Unsupervised approaches for textual semantic annotation, a survey

X Liao, Z Zhao - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Semantic annotation is a crucial part of achieving the vision of the Semantic Web and has
long been a research topic among various communities. The most challenging problem in …

Semantic annotation for knowledge explicitation in a product lifecycle management context: A survey

Y Liao, M Lezoche, H Panetto, N Boudjlida… - Computers in …, 2015 - Elsevier
Nowadays, the need for systems interoperability in or across enterprises has become more
and more ubiquitous. Many research works have been carried out in the fields of information …

An ontology-based retrieval system using semantic indexing

S Kara, Ö Alan, O Sabuncu, S Akpınar, NK Cicekli… - Information Systems, 2012 - Elsevier
In this paper, we present an ontology-based information extraction and retrieval system and
its application in the soccer domain. In general, we deal with three issues in semantic …

Ontology-based annotation and retrieval of services in the cloud

MÁ Rodríguez-García, R Valencia-García… - Knowledge-based …, 2014 - Elsevier
Cloud computing is a technological paradigm that permits computing services to be offered
over the Internet. This new service model is closely related to previous well-known …

GaiusT: supporting the extraction of rights and obligations for regulatory compliance

N Zeni, N Kiyavitskaya, L Mich, JR Cordy… - Requirements …, 2015 - Springer
Ensuring compliance of software systems with government regulations, policies, and laws is
a complex problem. Generally speaking, solutions to the problem first identify rights and …

Automatic analysis of textual hotel reviews

A García-Pablos, M Cuadros, MT Linaza - Information Technology & …, 2016 - Springer
Social Media and consumer-generated content continue to grow and impact the hospitality
domain. Consumers write online reviews to indicate their level of satisfaction with a hotel …

An automatic approach for ontology-based feature extraction from heterogeneous textualresources

C Vicient, D Sánchez, A Moreno - Engineering Applications of Artificial …, 2013 - Elsevier
Data mining algorithms such as data classification or clustering methods exploit features of
entities to characterise, group or classify them according to their resemblance. In the past …

A methodology to learn ontological attributes from the Web

D Sánchez - Data & Knowledge Engineering, 2010 - Elsevier
Class descriptors such as attributes, features or meronyms are rarely considered when
develo** ontologies. Even WordNet only includes a reduced amount of part-of …

Creating a semantically-enhanced cloud services environment through ontology evolution

MÁ Rodríguez-García, R Valencia-García… - Future Generation …, 2014 - Elsevier
Currently, the availability of Web resources has grown enormously to the point that whatever
a user needs at a given moment can potentially be found on the Internet. These resources …

Automated semantic annotation of rare disease cases: a case study

M Taboada, H Rodríguez, D Martínez, M Pardo… - Database, 2014 - academic.oup.com
Motivation: As the number of clinical reports in the peer-reviewed medical literature keeps
growing, there is an increasing need for online search tools to find and analyze publications …