Month: March 2016

  • Artificial Intelligence – Breadth-First and Depth-First-Search

    Summary of week one of the MOOC Artificial intelligence at edx. The lecture deals with artificial intelligence, which means in this context, that we want to program computers that act logically, we do not want them to act like humans and we also do not want to build an artificial brain to understand how human…

  • Semantic Web Technologies – RDF

    Summary of week one for the course Knowledge Engineering with Semantic Web Technologies 2015 by Harald Sack at OpenHPI. The first week covers the basic principles of the technologies for the semantic web, especially RDF, which is one of the languages you can use for encoding information semantically. The basic principle behind the technologies are…

  • Named Entity Recognition

    Named Entities are nouns that – simply speaking – refer to something in the real world. An example would be the noun Los Angeles, which refers to a city in the US, unlike the noun apple, which describes a fruit. For tasks in information retrieval it is very useful to know whether a noun refers…

  • Query Clarity

    In IR you got your query and from this query you get a result. But how good is this result? One way to measure this is by calculating the clarity of the result. The clarity means – generally speaking – how much the found results differ. You can measure this when you look a the…