Enabling enterprise mashups over unstructured text feeds with InfoSphere MashupHub and SystemT

ABSTRACT

Enterprise mashup scenarios often involve feeds derived from data created primarily for eye consumption, such as email, news, calendars, blogs, and web feeds. These data sources can test the capabilities of current data mashup products, as the attributes needed to perform join, aggregation, and other operations are often buried within unstructured feed text. Information extraction technology is a key enabler in such scenarios, using annotators to convert unstructured text into structured information that can facilitate mashup operations.

Our demo presents the integration of SystemT, an information extraction system from IBM Research, with IBM's InfoSphere MashupHub. We show how to build domain-specific annotators with SystemT's declarative rule language, AQL, and how to use these annotators to combine structured and unstructured information in an enterprise mashup.

REFERENCES

• 1: Anant Jhingran, Enterprise information mashups: integrating information, simply, Proceedings of the 32nd international conference on Very large data bases, September 12-15, 2006, Seoul, Korea
• 2: IBM Infosphere MashupHub, http://www-01.ibm.com/software/data/info20/how-it-works.html
• 3: David E. Simmen , Mehmet Altinel , Volker Markl , Sriram Padmanabhan , Ashutosh Singh, Damia: data mashups for intranet applications, Proceedings of the 2008 ACM SIGMOD international conference on Management of data, June 09-12, 2008, Vancouver, Canada [doi>10.1145/1376616.1376734]
• 4: Calais, http://www.opencalais.com
• 5: Frederick Reiss , Sriram Raghavan , Rajasekar Krishnamurthy , Huaiyu Zhu , Shivakumar Vaithyanathan, An Algebraic Approach to Rule-Based Information Extraction, Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, p.933-942, April 07-12, 2008 [doi>10.1109/ICDE.2008.4497502]
• 6: SystemT, http://www.alphaworks.ibm.com/tech/systemt/
• 7: Rajasekar Krishnamurthy , Yunyao Li , Sriram Raghavan , Frederick Reiss , Shivakumar Vaithyanathan , Huaiyu Zhu, SystemT: a system for declarative information extraction, ACM SIGMOD Record, v.37 n.4, December 2008 [doi>10.1145/1519103.1519105]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.m MISCELLANEOUS

General Terms:
Design

Keywords:
feeds, information integration, mashups, text analytics