DiTeX: Disease-related topic extraction system through internet-based sources
نویسندگان
چکیده
منابع مشابه
Web-based Instruction of Music Students through Internet Sources
We present a software tool that can help music tutors and students organize and search their musical digital library in an efficient way. Our system is based on fuzzy cmeans clustering and automatically organizes a collection of music files according to musical surface characteristics (e.g., zero crossings, short-time energy, etc.) and tempo. The system is complemented with semantic metadata, w...
متن کاملAdvancing Topic Ontology Learning through Term Extraction
This paper presents a novel methodology for topic ontology learning from text documents. The proposed methodology, named OntoTermExtraction is based on OntoGen, a semi-automated tool for topic ontology construction, upgraded by using and an advanced terminology extraction tool in an iterative, semiautomated ontology construction process. This process consists of (a) document clustering to find ...
متن کاملLocating Knowledge Sources through Keyphrase Extraction
There are a large number of tasks for which keyphrases can be useful. Manually identifying keyphrases can be a tedious and time consuming process that requires expertise, but if automated could save time and aid in creating metadata that could be used to locate knowledge sources. In this paper, the authors present an automated process for keyphrase extraction from email messages. The process en...
متن کاملCategorization-based Topic-oriented Internet Search Engine
In this paper we present the result of our project that aims at build up a categorization-based topic-oriented Internet search engine. Particularly, we focus on the economic related electronic materials available in Hungarian on the Internet. We present D. Tikk et al. Categorization-based Topic-oriented Internet Search Engine 234 our search service that harvests, stores and makes searchable the...
متن کاملTopic Extraction and Bundling of Related Scientific Articles
Automatic classification of scientific articles based on common characteristics is an interesting problem with many applications in digital library and information retrieval systems. Properly organized articles can be useful for automatic generation of taxonomies in scientific writings, textual summarization, efficient information retrieval etc. Generating article bundles from a large number of...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2018
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0201933