Query Model and Similarity-Based Retrieval for Workflow Reuse in the Digital Humanities

Four steps are required to constitute a logicist corpus. First of all a) a significant number of scientific texts concerning the archaeology of techniques have to

Many experiments were conducted to find the best configuration for query expan- sion. Table 2 lists two of the best runs with the proposed approach for the same que- ries. Run 4

Due to the large number of named entity queries – especially in the cultural domain - the automatic language detection has to deal with ambiguous terms or even terms

Similar to the monolingual task, comparison of the results using the InL2 model shows that relevance feedback with 15 terms and 20 documents improves performance retrieval..

Sensorial discourse and corpus in the digital humanities era: The example of the wine language..

To avoid checking all images, we follow the annotation procedure suggested in [13]: first, CNN image classifiers are trained for each of the 16 place classes (using images from

following his mental model (using the basic objects of Cigales where the node concept of Grog is represented by an area and the edge concept is represented by a line or the path

To address this issue, we propose a new semantic question answering approach combining Natural Language Processing (NLP) methods and Semantic Web techniques to analyze user’s