Knowledge Extraction with Saffron: A Framework and Research Program

In informatics and linguistics, parsing is the process that can determine the morpho-syntactic structure of a sentence; parsing associates a sentence expressed in a natural

The difficulties we encounter when we decide to develop a framework for managing I&C knowledge are double: the diversity of concepts (from level 0 to level 2 of the CIM -

Additionally, given that most of the planners accept planning problems in Planning Domain Definition Language (PDDL) [17] as their input, the inference engine looks up

In this paper, we presented a framework for build- ing a knowledge repository that: (1) applies a cus- tomisable text mining workflow to extract infor- mation in the form of

Multilingual aspect: Defining the labels in the ontology in different languages allows to visualize the graph in a multilingual form as shown in Figure 1 which describes the

Named entity recognition and automatic semantic data generation from natural language text has already been investigated and several knowledge extraction systems already exist [3]

These languages extend Datalog with features such as existential quantifiers, equalities, and the falsum in rule heads and negation in rule bodies, and, at the same time,

This phase introduces new knowledge in the text, and several dierent annotators can contribute, enriching the text with dierent kinds of knowledge, but mostly with External