Knowledge Discovery in Scientific Literature
نویسندگان
چکیده
Digital libraries allow us to organize a vast amount of publications in a structured way and to extract information of user’s interest. In order to support customized use of digital libraries, we develop novel methods and techniques in the Knowledge Discovery in Scientific Literature (KDSL) research program of our graduate school. It comprises several sub-projects to handle specific problems in their own fields. The sub-projects are tightly connected by sharing expertise to arrive at an integrated system. To make consistent progress towards enriching digital libraries to aid users by automatic search and analysis engines, all methods developed in the program are applied to the same set of freely available scientific articles.
منابع مشابه
Designing an Ontology for Knowledge Discovery in Iran’s Vaccine
Ontology is a requirement engineering product and the key to knowledge discovery. It includes the terminology to describe a set of facts, assumptions, and relations with which the detailed meanings of vocabularies among communities can be determined. This is a qualitative content analysis research. This study has made use of ontology for the first time to discover the knowledge of vaccine in Ir...
متن کاملA Semantic Parser for Neuro-Degenerative Disease Knowledge Discovery
Ever increasing size of the biomedical literature makes tapping into implicit knowledge in scientific literature a necessity for knowledge discovery. In this paper, a semantic parser for recognizing semantic roles and named entities in individual sentences of schizophrenia related scientific abstracts is described. The named entity recognizer, CRFNER, outperforms ABNER in biological named entit...
متن کاملApplication of Public Knowledge Discovery Tool (PKDE4J) to Represent Biomedical Scientific Knowledge
In today’s era of information explosion, extracting entities and their relations in largescale, unstructured collections of text to better represent knowledge has emerged as a daunting challenge in biomedical text mining. To respond to the demand to automatically extract scientific knowledge with higher precision, the public knowledge discovery tool PKDE4J (Song et al., 2015) was proposed as a ...
متن کاملINFO 662/Final Assignment: Annotated Bibliography of Automated Metadata Extraction in Literature-based Knowledge Discovery Overview of LBKD
Don R. Swanson (19242012) pioneered the field of literature-based knowledge discovery (LBKD), which uses existing research to create new knowledge [Swanson 1986]. He believed that unearthing unseen links between two distinct areas of study could yield new discoveries—what he called “undiscovered public knowledge.” He wanted to demonstrate the presence of these “undiscovered connections” between...
متن کاملUnsupervised mining of knowledge gaps in scientific literature
Literature Based Discovery (LBD) relies on the identification of gaps in the scientific literature. Most of the existing methods are supervised and rely on the use of specific large knowledge domain databases like MedLine for medical study. We present here a tractable approach based on Natural Language Processing techniques with few linguistic resources and Formal Concept Lattice exploration. E...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014