The teacher firstly tells the class that they want to find out some EXTRAORDINARY information.
Hand out a piece of paper to each student and get them to write down questions that they want to find out! One of the more common use cases of Enterprise 2.0 is finding expertise within a large organisation.
Our friends at Socialtext are quoted as saying that 70% of searches on a companywide intranet are people searches, which more often than not are unsuccessful.
An internal directory, which can be potentially pre-populated from existing data sources, could be a great way to start deploying social software within your organisation. Thanks Larry – do you find most SNA’s manual or have you seen any good auto-magic ones? In an organization, SNA of individuals could raise some tricky issues if used inappropriately. I think SNAs are great (and Steve is right about Atlas) however you really need to be able to access the communications going on inside an organisation to do it and that is not always possible.
However (and to the point of a very good post) building a good, fully searchable directory is key and a great starting point.
Effectively discovering emerging topics, shared expertises, experiences and experts can really make the difference on the bottom line and social media (other then email) make up another enormous and valuable archive of information that can be analized and measured in order to optimize your organization, spread innovation or fuel change management. Fantastico el articulo que nos presentan en Wazi y que nos hace un recorrido por algunos de los trucos mas potentes a la hora de encontrar cualquier tipo de dato en nuestros sistemas. Este articulo practico comienza hablando del comando find, que por ejemplo nos permite encontrar ficheros mayores que cierto tamano o que son los mas recientes que tenemos en nuestro sistema, y a partir de ahi hay un gran numero de trucos adicionales en los que ademas de usarse el comando find tambien se usan en combinacion con el otros dos eminentes comandos de Linux, grep y awk.
La potencia que ofrece la combinacion de esos tres comandos es asombrosa, y permite que por ejemplo encontremos bloques de texto en un directorio, o que encontremos usuarios de nuestro sistema. Os recomendamos la lectura del post original, que aunque desde luego no cubre ni mucho menos todas las posibilidades, si es un primer paso para comprender la capacidad que tienen dichos comandos.
Si quereis ir mas alla (bastante mas alla, diria yo), podeis consultar el sitio web recomendado por German en los comentarios, CommandLineFu, en el que encontrareis comandos que hacen cosas que jamas imaginariais, y en los que se usan con asiduidad find, grep o awk. Muy muy interesante, estas herramientas si bien separadas ya son buenas, juntas te solucionan casi cualquier problema de este tipo.


Esto no significa ni mucho menos que dichas herramientas dejen de usarse, pues aun con todo, bien usadas siguen siendo muchisimo mas potentes y precisas que los motores de busqueda semantica. Picajoso, fijate que abajo a la derecha estan todas las tags, entonces es mas facil encontrar lo que queremos ya que asi esta ordenado por topicos. Siempre es bueno conocer estas herramientas de consola que son comunes a cualquier distro, y que las tenes a mano siempre, aun sin entorno. Me parece que los que se prenden en interminables debates, insultos y diciendo esto por que aquello, no tienen ni idea de Linux, alguna vez ingrese en un blog donde quedaba al pie del comentario con que sistema y que navegador se habia hecho. Estuve intentando utilizar el comando find…y es muy complicada la sintaxis en la terminal. Cada sabado te llegara un mensaje con un resumen de todos los articulos publicados esa semana. Usamos cookies propias y de terceros para mejorar tu experiencia y realizar tareas de analitica. NetLZ is a digital marketing company that specializes in digital marketing for small and medium businesses. While most of the benefits you cited can be achieved also through social networking on a personal level, what you often miss is the bigger picture at the organizational and intraorganizational level.
Aun asi, la pega que les veo es que tienes que conocerlas bastante bien para sacarles todo el jugo posible, y ultimamente con la puesta en escena de los motores de busqueda semantica para el escritorio como Akonadi, Nepomuk o Zeitgeist me inclino a pensar que dentro de relativamente poco tiempo a casi ningun usuario le hara falta trastear con grep y find si usa etiquetas y metatags como es debido en sus archivos. Yo al grep lo uso siempre para filtrar resultados, pero al find lo encuentro muy confuso y al awk ni lo conocia :P Le echare un vistazo. You go to a search engine and type in some key words that best correlate with what you’re looking for, and you hit enter.
And all of these calculations take … are you ready for this … about a half second! SEO experts work to make sure that every bit of information you’re looking for will be retrieved by search engines in order to bring you the most comprehensive data you need. So, the next time you type your key words into a search engine to research any topic on the web, think about the billions of data that go into that one half second it takes for you to get your results back. Share it with your friends on fbook and maybe one of them can find it and share some hints there!


Click on the + and choose the services and search methodology, inclusive or exclusive, for your research. About a half second later, pages and pages of data materialize like magic, right there in front of your eyes. They’re actually asking more than 200 questions of all the websites they encounter in order to optimize your search and bring you the most relevant data. By the way, if you’re wondering how much information is being disseminated, this will give you an idea. Without SEO, your research might not produce the thorough and far-reaching results you require in your searches. And think about all the SEO experts who are optimizing information in order to bring more clarity and comprehensive information to all of your searches. A sales rep who knows the right person to talk to in accounts to book that deal right at the end of the quarter to make his target knows this – as does the journalist who needs to find someone who works for her publication who happens to speak Chinese and English fluently in order to meet her copy deadline.
By 1998, Google’s index already had 26 million pages, and it reached one billion pages by the year 2000!
Imagine your search engine’s many spiders reaching out to all the thousands of computers out there, locating billions of pages and links, sifting through it all to maximize your time and bring all the data you need right to your fingertips … like magic! Most people go to a search engine such as Google or Yahoo, type in a topic or a few key words, and hit enter. And, though the answer to the question is no, you didn’t search the whole internet, you did search a pretty sizable portion of it.
From there, they retrieve the pages those links point to, and Google’s spiders follow those links to more pages and more links, and then they follow them to more pages and links, and so on, until Google has indexed literally billions of pages that are stored on thousands of computers.



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