By Zhen Dingou
Cantonese is among the most vital and intricate chinese language dialect. it truly is as a rule dispensed in such a lot elements of Guang Dong and Hong Kong. In different nations, Cantonese-speaking in a foreign country chinese language all over the world, as many as thousands and thousands. Cantonese language performs a massive function in chinese language people's lives.
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Additional info for Dictionary of Cantonese
4 shows: Firstly, templates were extracted from all descriptive text concerned with “worksAt”. Then, all templates were used to match back with what they had been extracted from. Semantic relations with predicate “worksAt” were fetched and those not with proper noun object would be filtered out. As a result, the left semantic relations above were considered to be elements in the “Origin” set approximately. 3 Results Three teams of experiments were carried out on each relationship respectively. These teams were ontology-based approach, the intuitive method with only synonyms as keyword set, and the intuitive method with all relation template keywords added to the former one as keyword set.
The realization of matching and fetching is shown in Algorithm 2. 4 Experiment and Evaluation In this section, we show how we experimented and evaluated on each method for extracting semantic relations mentioned above. 1 Experiment Our experiments were run on the DBpedia dataset which is an open-access, highquality and widely-used dataset derived from Wikipedia. Among the DBpedia, two sub-datasets were used in our experiments: Ontology Infobox Properties dataset and Extended Abstracts dataset. The former one provided us with an existing ontology, while the latter one which contains abstracts in Wikipedia, offered us a large amount of descriptive texts.
We focused especially on the indirect links on the assumption that the underlying relation always be found through indirect links. Therefore, we provided detailed path information of every edge to distinguish which links are reasonable and significant. How all underlying relations between two entities in linked data are found is another problem. In this case, a search algorithm is used to find all edges between two nodes in Triple Store. Here, we adopt a series of SPARQL queries to achieve graph traversal.