E-Species - A search engine for bugs and stuff

About e-Species: This is a pure Python CGI-based implementation of a taxonomically intelligent species search engine. It searches biological databases for a taxonomic name.

iSpecies.org is also a species search engine.

iSpecies uses web services to talk to source databases, extract data, and assemble a page for each species. The code makes extensive use of XML. Essentially, each web service returns XML in one form or another, and then they use XSL style sheets to transform the result into HTML.

The search results? Bugs!



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Nice and Neat, it’s Yoozila



From a commenter comes this tip: Yoozila is a new search engine, straight-forward, but well done. It’s primary purpose is to provide you with relevant results and present them in a fresh web 2.0 beautiful manner.

“Why shouldn’t search results look nice ? ”

And they don’t just look nice, they’re also easy to use. The feature that I like most is the filter box.  Within it you’ll find the Parental Control feature, which you can use to filter adult content, region, file type, license and language filters, to make sure you find exactly what you’re looking for, and you’re even able to search through the search results to really get what you’re looking for.

…and be sure to visit the Yoozila blog for more information.




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2lingual: effettuare ricerche bilingue

2lingual è un servizio gratuito che ci permette di effettuare ricerche bilingue. Avremo la possibilità di ricercare contemporaneamente in italiano ed inglese, italiano e francese e così via, attualmente sono disponibili ben 552 diverse combinazioni.  La home page del sito si presenta totalmente bianca con la barra dove digitare i termini da ricercare e 2 menu a tendina per selezionare le lingue.
Nei risultati della ricerca, oltre alla classica pagina di Google, potremo selezionare anche le immagini e i video di Google, le pagine di Wikipedia o la blogosfera. Così mentre da una parte cerchiamo il sito di nostro interesse, dall’altra potremo guardare immagini, video etc.
Un ottimo servizio, semplice e pratico, che potrebbe rivelarsi molto utile.

Source InfoWeb.tk



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The Semantics of Humor

By Dr. Christian Hempelmann, Chief Scientific Officer

Ontological Semantics in our current proprietary version OntoSem 2.3 is hakia’s core natural language technology. It is a theory of language meaning with an interesting pedigree, one of its ancestors being the “Semantic Script Theory of Humor”, developed by Victor Raskin in 1985 in his book Semantic Mechanisms of Humor. While it might sound a little funny, as noted by ZDNet’s Paul Miller with whom I recently talked at the Semantic Technology Conference, the development from a theory of humor to an application in Internet search is actually quite logical.

For a text to be humorous is for it to have a specific meaning. And in order to adequately describe meaning, we need a complex semantic theory including a rich repository of world information, an ontology, structured around “scripts”. These chunks of world knowledge are evoked in a specific constellation in humor. Let’s look at an example:

“Is the doctor at home?” the patient asked in his bronchial whisper.
“No”, the doctor’s young and pretty wife whispered in reply. “Come right in.”

When humans process this text, “doctor” will trigger a general medical script for them, into which the meanings of “patient” and “bronchial whisper” fit nicely. In this medical script, the doctor’s wife will then probably “whisper” to comfort the ailing patient. The additional information that she is “young” and “pretty” seems at least odd, until the punchline tells us that we are not reading about a reverse house visit, but, at least in the mind of the wife, about an adulterous encounter. For humans, just as for computers, to get this joke, they need world knowledge that is structured in such a way that a medical script be in opposition to a non-medical, sexual script: enter OntoSem! For a computer to get the meaning of text on a webpage and match it to a query, it needs just that: A rich ontology that it can use to identify meanings of words in language, no matter if it’s English or Japanese.

Thus, it was quite logical that I represented hakia at the International Summer School for Research in Humor and Laughter in Galati, Romania, last week, where lecturers from around the world introduced participants to existing theories and methods in humor research. My talks included general introductions to (computational) semantics and a dedicated lecture on OntoSem as a tool for humor research as well as the core of an Internet search engine.

Making sense of humor with OntoSem is just a specific version of making sense of language in general, the foundation of hakia’s semantic search.



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Search 552 bilingual combiniations with 2lingual

2lingual makes it possible for users to bilingually search the World Wide Web, Images, Videos, Wikipedia and the Blogosphere. It’s possible to search the Web in 552 unique bilingual combinations.



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