Storing Dynamical Data Using Natural Language Addressing
نویسندگان
چکیده
منابع مشابه
Addressing Big Data Problems using Semantics and Natural Language Understanding
The need to solve the key problems related to Big Data in a practical and effective way is becoming very important as the data is growing very fast already exceeding the exabyte range. There are multiple problems with big data including storage, search, transfer, sharing, analysis, processing, viewing, and deriving meaning / semantics. Such problems are mainly due to the 4 Vs i.e. Volume, Veloc...
متن کاملStoring Rdf Graphs Using Nl-addressing
NL-addressing is a possibility to access information using natural language words as addresses of the information stored in the multi-dimensional numbered information spaces. For this purpose the internal encoding of the letters is used to generate corresponded co-ordinates. The tool for working in such style is named OntoArM. Its main principles, functions and using for storing RDF graphs are ...
متن کاملAddressing Bioinformatics Big Data Problems using Natural Language Processing: Help Advancing Scientific Discovery and Biomedical Research
The amount of data in Bioinformatics (and amount of data in our world in general) has been exploding. For example, U.S. healthcare industry alone had generated 150 exabytes (2^18) of data by 2011. Using such large data sets so called big data has become a critical issue providing both challenges and opportunities. There are multiple problems with big data including storage, search, transfer, sh...
متن کاملPractical Aspects of Natural Language Addressing
NL-addressing is approach for building of a kind of so called “post-relational databases”. Some practical aspects of implementation and using of NL-addressing are discussed in this paper. The software realized in this research was practically tested as a part of an instrumental system for automated construction of ontologies "ICON" (“Instrumental Complex for Ontology designatioN”) which is unde...
متن کاملAddressing Semantic Ambiguities in Natural Language Constraints
In NL2OCL project, we aim to translate English specification of constraints to formal constraints such as OCL (Object Constraint Language). In English to OCL translation, our contribution is a semantic analyzer that uses the output of the Stanford parser for shallow and deep semantic parsing. Our analysis of the output of shallow semantic parsing showed that semantic roles were misidentified fo...
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: IOP Conference Series: Materials Science and Engineering
سال: 2021
ISSN: 1757-8981,1757-899X
DOI: 10.1088/1757-899x/1031/1/012074