Die Welt ist nicht so wie sie uns erscheint.

Was macht 'Realität' heute aus? Ist Realität das, was wir über unsere Streams finden? Das, was uns noch erreicht?

Algorithmisches Editieren heißt das und es hilft uns dabei das Richtige zu sehen… Realität bekommt darüber eine ganz neue Bedeutung.

 

Eine Erkenntnis, die nicht nur für Game-Design gilt, sonder auch erheblich mehr bei der Entwicklung von Services zu beherzigen ist. Viele Projekte starten nicht - sie sollen erst fertig sein. Das, was dann "fertig" ist, ist meist die Form und nicht das ganze Produkt. Und was dabei ganz außer Acht gelassen wird ist, dass die Nutzer die besten Mitentwickler sind, die es gib, denn genau für sie entwickeln wir ja…

Cheap game design through prototyping

By Cory Doctorow at 6:26 pm Wednesday, Jan 4

Raph Koster, who has many critical insights on game design, has a great new essay on his blog called "Making games more cheaply," which closes with this statement that applies to practically every form of digital media extant, and may just be the secret to success in the 21st century:

Embrace prototyping. Make your game playable and fun before you have any art. Stop writing big design docs.

Big design docs are useless. There, I said it. Trying to build a game off of one is like trying to recreate a movie from the director’s commentary track. They are largely castles in the air. The only time that big design docs serve a real purpose is when they are describing static content.

Embracing prototyping is a huge mental barrier for people. But it is what gets you to that long-lived self-refreshing systemic game design. You can prototype almost any game with some dice and some index cards. And plenty of ideas that sound good on paper turn out to suck when tried out for real.

Prototypes properly done are cheap. Prototyping is whistling five melodies and seeing which one you remember the next day.

Making games more cheaply

(Image: LogiBloks, a Creative Commons Attribution Share-Alike (2.0) image from rcourtie's photostream)

Die Zeiten, in denen der Fokus eines Unternehmens allein auf dem Kerngeschäft liegt, scheinen langsam vorbei.

Die Großen machen es vor: diversifizierte Business-Modelle und stete Flexibilität sich und seine Produkte neu zu erfinden. Single-Product-StartUps sollten sich das genau ansehen und sich fragen, welche weiteren Wege ihr Produkt zulässt. Heute ist es nicht mehr das Kern-Produkt allein, das über Gewinn und Verlust entscheidet, sondern nochmehr  als früher die Frage der eigenen Flexibilität sich neu zu erfinden und Veränderung zuzulassen - nicht nur im Produkt, sondern auch im Unternehmen selsbt.

Much of the discussion surrounding high valuations of internet companies is besides the point. The valuations of successful internet companies are justified, because they reflect an increasing capability to monetize internet reach and traffic.

One way that this capability is manifested is through the diversification of dominant internet companies away from their traditional business models towards business model combinations. These companies are transforming themselves into multi-faceted and increasingly individualized monetization platforms, serving both an ecosystem of business partners and millions of end customers.

While the dominant companies Google, Amazon and Apple are still generating over 90% of their sales with their traditional business model, sales from alternative revenue sources are growing fast. Each of these mega-platforms now make a billion dollars or more from new revenue sources. Google’s new businesses – worth one billion – are enterprise subscriptions for its hosted email, office and search software, licence sales on Android Marketplace and the Google Checkout payments solution. More will follow, like Google Offers. In its financial reporting, Amazon unfortunately combines its direct internet retail sales with its third-party marketplace commissions. The split would be interesting. But Amazon Web Services for enterprises and other new businesses contributed very close to a billion in sales in 2010. More than four billion Dollars of Apple’s sales comes from its nontraditional internet segment: Selling software and music licences on iTunes and the App Store.

 

eBay beats them all with a whopping 40% of its sales originating from non-marketplace activities, mostly payments solutions and advertising. For eBay, alternative business models are a three billion Dollar business.

This trend towards using combinations of business models like building blocks can be observed among dominant internet companies, as well as new challengers. Once they achieve a dominant position in terms of reach and traffic, internet companies new and old are becoming very savvy about which business models to combine in what way. Twitter took a long time to develop its business model it is gradually launching now, which actually is a combination of two building blocks: Advertising for those enthusiasts who don’t mind sponsored Tweets and subscription payments for those that want a pure, unsponsored desktop. This is what personalized business models are about, payment in whichever way fits the individual best.

For established businesses and start-ups which are only now beginning to focus on growing their internet activities, the trend is good and bad. The dominant players are offering a number of standardized payment services which can be more or less easily integrated in a plug and play fashion. But there is always a dependence which often means giving up a significant share of revenues.

Setting up one’s own dominant monetization platform is difficult, but despite the challenges, a few companies have achieved this recently: Facebook, Twitter, Groupon, Zynga and Airbnb. Their valuations are high, but their powerful ability to monetize is unique.

Some of these companies are from the start not relying on a single business model, but are diversified into different monetization approaches. Facebook relies on advertising, but is also evolving its virtual currency, Facebook Credits. In the case of Zynga, developing outside revenue sources which are independent from Facebook is critical for long-term success. All these successful newcomers took their time to carefully select and test different monetization approaches and are still fine-tuning them.

Sources: 2010 Annual Reports of Apple, Amazon, Google and eBay.

Die Google Dominanz, und der stete Disput mit facebook, haben das Augenmerk der Szene weg von der Entwicklung neuer Suchmaschinenkonzepte geführt. Was ist eigentlich aus dem Thema 'Semantik' geworden?

Hier mal ein paar aktuelle Schlaglichter - aber ich bin sicher, dass das Thema in der kommenden Zeit wieder an Aufmerksamkeit gewinnen wird...

There would be no doubt to say that Google is the most popular and powerful search engine which is used by millions of users every second. It is quite obvious that the search engine which is popular to such a great extent must be dominating over any other search engines. It has enriched its name and fame from past many decades, but now from few years back it is little bit losing its control among webmasters as Google search engines provide result on the basis of the use of keywords and back-linking techniques. Although Google has made some attempt and has taken some measures against the SEO techniques, but we have to wait to see the result, what will happen in future? Now, let’s see the impact of semantic search engines on webmasters and bloggers.

One cannot deny of the power and popularity of Google search engine, but inspite of that there are also some of the semantic search engines available which can be considered as the best alternative to Google for getting more accurate results based on page rankings and algorithms. Nowadays webmasters wishes to retrieve information on the basis of the meaning of the query they are making and hence taking help of semantic search engines which do exactly that. The working of Semantic Search Engines is quite different from traditional search engines; while traditional search engines take keywords into consideration and use ranking algorithm to provide search result, on the other hand semantic search engines gives search results on the basis of the meaning of the query done independent of the keywords and inbuilt links. In simple words we can say that Semantic search engine identifies the actual meaning of the queries done and return the results as per that.
What is Semantic Search Engine?

Actually a semantic search engine intelligently understands the context of what is being searched and give smart and relevant result according to the queries asked. The search engines like Yahoo, Google, Bing etc, which you called as traditional or ideal search engine matches the search queries based on the overall page rank, keywords, inbound link measurement algorithms, etc. In contrast to that, a semantic search engine carry on search process based on the semantics and meaning of the query. It assures you of more relevant results based on the ability to understand the definition of the word or term that is being searched for, rather than on page rank, keywords etc.
In this post we are enlisting top ten plus semantic search engines which we have gathered after a deep research. These search engines will help all the webmasters in getting more accurate result and enable you to get started in the world of semantic searching. So, now, let’s check out these to get more precise outcome. Please also do not forget to leave a comment in the comment section through which we can know your thoughts and opinion regarding this post. We hope you will certainly be benefitted by the lists presented in this post. Enjoy!!!

Hakia

Hakia is actually a semantic search technology company whose prime mission is to deploy semantic search solutions. It is an excellent semantic search engine to meet the challenges of elevated user expectations, business efficiency, at the lowest cost.

Exalead

Exalead is another semantic search engine which enables you to search images based on image size, color and content. It is really a must try search engine for image search and features a host of options to narrow down search.

Swoogle

swoogle is an excellent search engine for the semantic search on the World Wide Web which enables you to search anything as per your requirement.

DuckDuckGo

DuckDuckGo is a remarkable search engine which facilitates the users with its lot of features. It is really a very powerful semantic search engine with classic search as well as information search that will make you leave Google behind.

Cluuz

Cluuz is another sophisticated search engine which facilitates users with semantic cluster graphs, tag clouds and relevant images and other terms. The user prefers to use this search engine for their semantic search

Factbites

In actual, Factbites is a cross between a search engine and an encyclopedia. The user can be able to get complete, informative results on their search topic.

Evri

Evri is a marvelous semantic search engine which works as a discovery engine and delivers intelligent, real-time streams of information on topics being searched. It filters out the contents on the web and return you the best result on the topic you are searching.

 

DeepDyve

DeepDyve is a powerful, professional research engine which lets the public to access expert content from the “Deep Web” and is available free for the general public. You can search anything and your query can range from a single word to 25 000 characters. It presents results in a complex manner but despite complexity, search results can be easily navigated.

StartPage

StartPage is really a remarkable search engine enhanced by Google which lets you to search any topics suiting your requirement in a sophisticated manner. It facilitates the user with many advanced options for refining, sorting or saving their search.

SenseBot

SenseBot is a semantic search engine that uses text mining and multi document summarization to extract sense from Web pages, generates a text summary of multiple Web pages on the searched topic and presents it to the user in a coherent and fabulous manner.

Kngine

Kngine is an excellent Semantic Search Engine and Question Answer Engine which provide users highly customized and meaningful search result. It provides semantic information about the keyword or any topi searched and also answers the user’s questions.

Microsofts Social-Media-Dienst Tulalip versehentlich kurz veröffentlicht. War ja klar, nach Google+ muss Microsoft nun auch etwas bringen oder ? Immerhin haben sie viel Geld in Facebook und so konnten wir sehr kurz auf der von Microsoft angemeldeten Domain socl.com eine Page mit dem Namen Tulalip finden. Nutzbar übrigens mit einem Facebook Login (Facebook Connect) oder Twitter Account.

Beschrieben wurde Tulalip als einen Dienst, der es für die Nutzer besonders leicht machen sollte, “notwendige Dinge zu finden und bekannte Dinge zu teilen”.

Inzwischen steht auf Socl.com lediglich der Hinweis, dass es sich um eine Website eines internes Design-Projekts von Microsoft Research handelt, die versehentlich online zur Verfügung gestellt wurde. “Das war wirklich nicht unsere Absicht”, versichert Microsoft.

O-Ton: ”Socl.com is an internal design project from one of Microsoft’s research teams which was mistakenly published to the web.”  Microsoft has taken the site down and posted a message stating, “Thanks for stopping by.  Socl.com is an internal design project from a team in Microsoft Research which was mistakenly published to the web. We didn’t mean to, honest.”