Eckher Dictionary is a modern pronunciation dictionary of the English language. Every pronunciation in Eckher Dictionary is written in IPA (International Phonetic Alphabet). Example English pronunciations: "bamlanivimab".

Eckher's Periodic Table of the Elements is the modern and accessible version of the periodic table that allows you to easily navigate all 118 elements and view detailed information about each element. It supports both the 18 column (IUPAC) and 32 column (long form) versions of the periodic table and provides the mobile- and touch-friendly interface for viewing the table.

Create sequence logos for protein and DNA/RNA alignments using Eckher Sequence Logo Maker.

Compose speech audio from IPA phonetic transcriptions using Eckher IPA to Speech.

Browse place name pronunciation on Eckher IPA Map.

Enter IPA characters using Eckher IPA Keyboard.

Navigate the Semantic Web and retrieve the structured data about entities published on the web using Eckher Semantic Web Browser.

Turn your phone into a compass using Eckher Compass.

Author, enrich, and query structured data using Eckher Database for RDF.

Create TeX-style mathematical formulas online with Eckher Math Editor.

Create knowledge graphs using Eckher RDF Graph Editor.

Send messages and make P2P calls using Eckher Messenger.

Build event-sourced systems using Eckher Database for Event Sourcing.

View PDB files online using Eckher Mol Viewer.

Listen to your text using Eckher Text to Speech.

View FASTA sequence alignments online with Eckher Sequence Alignment Viewer.

Convert Punycode-encoded internationalized domain names (IDNs) to Unicode and back with Eckher Punycode Converter.

Explore the human genome online with Eckher Genome Browser.

Edit text files online with Eckher Simple Text Editor.

Send test emails with Eckher SMTP Testing Tool.

В морфемном словаре русского языка МОРФЕМА.РУС приведен разбор слов по составу (морфемный разбор, морфемный анализ). Даный словарь поможет в проведении морфемного анализа не только начальных (словарных) форм слов, но и всех их словоформ (всех грамматических форм слов русского языка). В основу морфемного словаря "Морфема" положена наиболее полная лексика русского языка.

Разбор слова "заметный" по составу (морфемный анализ) представлен в словаре МОРФЕМА.РУС (выделение корня, суффикса, основы и окончания).

Demonym is an online dictionary of demonyms (words used to identify the people from a particular place). Some of these words aren't well-known or easy to remember, and Demonym can help you quickly find the answer. Examples: Barbados.

Розбір слів за будовою: "ходити".

Разбор слоў па саставе: "рассыпаць".

Ударения в словах: "Шеншин".

Синонимы к словам: "потешить".

Антонимы к словам: "сжать".

articles, tweets, resources
Dec 8, 2021
An Introduction To Graph, The Essential Data Analysis Tool
Companies in virtually every industry, from healthcare to energy to financial services, are applying the power of graph analytics to gain real-time insights and answer critical business questions. Leading research company Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025.
Oct 28, 2021
How To Start Solving Data Challenges With Knowledge Graphs
Knowledge graphs are well-suited to organizations with large data sets and where extracting knowledge often proves burdensome. For example, an organization might use a variety of data and content management systems, all without the ability to communicate with each other. Data may be structured in a way that's mutually incompatible. Or, the issue may be cultural, with little horizontal collaboration between teams and departments.
Sep 20, 2021
You Need To Be Thinking In Knowledge Graphs
Last year, Gartner declared knowledge graphs were at the summit of its Artificial Intelligence Hype Cycle. They stood within the bracket it calls the "Peak of Inflated Expectations," generally understood to mean a place where enthusiasm doesn't quite fit with the actual potential of the technology.
Sep 3, 2021
What are graph database query languages?
A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, and GQL and serve to unpack the information inside graphs.
Aug 9, 2021
What is AWS Neptune?
The AWS Neptune graph database is designed to store a wide collection of complex relationships as a scalable service. It supports a number of different and evolving standards for representing knowledge and complex networks as graphs and has recently added hooks for a Graph Store Protocol, openCypher, Neptune ML, and TinkerPop Gremlin to its wide array of supported APIs.
Feb 8, 2021
What is a graph database?
The graph database was originally designed to store networks — that is, the connections between several elements such as people, places they might visit, or the things they might use. Relational databases can find single connections between them, but they get bogged down when asked to negotiate and analyze complex relationships between multiple parties.