"The company is Israel-based MindCite, and its semantic-based software lets homeland security agencies and intelligence agencies collect, integrate, research, and analyze diverse types of information, from structured formats like databases and unstructured formats such as text, to solve crimes, crack cases and get alerts. The company's systems are installed in over a dozen countries, though not stateside yet. "
"Mainstream businesses increasingly are taking the semantic web seriously.
Consider the U.K. Governments Technology Program's Market Blended Insight (MBI) project. While funded under that program as a three-year applied research project, it includes as part of its consortium the marketing departments of ParcelForce Worldwide, British Gas Business, AXA, Clydesdale and Yorkshire Bank (NAGE), 3M and pH Group. Having these partners on board helps ensure that the work it is doing to help companies improve their marketing activities has application in real-world scenarios. "
The reductionist approach: applied in this way it's to facilitate "findability" where otherwise information discovery and retrieval might be 'too' long. The dilemma is that once the machine finds potential useful material, we are left to decide on its pertinence or relevance.
The goal of the system
is to make all marketing information and insights generated by
the man/machine interaction available to the user, so that there
is a convergence towards a "conservation of information".
The reductionist approach: applied in this way it's to facilitate "findability" where otherwise information discovery and retrieval might be 'too' long. The dilemma is that once the machine finds potential useful material, we are left to decide on its pertinence or relevance.
The network
in Figure 7 becomes very complex with a 100-fold increase in the
amount of information.
It's easy to extrapolate how 'real' materials will carry such levels of complexity that the semantic processing of it will quickly become impossible: the embedded structure is too great for current processing strategies, so work arounds are what everyone is doing. But we need now strategies and tools that improve upon the Google search model: we don't have the time to properly mine the material to ensure the quality of our work. We don't have the time to wait until computer technologies are 100's of times more powerful than at present.
This document concerns the management of the output of insight generators, the software agents utilized in the insight generation systems. The solution to managing these reports involves the automatic creation of a repository for all materials generated by various insight generators; this repository allows the user to navigate through this continually growing space of marketing reports, gaining new insights about the relationships between items of interest and adding new insights in the process. The goal of the system is to make all marketing information and insights generated by the man/machine interaction available to the user, so that there is a convergence towards a "conservation of information". To use a geometric metaphor, the goal is to make the user equidistant from all information at all times, as illustrated below.
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The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.
The European Academy for Semantic-Web Education, completely in English, involves studying one year at one of the above universities, and completing the second year with a stay in another of the partner universities. After this, the student may obtain, together with the European degree, a national Master of Science degrees for each of the visited universities (e.g., in Italy this would be the Laurea Specialistica degree).
In this article, we'll analyze the trends and technologies that power the Semantic Web. We'll identify patterns that are beginning to emerge, classify the different trends, and peak into what the future holds.
We want to make all the world's content more accessible, interoperable and valuable. Some call it Web 2.0, Web 3.0, the Semantic Web or the Giant Global Graph - we call our piece of it Calais.
Calais is a rapidly growing toolkit of capabilities that allow you to readily incorporate state-of-the-art semantic functionality within your blog, content management system, website or application.
Semantic Web applications offer great potential to student modellers who have traditionally struggled with issues of re-use, portability and tight coupling with learning applications. In this paper, we describe our use of ontology languages and elearning standards to develop a loosely coupled and portable student modelling architecture used in a large-scale, distributed production learning environment.
Ontotext is a leading developer of core semantic technology.
We have applications in multiple areas, among which: Web-mining, EAI, KM, BI, Media Research, and Life Sciences.
Our brochure is avaliable here.
More about us ...
General purpose ontologies and domain ontologies make up the infrastructure of the Semantic Web, which allow for accurate data representations with relations, and data inferences. In our approach to multimodal dialogue systems providing question answering functionality (SMARTWEB), the ontological infrastructure is essential. We aim at an integrated approach in which all knowledge-aware system modules are based on interoperating ontologies in a common data model. The discourse ontology is meant to provide the necessary dialogue- and HCI concepts. We present the ontological syntactic structure of multimodal question answering results as part of this discourse ontology which extends the W3C EMMA annotation framework and uses MPEG-7 annotations. In addition, we describe an extension to ontological result structures where automatic and context-based sorting mechanisms can be naturally incorporated.
To say that the Web has affected many societies and cultures is to understate its impact along
several dimensions. The Web is a technology which not only affects, but in some sense
encompasses societies, cultures, and certainly institutions. Higher education -- at least in the
cluster of ways in which it is practiced in the US, the EU, and Japan -- is one such bundle of
social institutions affected and encompassed by the Web.
While it is possible to overstate or mis-state the Web's effect, whether on higher education or
on other institutional clusters, the encompassing reach of the technology, used in every country
on Earth by literally tens of millions of users, makes it clear that the Web truly has a revolutionary
effect. However, exploring what the Web has affected and continues to effect is a
necessary element of any accurate estimation of how the newly emerging Semantic Web may,
in its turn, effect societies, cultures, and institutional clusters like higher education.
We present an approach to hybrid semantic Web service matching that complements logic based reasoning with approximate matching based on syntactic IR based similarity computations. The hybrid matchmaker, called OWLS-MX, applies this approach to services and requests specified in OWL-S. Experimental results of measuring performance and scalability of different variants of OWLS-MX show that under certain constraints logic based only approaches to OWLS service I/O matching can be significantly outperformed by hybrid ones.