Wen Ruan, TextWise
Ronald M. Kaplan, Powerset division of bing
Christian F. Hempelmann, RiverGlass, Inc.
Riza Berkan, hakia
Semantic Search technology in the Semantic Web community is often understood as retrieval of knowledge from tagged data such as RDF sources, which require substantial formatting and markup to realize. Understanding unstructured query and document text and conducting searches according to their meaning is another approach, exemplified by linguistically rooted semantic matching, ontological knowledge-based semantic interpretation, and statistically based semantic similarity search.
This panel will look at different ways to tackle semantic search as a problem of text understanding. Powerset division of bing’s natural-language processing engine does deep syntactical analysis to determine the meaning of a query or a sentence. Hakia relies on a language-independent ontology model and an ontology-based English lexicon to translate text into a representation of its meaning. RiverGlass has developed an ontological semantic approach to search and text analytics, emphasizing the in-context, linguistic meaning of textual content in order to return truly relevant results in response to information requests. TextWise’s Semantic Signature matching looks for similarities between a query and text at the topic level.Read More →
The current generation of Semantic Web languages is well suited to link data and to define domain concepts and relationships. However, real-world applications that operate on those linked data models typically need higher expressivity than what is provided by OWL and RDF Schema alone. SPIN is an open-source framework that supports the use of SPARQL to define business rules and constraint checks on Semantic Web models with object-oriented modeling techniques. This simple yet powerful mechanism makes it possible to define self-describing domain models that can then be used by generic software components such as user interface renderers, schema mappers and workflow engines. Instead of hard-coding behavior in languages like Java, SPIN makes it possible to declaratively define complex business rules and processes. SPIN can also be used to define new higher-level modeling languages with built-in semantics.
- Sets the stage with a quick review of SPARQL (incl. CONSTRUCT keyword)
- Introduces SPIN as a mechanism to attach SPARQL queries to class definitions
- Shows how to define new SPARQL functions and reusable query templates with SPIN
- Demonstrates the use of SPIN for tasks ranging from unit conversion to computer games
- Shows how the ideas of SPIN give rise to a new software development paradigm around self-describing linked data models
Scott Brinker, ion interactive, inc.
Brooke Aker, Expert System USA
Amiad Solomon, Peer39
Amit Kumar, Dapper
Greg Stuart, gregstuart.com
This moderated panel discusses "semantic advertising" in the market today, with representatives from:
* An ad network using semantic technology (Peer39)
* a company using semantic technology to dynamically generate advertising content (Dapper)
* A company using semantic technology to dynamically feed ad content on a mobile platform (Expert System)
* an expert in advertising and former CEO of the Interactive Advertising Bureau (Greg Stuart)
The focus of this session is to give business people and technologists an understanding of how semantic technology is being used in online advertising today. This is a broad survey of the different ideas labeled as "semantic advertising" — presented by the people leading those initiatives — both to see what they have in common and how they’re different.Read More →
David Wood, Zepheira
Persistent URLs (PURLs) have operated on the Internet since 1995, and were re-architected and described at SemTech in 2008. Part of the re-architecture was to add semantic capabilities to PURLs so that metadata descriptions of a resource may be computationally separated from resources themselves. The Open Source community at http://purlz.org maintains and extends the PURL code base.Read More →
Othar Hansson, Google, Inc.
Kavi Goel, Google, Inc.
In this "Late-Breaking News" session, representatives from Google, Inc. discuss the company’s recent announcements about semantic web technologies and ongoing initiatives.Read More →
Cirrus Shakeri, SAP Labs
In this talk we will report on using semantic technologies in implementing tools for enterprise information management and decision support systems. We have built proof-of-concept software tools that assist knowledge workers in making sense of information within the context of some business processes.Read More →