Mapping enterprise entities to text segments

Brauer, Falk; Löser, Alexander; Do, Hong-Hai

doi:10.1145/1458550.1458566

Cited by 3 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Brauer et al [13] attempt to match data from unstructured business documents to structured enterprise data stored in databases. However, while contract templates have some structure, they are not structured data in a relational database for example.…”

Section: Related Workmentioning

confidence: 99%

Characteristics of document similarity measures for compliance analysis

Sayeed

Sarkar

Deng

et al. 2009

Proceedings of the 18th ACM Conference on Information and Knowledge Management

View full text Add to dashboard Cite

Due to increased competition in the IT Services business, improving quality, reducing costs and shortening schedules has become extremely important. A key strategy being adopted for achieving these goals is the use of an asset-based approach to service delivery, where standard reusable components developed by domain experts are minimally modified for each customer instead of creating custom solutions. One example of this approach is the use of contract templates, one for each type of service offered. A compliance checking system that measures how well actual contracts adhere to standard templates is critical for ensuring the success of such an approach. This paper describes the use of document similarity measures -Cosine similarity and Latent Semantic Indexing -to identify the top candidate templates on which a more detailed (and expensive) compliance analysis can be performed. Comparison of results of using the different methods are presented.

show abstract

Section: Related Workmentioning

confidence: 99%

Characteristics of document similarity measures for compliance analysis

Sayeed

Sarkar

Deng

et al. 2009

Proceedings of the 18th ACM Conference on Information and Knowledge Management

View full text Add to dashboard Cite

show abstract

Integration of Data Warehouse and Unstructured Business Documents

Alqarni

Pardede

2012

2012 15th International Conference on Network-Based Information Systems

View full text Add to dashboard Cite

Challenging research issues in data mining, databases and information retrieval

Varde

2009

SIGKDD Explor. Newsl.

View full text Add to dashboard Cite

Data mining research along with related fields such as databases and information retrieval poses challenging problems, especially for doctoral students. The research spreads over a variety of topics such as text mining, semantic web, multilingual information analysis, heterogeneous data management, database learning, digital libraries and more. Much of this research cuts across multiple fields and presents interesting issues for discussion at conferences with a confluence of several tracks. The ACM Conference on Information and Knowledge Management provides an excellent environment for presenting such research problems spanning the three tracks of database systems, information retrieval and knowledge management. This article provides an overview of the dissertation problems presented at a Ph.D. workshop in the ACM Conference on Information and Knowledge Management. The goal of such workshops is to allow students to showcase their creative ideas at an early stage. This enables experts to critique their work and also gives the students an opportunity to exchange their thoughts with each other, besides providing excellent networking opportunities with industry and academia. This article provides an overview of the papers presented at the Ph.D workshop. It serves as a motivation for researchers to delve deeper into the innovative dissertation problems summarized here and the related work in these areas.

show abstract

Mapping enterprise entities to text segments

Cited by 3 publications

References 6 publications

Characteristics of document similarity measures for compliance analysis

Characteristics of document similarity measures for compliance analysis

Integration of Data Warehouse and Unstructured Business Documents

Challenging research issues in data mining, databases and information retrieval

Contact Info

Product

Resources

About