TY - JOUR
T1 - Ontology-based information extraction from Spanish forum
AU - Peña, Willy
AU - Melgar, Andrés
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Nowadays, institutions of higher education need to be informed about the opinion of their students about the services offered. They depend on this information to make strategic decisions. To accomplish this, many choose to hire consulting services companies that have traditional survey or focus group to obtain the required information; however, the bias that there is on this type of study, means that in some cases strategic decisions are not entirely reliable. Discussions of people in the Web 2.0 are a relevant source of information for this kind of organization due to the large amount of data that is posted every day. A case in point are the discussion forums, which made it possible for people to share their views freely on a specific topic. This is achieved thanks to comments made in publications; from which useful information can be extracted for use in other purposes. This paper will provide a prototype to exploit the information contained within the comments made in discussion forums. These sources of knowledge are often not processed for any purpose, however the proposed prototype allow us to extract relevant data from this reliable source to use as a knowledge base for a institution of higher education.
AB - Nowadays, institutions of higher education need to be informed about the opinion of their students about the services offered. They depend on this information to make strategic decisions. To accomplish this, many choose to hire consulting services companies that have traditional survey or focus group to obtain the required information; however, the bias that there is on this type of study, means that in some cases strategic decisions are not entirely reliable. Discussions of people in the Web 2.0 are a relevant source of information for this kind of organization due to the large amount of data that is posted every day. A case in point are the discussion forums, which made it possible for people to share their views freely on a specific topic. This is achieved thanks to comments made in publications; from which useful information can be extracted for use in other purposes. This paper will provide a prototype to exploit the information contained within the comments made in discussion forums. These sources of knowledge are often not processed for any purpose, however the proposed prototype allow us to extract relevant data from this reliable source to use as a knowledge base for a institution of higher education.
KW - Coreference resolution
KW - Forum
KW - Information extraction
KW - Ontology
UR - http://www.scopus.com/inward/record.url?scp=84984635999&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-24069-5_33
DO - 10.1007/978-3-319-24069-5_33
M3 - Conference article
AN - SCOPUS:84984635999
SN - 0302-9743
VL - 9329
SP - 351
EP - 360
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 7th International Conference on Computational Collective Intelligence, ICCCI 2015
Y2 - 21 September 2015 through 23 September 2015
ER -