[PDF][PDF] Open information extraction using wikipedia
Abstract Information-extraction (IE) systems seek to distill semantic relations from
naturallanguage text, but most systems use supervised learning of relation-specific …
naturallanguage text, but most systems use supervised learning of relation-specific …
Geographic knowledge extraction and semantic similarity in OpenStreetMap
In recent years, a web phenomenon known as Volunteered Geographic Information (VGI)
has produced large crowdsourced geographic data sets. OpenStreetMap (OSM), the leading …
has produced large crowdsourced geographic data sets. OpenStreetMap (OSM), the leading …
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets
Objectives Biomedical natural language processing tools are increasingly being applied for
broad-coverage information extraction—extracting medical information of all types in a …
broad-coverage information extraction—extracting medical information of all types in a …
[PDF][PDF] Wanderlust: Extracting semantic relations from natural language text using dependency grammar patterns
ABSTRACT A great share of applications in modern information technology can benefit from
large coverage, machine accessible knowledge bases. However, the bigger part of todays …
large coverage, machine accessible knowledge bases. However, the bigger part of todays …
A survey of volunteered open geo-knowledge bases in the semantic web
Over the past decade, rapid advances in web technologies, coupled with innovative models
of spatial data collection and consumption, have generated a robust growth in geo …
of spatial data collection and consumption, have generated a robust growth in geo …
[HTML][HTML] Context-enhanced concept disambiguation in wikification
Wikification is a method to automatically enrich a text with links to Wikipedia as a knowledge
base. One step in Wikification is detecting ambiguous mentions, and one other step is …
base. One step in Wikification is detecting ambiguous mentions, and one other step is …
Automatically categorizing software technologies
Informal language and the absence of a standard taxonomy for software technologies make
it difficult to reliably analyze technology trends on discussion forums and other on-line …
it difficult to reliably analyze technology trends on discussion forums and other on-line …
Incorporating LDA with word embedding for web service clustering
Y Zhao, C Wang, J Wang, K He - International Journal of Web …, 2018 - igi-global.com
With the rapid growth of web services on the internet, web service discovery has become a
hot topic in services computing. Faced with the heterogeneous and unstructured service …
hot topic in services computing. Faced with the heterogeneous and unstructured service …
Computing semantic relatedness from human navigational paths: A case study on wikipedia
In this article, the authors present a novel approach for computing semantic relatedness and
conduct a large-scale study of it on Wikipedia. Unlike existing semantic analysis methods …
conduct a large-scale study of it on Wikipedia. Unlike existing semantic analysis methods …
Link analysis of Wikipedia documents using mapreduce
V Hardik, V Anirudh, P Balaji - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Wikipedia, a collaborative and user driven encyclopedia is considered to be the largest
content thesaurus on the web, expanding into a massive database housing a huge amount …
content thesaurus on the web, expanding into a massive database housing a huge amount …