguments. Experiments on the history of Wikipedia show the feasibility of our approach.".
- 16 hasAuthorList authorList.
- 16 isPartOf proceedings.
- 16 keyword "Bipolar abstract argumentation".
- 16 keyword "Semantic Web".
- 16 keyword "Textual Entailment".
- 16 title "A Support Framework for Argumentative Discussions Management in the Web".
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- item-1 hasContent elena-cabrio.
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- 180 creator aldo-gangemi.
- 180 type InProceedings.
- 180 label "A Comparison of Knowledge Extraction Tools for the Semantic Web".
- 180 sameAs 180.
- 180 abstract "In the last years, basic NLP tasks: NER, WSD, relation extraction, etc. have been configured for Semantic Web tasks including ontology learning, linked data population, entity resolution, NL querying to linked data, etc. Some assessment of the state of art of existing Knowledge Extraction (KE) tools when applied to the Semantic Web is then desirable. In this paper we describe a landscape analysis of several tools, either conceived specifically for KE on the Semantic Web, or adaptable to it, or even acting as aggregators of extracted data from other tools. Our aim is to assess the currently available capabilities against a rich palette of ontology design constructs, focusing specifically on the actual semantic reusability of KE output.".
- 180 hasAuthorList authorList.
- 180 isPartOf proceedings.
- 180 keyword "Knowledge Extraction".
- 180 keyword "Linked Data Population".
- 180 keyword "Logical Patterns".
- 180 keyword "Ontology Learning".
- 180 title "A Comparison of Knowledge Extraction Tools for the Semantic Web".
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- item-1 hasContent aldo-gangemi.
- 187 creator mate-levente-nagy.
- 187 creator michael-krauthammer.
- 187 creator paolo-emilio-barbano.
- 187 creator tobias-kuhn.
- 187 type InProceedings.
- 187 label "Broadening the Scope of Nanopublications".
- 187 sameAs 187.
- 187 abstract "In this paper, we present an approach for extending the existing concept of nanopublications --- tiny entities of scientific results in RDF representation --- to broaden their application range. The proposed extension uses English sentences to represent informal and underspecified scientific claims. These sentences follow a syntactic and semantic scheme that we call AIDA, which provides a uniform and succinct representation of scientific assertions. Such AIDA nanopublications are compatible with the existing nanopublication concept and enjoy most of its advantages such as information sharing, interlinking of scientific findings, and detailed attribution, while being more flexible and applicable to a much wider range of scientific results. We show that users are able to create AIDA sentences for given scientific results quickly and at high quality, and that it is feasible to automatically extract and interlink AIDA nanopublications from existing unstructured data sources. To demonstrate our approach, a web-based interface is introduced, which also exemplifies the use of nanopublications for non-scientific content, including meta-nanopublications that describe other nanopublications.".
- 187 hasAuthorList authorList.
- 187 isPartOf proceedings.
- 187 keyword "Controlled Natural Languages".
- 187 keyword "Nanopublications".
- 187 keyword "Semantic Wikis".
- 187 keyword "Underspecified Representations".
- 187 title "Broadening the Scope of Nanopublications".
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- item-1 hasContent tobias-kuhn.
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- 204 creator andreas-harth.
- 204 creator benedikt-kaempgen.
- 204 type InProceedings.
- 204 label "No Size Fits All -- Running the Star Schema Benchmark with SPARQL and RDF Aggregate Views".
- 204 sameAs 204.
- 204 abstract "Statistics published as Linked Data promise efficient extraction, transformation and loading (ETL) into a database for decision support. The predominant way to implement analytical query capabilities in industry are specialised engines that translate OLAP queries to SQL queries on a relational database using a star schema (ROLAP). A more direct approach than ROLAP is to load Statistical Linked Data into an RDF store and to answer OLAP queries using SPARQL. However, we assume that general-purpose triple stores -- just as typical relational databases -- are no perfect fit for analytical workloads and need to be complemented by OLAP-to-SPARQL engines. To give an empirical argument for the need of such an engine, we first compare our generated SPARQL to ROLAP SQL queries in terms of performance. Second, we measure the performance gain of RDF aggregate views that, similar to aggregate tables in ROLAP, materialise part of the data cube.".
- 204 hasAuthorList authorList.
- 204 isPartOf proceedings.
- 204 keyword "Aggregate Views".
- 204 keyword "Linked Data".
- 204 keyword "OLAP".
- 204 keyword "Star Schema Benchmark".
- 204 title "No Size Fits All -- Running the Star Schema Benchmark with SPARQL and RDF Aggregate Views".