Oracle Spatial and Graph – RDF Semantic Graph, an option for Oracle Database 12c, is the only mainstream commercial RDF triplestore that supports the OGC GeoSPARQL standard for spatial data on the Semantic Web. This demonstration will give an overview of the GeoSPARQL implementation in Oracle Spatial and Graph and will show how to load, index and query spatial RDF data. In addition, this demons...

In this paper we present a method for summarizing document by creating a semantic graph of the original document and identifying the substructure of such a graph that can be used to extract sentences for a document summary. We start with deep syntactic analysis of the text and, for each sentence, extract logical form triples, subject–predicate–object. We then apply cross-sentence pronoun resolu...

This paper presents sGRAPH – a domain ontology-driven semantic graph auto extraction system used to discover knowledge from text publications in traditional Chinese medicine. The traditional Chinese medicine language system (TCMLs), composed of an ontology schema and a knowledge base containing 153,692 words and 304,114 relations, is used as the domain ontology. The sGRAPH comprises two compone...

knowledge graphs have been introduced in [Corby and Faron-Zucker, 2010] through the KGRAM framework. They result from an initiative [Dieng-Kuntz and Corby, 2005] aimed at easing the design of semantic web applications through conceptual graphs (CGs) [Sowa, 1984]. They are particularly well suited in the context of collaborative lifescience platforms since (i) they allow representing and queryin...

ion operator was introduced as the lambda abstraction operator because this semantic model is based on a particular interpretation of the typed lambda calculus used to denote natural language semantics. Thus, a particular “pen” can be denoted by the 0-order expression h()[pen 1231, the class of all pens can be defined by the 1-order expression h(x)[pen(x)], and this class is a particular subcla...

In this paper, we introduce a new semantic resource, i.e., conceptual graph bank, for Chinese language. The resource is to provide conceptual information for each sample sentence, which includes concepts, conceptual relationship, head, and conceptual hierarchies. Compared with treebanks, the resource focuses on static semantic information. We also introduce recursive graph to denote the concept...

Knowledge graph-based question answering is an intelligent approach to deducing the answer a natural language from structured knowledge graph information. As one of mainstream approaches, information retrieval-based methods infer correct by constructing and ranking candidate paths, which achieve excellent performance in simple questions but struggle handle complex due rich entity diverse relati...

Multimodal and dialogue-based mobile interfaces to the Semantic Web offer access to complex knowledge and information structures. We explore more fine-grained co-ordination of multimodal presentations in mobile environments by graph visualisations and navigation in ontological RDF result structures and multimedia archives. Semantic Navigation employs integrated ontology structures and leverages...

In this paper we propose a new graph-based approach to solve semantic ambiguity using a semantic net based on WordNet. Our proposal uses an adaptation of the Clique Partitioning Technique to extract sets of strongly related senses. For that, an initial graph is obtained from senses of WordNet combined with the information of several semantic categories from different resources: WordNet Domains,...