Semantic Innovations, LLC offers a variety of services for digital content management using semantic technologies. More...

Semantic Innovations, LLC has consulted government contractors, Semantic Web technology firms, digital asset management providers, image analysts, etc. More...

Semantic Innovations, LLC specalizes in advising, developing and deploying semantic technololgies. These technologies are enabled by emerging knowledge reprentation standards such as RDF and OWL, which provide a formal representation language to model your data. This allows the semantics, or meaning, of your data to be specified, allowing advanced searching and browsing using logical reasoning.

Semantic Innovations, LLC offers consulting services in a variety of areas using semantic technologies including digital media content management, knowledge representation and reasoning, semantic relationship ranking and discovery, etc. Below are publications and talks that are related to some of the areas we offer consulting in.

Papers and Talks

Digital Media Management using Semantic Technologies

A Flexible Approach for Managing Digital Images on the Semantic Web, Christian Halaschek-Wiener, Andrew Schain, Jennifer Golbeck, Michael Grove, Bijan Parsia, and Jim Hendler. In Proceedings of the Fifth International Workshop on Knowledge Markup and Semantic Annotation, 2005
The Semantic Web: Concepts, Deployment Options and Software Demonstration, Jayne Dutra and Christian Halaschek-Wiener. Talk presented at 11th Digital Asset Management Symposium, 2005
Photostuff - An Image Annotation Tool for the Semantic Web , Christian Halaschek-Wiener, Jennifer Golbeck, Andrew Schain, Michael Grove, Bijan Parsia, and Jim Hendler. In Proceedings of the Fourth International Semantic Web Conference, 2005

OWL and Description Logics

Classification maintenance for expressive description logics, Bijan Parsia, Christian Halaschek-Wiener, and Evren Sirin. Submitted to the 10th International Conference on Principles of Knowledge Representation and Reasoning, 2005

Ranking Relationships on the Semantic Web

A Flexible Approach for Analyzing and Ranking Complex Relationships on the Semantic Web, Boanerges Aleman-Meza, Christian Halaschek-Wiener, I. Budak Arpinar, Cartic Ramakrishnan, and Amit Sheth. In IEEE Internet Computing (Journal), Special Issue on Information Discovery: Needles and Haystacks, 2005
Semantic Association Identification and Knowledge Discovery for National Security Applications, Amit Sheth, Boanerges Aleman-Meza, I. Budak Arpinar, Christian Halaschek-Wiener, Cartic Ramakrishnan, Clemens Bertram, Yashodhan Warke, David Avant, F. Sena Arpinar, Kemafor Anyanwu, and Krys Kochut, Journal of Database Management, 2005
Template Based Semantic Similarity for Security Applications , Boanerges Aleman-Meza, Christian Halaschek-Wiener, Satya Sanket Sahoo, Amit Sheth, and I. Budak Arpinar. In IEEE Intl. Conf. on Intelligence and Security Informatics, 2005
Context-Aware Semantic Association Ranking, Boanerges Aleman-Meza, Christian Halaschek-Wiener, I. Budak Arpinar, and Amit Sheth. In First International Workshop on Semantic Web and Databases, 2003
Collective Knowledge Composition in a Peer-to-Peer Network: A Survey for Peer-to-Peer Applications, Boanerges Aleman-Meza, Christian Halaschek-Wiener, I. Budak Arpinar, In Book Chapter, Encyclopedia of Database Technologies and Applications, 2004
Discovering and Ranking Semantic Associations over a Large RDF Metabase, Christian Halaschek-Wiener, Boanerges Aleman-Meza, I. Budak Arpinar, Amit Sheth. In the 30th Int. Conf. on Very Large Data Bases, 2004

XML Databases

Native XML Databases Today, Christian Halaschek-Wiener and John A. Miller, In XML Journal, 2003