Linked data for future search engines

Conventional search engines are based on matching words and phrases and not what the terms actually mean.

Entity-based search engines are designed to understand the meaning of the phrases entered by a searcher and deliver specific results. The results are people, places, books, or movies (or links to pages representing them).

Next-generation search engines will understand the concepts behind the queries and anticipate what you need before you’re able to articulate it.

Rich snippets are currently displayed based on the content of the web page. Future extended rich snippets could combine data from multiple sources or link to multiple sources directly in the snippet. This is known as Content-Centric Networking. The resulting rich snippets may contain related entities, more locations where a movie is being shown, etc. The choice of which sites to trust when it comes to sourcing such structured data can be based on the Page Rank algorithm, i.e. the popularity of that source.

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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 "грибочек" 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".