Legalo
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let ''C'' a set of named entity pairs | let ''C'' a set of named entity pairs | ||
- | '''for each''' named entity ''e<sub>1</sub>'' in ''E'' | + | '''for each''' named entity ''e<sub>1</sub>'' '''in''' ''E'' |
- | '''for each''' named entity ''e<sub>2</sub>''' in ''E'' | + | '''for each''' named entity ''e<sub>2</sub>'' '''in''' ''E'' |
if ''e<sub>1</sub>'' != ''e<sub>2</sub>''' | if ''e<sub>1</sub>'' != ''e<sub>2</sub>''' | ||
add <''e<sub>1</sub>, e<sub>2</sub>'''> to ''C'' | add <''e<sub>1</sub>, e<sub>2</sub>'''> to ''C'' |
Revision as of 21:46, 13 June 2014
Legalo
Path identification algorithm
algorithm legalo is input An RDF graph G from FRED output A set S of RDF triples expressing semantic relations between named entities recognized in G let E the set of named entities in G let C a set of named entity pairs for each named entity e1 in E for each named entity e2 in E if e1 != e2' add <e1, e2'> to C let P a set of tuples <e1, e2, sub-graph> for each pair <e1, e2> in C directPaths ← depth first search in G of direct paths between e1 and e2 if directPaths is not empty for each directPath in directPaths add <e1, e2, directPath> to P else for each event event in G leftSubGraph ← depth first search in G for finding the shortest direct paths between e1 and event rightSubGraph ← depth first search in G for finding the shortest direct paths between and event and e2 if rightSubGraph does not contain agentive roles add <e1, e2, rightSubGraph> to P let S a set of RDF triples for each tuple <e1, e2, sub-graph> in P property ← generate semantic relation from p add RDF triple e1 - property - e2 to S
Generating semantic relations
In order to generate a semantic relation from each sub-graph identified with the legalo algorithm, the following criteria are taken into account:
- a label of a semantic relation is generated by concatenating the properties found in the statements from an event to an object
- some mappings between properties and terms of a semantic relation are performed according to the following criteria
- vnrole:Beneficiary → for
- vnrole:Instrument → with
- vnrole:Destination → to
- vnrole:Topic → about
- while traversing the statements, also the types of subject nodes are taken into account. Namely, given a subject node its most general FRED type is added into the label of a semantic relation
- repetitions of terms into a label of a semantic relation are avoided, i.e. in case of consecutive properties in a sub-graph such as born born only one is used into a semantic relation