Foundations of statistical natural language processing
Foundations of statistical natural language processing
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Information Retrieval
DBXplorer: A System for Keyword-Based Search over Relational Databases
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Challenges in enterprise search
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
An exploration of axiomatic approaches to information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Formal models for expert finding in enterprise corpora
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Semantic term matching in axiomatic approaches to information retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Enterprise search behaviour of software engineers
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Combining fields in known-item email search
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Secure search in enterprise webs: tradeoffs in efficient implementation for document level security
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Retrieval of discussions from enterprise mailing lists
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
People search in the enterprise
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Discover: keyword search in relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficient IR-style keyword search over relational databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Introduction to Information Retrieval
Introduction to Information Retrieval
Database Systems: The Complete Book
Database Systems: The Complete Book
Non-local evidence for expert finding
Proceedings of the 17th ACM conference on Information and knowledge management
Modeling multi-step relevance propagation for expert finding
Proceedings of the 17th ACM conference on Information and knowledge management
Data clouds: summarizing keyword search results over structured data
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Sources of evidence for vertical selection
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A study of selective collection enrichment for enterprise search
Proceedings of the 18th ACM conference on Information and knowledge management
Enterprise people and skill discovery using tolerant retrieval and visualization
ECIR'07 Proceedings of the 29th European conference on IR research
iCollaborate: harvesting value from enterprise web usage
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Understanding the semantic structure of noun phrase queries
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Automatic metadata extraction from multilingual enterprise content
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Using weighted tagging to facilitate enterprise search
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Entity centric query expansion for enterprise search
Proceedings of the 21st ACM international conference on Information and knowledge management
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Search over enterprise data is essential to every aspect of an enterprise because it helps users fulfill their information needs. Similar to Web search, most queries in enterprise search are keyword queries. However, enterprise search is a unique research problem because, compared with the data in traditional IR applications (e.g., text data), enterprise data includes information stored in different formats. In particular, enterprise data include both unstructured and structured information, and all the data center around a particular enterprise. As a result, the relevant information from these two data sources could be complementary to each other. Intuitively, such integrated data could be exploited to improve the enterprise search quality. Despite its importance, this problem has received little attention so far. In this paper, we demonstrate the feasibility of leveraging the integrated information in enterprise data to improve search quality through a case study, i.e., finding relevant information of certain types from enterprise data. Enterprise search users often look for different types of relevant information other than documents, e.g., the contact information of per- sons working on a product. When formulating a keyword query, search users may specify both content requirements, i.e., what kind of information is relevant, and type requirements, i.e., what type of information is relevant. Thus, the goal is to find information relevant to both requirements specified in the query. Specifically, we formulate the problem as keyword search over structured or semistructured data, and then propose to leverage the complementary unstructured information in the enterprise data to solve the problem. Experiment results over real world enterprise data and simulated data show that the proposed methods can effectively exploit the unstructured information to find relevant information of certain types from structured and semistructured information in enterprise data.