Leave a comment
Nowadays the Internet as an unlimited source of information tempts millions of users who would like to take advantage of it. Like in case of other common problems number of tools was created to help to deal with this one, commonly referred to as web crawling.
Source: http://viralpatel.net
It is no surprise that at Software Mind we also encountered this issue. Generally speaking our task was to search given set of forums and retrieve information about topics that fulfil certain conditions. It is worth noting that we had to cope with the forums that had very diverse structure which greatly hampered the task.
O
ne of the WeKnowIt project achievements is the ClustTour application − an online city exploration application that helps users identify interesting spots in a city by use of photo clusters corresponding to landmarks and events.
The main goal of ClustTour is to enable tourists to explore new places by use of an interactive map and photo clusters centered on Points of Interest. The application relieves tourists from the information overload commonly present in tourist information sites and tries to answer a simple question: “What are the interesting things to see and do in the place I would like to visit?” (more…)
Source: http://www.umnet.com
Nowadays, the amount of data gathered by companies is huge and constantly growing. Unfortunately, some of these data has highly complicated structure or even is completely structureless, therefore it’s hardly persistable using ordinary RDBMSs. That’s where triple stores shine. However, great flexibility comes with certain drawbacks like performance issues. Thus, whenever lots of data is going to be stored in your triple store, make sure that inadequate performance won’t kill your system.
Luckily, even if you don’t know the answer to the question outlined in the title there are tools that can help you to inquire this knowledge. One of which is Berlin SPARQL Benchmark (BSBM) that aims to (more…)
When things look good, you can always make them better. For example by adding DSL which shields developers from complex internal structure. This is exactly what Cascading project provides for MapReduce Hadoop algorithm.
The aim of the WeKnowIt Image Recognizer mobile application is to provide u
ser with the detailed information on the location and name of a POI on a picture (i.e. picture taken by user). The application uses services developed within the WeKnowIt project in order to:
- recognize object (POI – Point On Interest) on picture,
- determine its geolocation,
- determine tags associated with this POI,
Recent Posts
Tags
clusttour
COMM
conference
dbpedia
desktop
elmo
event
FOAF
FP7
freebase
Hadoop
jena
jenabean
kde
linux
MapReduce
meeting
Metaweb Query Language
microblogging
microsoft
multimedia
NEM Summit 2010
ontology
ontology-object mapping
owl
Pig
RDF
RDF/XML
semantic search
semantic web
semaplorer
serialization
sesame
SMOB
Software Mind
SPARQL
Tim Berners-Lee
triples
triple store
Turtle
Twitter
URI
web browser
WeKnowIt
wikipedia
