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Web search engines have become indispensable tools for finding information online effectively. As the range of information, context and users of Internet searches has grown, the relationship between the search query, search interest and user has become more tenuous. Not all users are seeking the same information, even if they use the same query term. Thus, the quality of search results has, at least potentially, been decreasing. Search engines have begun to respond to this problem by trying to personalise search in order to deliver more relevant results to the users. A query is now evaluated in the context of a user's search history and other data compiled into a personal profile and associated with statistical groups. This, at least, is the promise stated by the search engines themselves. This paper tries to assess the current reality of the personalisation of search results. We analyse the mechanisms of personalisation in the case of Google web search by empirically testing three commonly held assumptions about what personalisation does. To do this, we developed new digital methods which are explained here. The findings suggest that Google personal search does not fully provide the much-touted benefits for its search users. More likely, it seems to serve the interest of advertisers in providing more relevant audiences to them.

You may know Wordnik from subscribing to its Word of the Day service... Now comes something new on the API front: Word Graph is the latest result of some three years of algorithm development around analyzing the digital text that Wordnik has collected from partners, to understand the relationship between words in order to derive meaning. 

According to the W3C, "The Media Annotations Working Group invites implementation of the Candidate Recommendation Ontology for Media Resources 1.0.

Do you think enterprises and other organizations can significantly benefit from using Linked Data?  The answer is a clear YES. 

What got Talis going on its Linked Data marketplace that launched in public beta in June, dubbed Kasabi? The recognition that there had to be a business model in making RDF data as easy to use as possible - from publishing it to querying it, all in a well-supported and sustainable fashion for providers and consumers alike.

The most frequently asked question about Primal is, Where do you get the interests data? It's a fair question. If Primal is the most comprehensive source of open interests data in the world, it begs the question of where we get this valuable data. (1)

For some time now, Structured Dynamics (SD) has been touting the unique advantages of ODapps, or ontology-driven applications [1]. ODapps are modular, generic software applications designed to operate in accordance with the specifications contained in one or more ontologies. The relationships and structure of the information driving these applications are based on the standard functions and roles of ontologies (namely as domain ontologies), as supplemented by UI and instruction sets and validations and rules. When these supplements are added to standard ontology functions, we collectively term them adaptive ontologies [2].

LinkedEducation.org is an open platform aimed at further promoting the use of Linked Data for educational purposes.

Since the open data movement has shown no declining signals, several hubs, or data markets, have been released. This was a direct consequence of the need for ways to search all different data sets

This site is a demonstrator of the Information Workbench, a platform for Linked Data application development. Designed as a self-service platform, the Information Workbench provides you with all the tools and features you need to quickly build your personal Linked Data applications.

SemTech is the preferred industry platform for exhibitors to announce product launches and breaking news. Attendees will have the rare opportunity to view products and services from top industry insiders.

Developers can find excellent resources at productontology.org, home of The Product Types Ontology: High-precision identifiers for product types based on Wikipedia.

Ontotext