Paper Info
Title
Toward a Scoring Schema to Rank Candidate Instances of Ontological Classes: Extracting Brazilian Portuguese Texts from the Web
Abstract
With the emergence of Information Extraction Systems driven by ontologies, boosted by the Semantic Web, there is a need for the development of scoring schemas that enable the automatic classification of information. These schemas, even so little explored in the Portuguese language, provide measures used in the stage of classification of relevant instances to ontological classes. In this way, this paper presents: (i) a brief discussion about existing scoring measures based on PMI (Pointwise Mutual Information); (ii) new scoring measures based on PMI and Standard Deviation Calculation; and (iii) an evaluation of all discussed measures in the context of Brazilian Portuguese texts from the web.
Year
DOI
Venue
2015
10.1145/2820426.2820465
WebMedia
Field
DocType
Citations 
Ontology,Data mining,Computer science,Semantic Web,Artificial intelligence,Natural language processing,Schema (psychology),Brazilian Portuguese,Ontology (information science),World Wide Web,Information retrieval,Portuguese,Information extraction,Pointwise mutual information
Conference
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
Fabio dos Santos Lima100.34
Lais do_Nascimento Salvador251.84