Semantic Web Technologies for a Knowledge Base of Biomedical Facts Extracted from Scientific Literature
نویسندگان
چکیده
Biomedical literature, including scientific articles, public health reports and books become more and more available due to massive digitalization. Exploration and analysis of this rich source of data requires assistance of automatic tools capable of dealing with large volumes of text. We are developing a pipeline for processing publicly available biomedical text, abstracts, full text articles, conference proceedings, eventually books and electronic health records, starting from searching the web and downloading raw files, to extraction and storing concepts (entities) and semantic relations between them into a knowledge base. The goal is to create a biomedical knowledge base publicly available for both human and machine access (SPARQL endpoint and REST API).
منابع مشابه
Query Architecture Expansion in Web Using Fuzzy Multi Domain Ontology
Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...
متن کاملKnoFusius: a New Knowledge Fusion System for Interpretation of Gene Expression Data
This paper introduces a new architecture that aims at combining molecular biology data with information automatically extracted from relevant scientific literature (using text mining techniques on PubMed abstracts and fulltext papers) to help biomedical experts to interpret experimental results in hand. The infrastructural level bears on semantic-web technologies and standards that facilitate t...
متن کاملThe Knowledge-driven Exploration of Integrated Biomedical Knowledge Sources Facilitates the Generation of New Hypotheses
Knowledge gained from the scientific literature can complement newly obtained experimental data in helping researchers understand the pathological processes underlying diseases. However, unless the scientific literature and experimental data are semantically integrated, it is generally difficult for scientists to exploit the two sources effectively. We argue that, in addition to the semantic in...
متن کاملMining the Web to Add Semantics to Retail Data Mining
While research on the Semantic Web has mostly focused on basic technologies that are needed to make the Semantic Web a reality, there has not been a lot of work aimed at showing the effectiveness and impact of the Semantic Web on business problems. This paper presents a case study where Web and Text mining techniques were used to add semantics to data that is stored in transactional databases o...
متن کاملSemantic Web Rules for Business Information
A description of the New Brunswick Business Knowledge Base (NBBizKB) is provided and is made available online in RuleML. NBBizKB realizes a two-step design. First, business facts are extracted, once from static CSV tables and, repeatedly from dynamic semi-structured HTML pages. Second, Semantic Web rules are developed to derive information implicit in the fact base. Fact extraction comprises an...
متن کامل