EyePlorer developed by German company Vionto.com visualizes knowledge graphs (k-graphs) derived from Wikipedia content that can be interactively explored. The knowledge graph consists of eyespots representing concepts that are connected to your topic. For better orientation those eyespots are clustered. If you want to know how any eyespot is connected to your topic, just click …
Category Archives: Semantic Search
SemantNet announced today that its acclaimed headup™ Semantic Web plugin now supports the new Fire Eagle™ and BOSS (Build your Own Search Service) technologies from Yahoo! Headup is a new plugin for the Mozilla® Firefox® Web browser that enables true semantic capabilities for the first time within any Web page. Headup data is displayed fully …
What’s exactly relevance? Google finds the following explanation of the term: Relevance describes how closely the contents of an information source match the topics. [source] Obviously, the definition is rather vague but I wasn’t able to find anything more exact or specific (if there is one). Ironically, relevance has become the most important term in …
I came across this video podcast episode of PBS’s Wired Science with Luis von Ahn, the guy who came up with “Captcha“, those fuzzy looking words that you have to enter on websites sometimes as proof that you are human. “Captcha” was developed to prevent automation (usually via scripting) of a process, such as the …
Swoogle, the Semantic web search engine, is a research project carried out by the ebiquity research group in the Computer Science and Electrical Engineering Department at the University of Maryland. It’s an engine tailored towards finding documents on the semantic web. The whole research paper is available here. Semantic web is touted as the next …
The phenomenon of personalized search is an important step forward toward the semantic web. In its own way, personalized search creates a mini semantic web that is based on the preferences and behavior over time of its users. Personalization is the direction in which search engines need to move in order to deliver relevant search …
Lexxe, the natural language processing search engine also adds the power of clustering to provide results with subset cluster. Drill down into clusters lets the engine further select the links relevant with the context mentioned by the cluster. The makers designed Lexxe with the aim to answer short queries by collecting content from the unstructured …
Backed by the experience of leading linguistic experts and technology that takes into consideration, ontology, morphology and synonymy, CognitionSearch, the semantic engine from Cognition technologies touts to have the perfect recipe to nail “meaning” in search. Launching in the vertical domains of legal services, medical and health sciences, Cognition search intends to gain traction and …
Xerox’s FactSpotter isn’t a mainstream search tool that will debut as a challenge to present day search engines. But the features packed into it may well pave the way for an ideal search tool that is built on the concept of connecting data rather than collecting data. Collecting data is what mainstream engines do today …
Relevancy of results has been the dominant theme in my semantic search posts so far. And in this piece I will be discussing about SenseBot, a search tool that has the added feature of summarizing results. Very often, the intent of a user is to obtain brief information on a concept or a keyword. In …