Semantic Web Company

(Original post taken from “About the Social Semantic Web“)

A lot of activities around Linking Open Data (“LOD”) and the associated data sets which are nicely visualised as a “cloud” are going on for quite a while now. It is exciting to see how the rather academic “Semantic Web” and all the work which is associated with this disruptive technology can be transformed now into real business use cases.

What I have observed in the last few months, especially in business communities, is the following:

• “Linked Data” sounds interesting for the business people because the phrase creates a lot of associations in a second or two; also the database crowd seems to be attracted by this web-based approach of data integration
• “Web of Data” is somehow misleading because many people think that this will be a new web which replaces something else. Same story with the “Semantic Web”
• “Linking Open Data” sounds dangerous and not trustworthy to many companies

For insiders it is clear, that the “openness” of data, especially in commercial settings, can be controlled and has to be controlled in many cases i.e. by defining the right licensing models. But here we are still at the beginning as a workshop at ISWC 2009 has illustrated.

Anyway, looking at the characteristics of Linked Data Flows, they can be one-way or mutual. In some cases data from companies will be put into the cloud, and can be opened up for many purposes, in other use cases it will stay inside the boundaries. In other scenarios only (open) data from the web will be consumed and linked with corporate data, but no data will be exposed to the world (except the fact, that data was consumed by an entity).

And of course: On many other occasions datasets and repositories will be opened up partly depending on the CCs (or similar, not yet defined attributes) and the underlying privacy regulations one wants to use.

This makes clear that LOD / Linking Open Data is just one detail of a bigger picture. Since companies (and governments) play a crucial role to develop the whole infrastructure, we need to draw a new picture that illustrates the various Linked Data Flows in a better way:

Concluding from this the best thing would be to talk about Linked Data in general and just refer to Linking Open Data in the right context. Despite better knowledge for business people the term  “open” is still associated with “free” and “dubious provenance”. And given the fact that hardly anybody has given hard evidence on the ROI of open business models the “open argument” does count little in a time of decreasing economic prosperity.

So what would be critical to get the Linked Data thing running is to provide the corresponding business and licensing models for your Linked Data strategy. But this includes having a good understanding of the assets you want to capitalize. Given the fact that metada assets are still a novel and vastly unexplored business field which so far lack a regulated supply and demand structure there are still lots of structural obstacles that hinder the uptake of Linked Data. Providing more of the same in a laissez faire mode – like TimBL critisized at this year’s Web 2.0 Summit – might be inspiring for the in-crowd, but it might not be sufficient to build a linked data business.

From November 11 – 13, 2009 this will be one of the big issues at the 5th International Conference on Topic Maps taking place in Leipzig/Germany. When asked about the relationship between TM and SemWeb conference organizer Lutz Maicher says:

With the vision of the web of data Topic Maps and the Semantic Web move closer over time. Anywhere URIs represent subjects, structured statements are gathered around them. In this context I see subj3ct.com as an interesting ventures. This recently launched service provides URIs for 15 million subjects to be used in structured data. Naturally, linked data hubs like dbpedia or geonames.org are part of it. The crowd is invited to contribute to this collection, also the Topic Maps Lab provides several feeds to register new URIs. Subj3ct.com turns out to be an infrastructure technology for Web 3.0 applications, regardless whether they are based on Topic Maps or other Semantic Web technologies.

Through this convergence the uniqueness of each technology sharpens. Reasoning is the strong point of the Semantic Web. But the strength of Topic Maps are semantic portals and the global federation of facts around subjects. Bringing together all and even contradictory information about each subject – and not building reasoning-ready consistent models of the world – is built into the genes of Topic Maps.

Read the full interview here.

There’s a lot to know about semantic standards, languages, technologies and their application, so last week I attended TopQuadrant’s first European training from Oct 5th to 9th in Amsterdam.

We kicked off with Eddy Vanderlinden elaborating on the lessons he learned from 30 years of work in the financial sector. He outlined how improvements could be achieved by using data models relying on semantic web standards. You can read about his ideas in this essay.

TQ’s chief scientist Dean Allemang then continued with his talk “Enabling Creativity at the Edge”. “The edge” refers to the boundary between an information system and the real world, where the end users of a system work. As business needs change faster and faster, the people working at the edge need to be able to adapt the company’s applications on their own and shape them to their everyday needs.

Dean Allemang

Nowadays end user often achieve this kind of creativity on the edge by using self-made spreadsheets. The problem with that is their lack of interoperability. These data from different spreadsheets, databases, reports, etc. are often connected through business processes that rely on repetitive and error prone human processing, like copying things from a spreadsheet to a database, creating a report and pasting its result into another system, and so on.

The result is a complex system with many heterogenous parts and an organisation that cannot possibly know what it knows.

As a solution Dean proposed to “think outside the table” and go beyond the relational database way of orgranising data. This of course can be achieved by integrating the data using semantic technologies. TopQuadrant’s software offers possibilities to do just that, and makes it possible to create highly customizable dashboards and applications that all rely on the same data.

During the following days we learned about the ins and out of using semantic standards and languages and tried out TopBraid tools in several hands-on excercises. The TopBraid Suite is a very powerful, commercial toolkit. It includes TopBraid Composer, Live and Ensemble. Composer is a semantic web modeling and application developement tool, that uses the Eclipse framework. TopBraid Live is a server for semantic applications built with TopBraid Ensemble. Ensemble is a graphical application assembly toolkit, that enables end users to create custom apps that run in a browser and use RDF data and data models – thereby allowing for the above mentioned “creativity at the edge”.

I am very impressed with the capabilities of these tools, they enable the user to realize manifold possibilities that come with using semantic web standards – and that without programming. You can see some of these tools in action and learn about applying semantic standards in a series of webcasts from Semantic Universe. For the latter topic you might also attend one of our webinars.

On the last day Dean coverd several case studies, like connecting ontologies to legacy data sources (using e.g. D2RQ inside Composer), applying semantic technologies to the customer service management of a larger retailer or using ontologies in Federal Enterprise Architecture.

All in all I am very happy to have attended TopQuadrant’s training and hope they will establish a successful series of trainings in Europe just as they did in the US.

On accasion of the upcoming 4th International Conference on Semantic and Digital Media Technologies (SAMT ‘09) from December 2 – 4, 2009 in Graz/Austria, Werner Bailer from Joanneum Research gave us a short interview about state of the art in multimedia semantics.  When asked about the Multimedia and the Semantic Web he says:

There have been a number of proposals for multimedia ontologies and mappings of multimedia vocabularies (cf. the excellent report from the W3C MM Semantics XG), differing in complexity and expressivity. Thus the W3C has chartered a working group to develop an ontology and API for multimedia content on the Web. The group is developing a lightweight core set of metadata properties and an API specification for accessing these properties, which may come from metadata documents in different standards. Thus mappings to many relevant standards have also been specified. The set of metadata properties will be formalized for interoperability with the Semantic Web. A W3C recommendation is expected in 2010.

Read the full interview here.

Recently we held a kick off meeting at FTW Vienna for our Smart Metering project called SeSaMe. This acronym stands for SEmantic SmArt Metering and adresses the use of computational semantics to improve energy consumption in terms of efficiency and personal awareness. (It has nothing to do with the well known triple store from Aduna, but maybe we will use it.)

The high-level societal goal of the project SeSaMe is to facilitate home owners or building managers in saving energy within their environments and in optimizing their energy costs, while actively controlling and maintaining their preferred quality of living. Therefore an international consortium of five partners was formed bringing together various competencies and fields of expertise.

We have set up a project blog, where you will find more information on the topic soon.