Cited By
View all- Perez Martinez JBerlanga RAramburu MPedersen T(2008)Integrating Data Warehouses with Web DataIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2007.19074620:7(940-955)Online publication date: 1-Jul-2008
An evaluation of the incorporation of a semantic network into a multidimensional retrieval engine
Pages 572 - 575
Abstract
This paper describes a new method for incorporating a hierarchical category dimension into an Information Retrieval framework. The approach is to use the synonym sets and the hyponym ("is-a") relations defined within Wordnet in order to derive a conceptual hierarchical category dimension. The hierarchical nature of a category dimension not only provides an overview of a set of documents but also facilitates the effectiveness and the efficiency of searching documents. An evaluation is performed on two different types of models and the multidimensional approach shows a significant reduction in the number of page accesses over a large document collection.
References
[1]
S. Berchtold, D. Keim, H. Kriegel. The X-tree: An Indexing Structure for High-Dimensional Data. In Proceedings of the 22nd VLDB Conf, pages 28--39, 1996.
[2]
M. Buenaga, J. Gómez Hidalgo, B. Díaz Agudo. Using WordNet to Complement Training Information in Text Categorization. In Proceedings of RANLP-97, Stanford, 1997.
[3]
R. P. Chaves. WordNet and Automated Text Summarization. In Proceedings of the 6th Natural Language Processing Pacific Rim Symposium, NLPRS, Tokyo, Japan, 2001.
[4]
D. Lawrie, W. B. Croft, and A. Rosenberg. Finding Topic Words for Hierarchical Summarization. In Proceedings of SIGIR'01, pages 349--357, 2001.
[5]
V. Gaede, O. Gunther. Multidimensional Access Methods. ACM Computing Surveys, 30(2):170--231, 1998.
[6]
M. A. Hearst. Automated Discovery of WordNet relations, in Wordnet: an electronic lexical database, Christiane Fellbaum(Ed.), MIT Press.
[7]
A. Henrich, H. Six, P. Widmayer. The LSD tree: spatial access to Multidimensional point and non point objects. In Proceedings of VLDB '89, pages 45--53, 1989.
[8]
A. Henrich. Adapting a Spatial access Structure for Document Representations in Vector Space. In Proceedings of CIKM '96, pages 19--26, 1996.
[9]
N. Katayama, S. Satoh. The SR-tree: An Index Structure for High-Dimensional Nearest Neighbor Queries. In Proceedings of SIGMOD '97, pages 369-380, 1997.
[10]
J. Lee, D. Grossman, R. Orlandic. MIRE: A Multidimensional Information Retrieval Engine for Structured Data and Text. In Proceedings of ITCC2002, Pages 224--229, March 2002.
[11]
J. T. Robinson. The K-D-B-Tree: A Search Structure for Large Multidimensional Dynamic Indexes, In Proceedings of ACM SIGMOD on Management of Data, pages 10--18, 1981.
[12]
M. Sanderson. Deriving concept hierarchies from text. In proceedings of ACM SIGIR '99, CA USA, 1999.
[13]
S. Scott and S. Matwin. Text classification using WordNet hypernyms. In Proceedings of the COLING/ACL Workshop on Usage of WordNet in Natural Language Processing Systems, Montreal, 1998.
[14]
B. Seeger, H. Kriegel. The Buddy-tree: An Efficient and Robust Access Method for Spatial Data Base System. In Proceedings of the 16th VLDB Conf, pages 590--601, 1990.
[15]
E. M. Voorhees. Using WordNet to Disambiguate Word Senses for Text Retrieval. In Proceedings of ACM SIGIR '93, pages 171-180, Pittsburgh, 1993.
[16]
D. White and R. Jain. Similarity Indexing with the SS-tree. In Proceedings of the 12th IEEE Conf on Data Engineering, pages 516--523, 1996.
[17]
W. A. Woods. Conceptual Indexing: A Better Way to Organize knowledge, a Sun Labs Technical Report: TR-97-61. Editor, Technical Reports, 901 San Antonio Road, Palo Alto, CA, USA.
Index Terms
- An evaluation of the incorporation of a semantic network into a multidimensional retrieval engine
Recommendations
Document Retrieval Model Through Semantic Linking
WSDM '17: Proceedings of the Tenth ACM International Conference on Web Search and Data MiningThis paper addresses the task of document retrieval based on the degree of document relatedness to the meanings of a query by presenting a semantic-enabled language model. Our model relies on the use of semantic linking systems for forming a graph ...
Multidimensional models meet the semantic web: defining and reasoning on OWL-DL ontologies for OLAP
DOLAP '12: Proceedings of the fifteenth international workshop on Data warehousing and OLAPData warehouses use a multidimensional model. Based on this model, OLAP cubes enable users to analyze data. For correct OLAP analysis, multidimensional models should be checked. In particular, these models should ensure summarizability. Checking ...
Semantic image retrieval based on probabilistic latent semantic analysis
MM '06: Proceedings of the 14th ACM international conference on MultimediaContent-based image retrieval (CBIR) systems combine computer vision techniques and learning methodologies to find images in the database similar to the query images. Relevance feedback methods are introduced to the CBIR area as a tool to help the user ...
Comments
Information & Contributors
Information
Published In
November 2003
592 pages
ISBN:1581137230
DOI:10.1145/956863
- General Chair:
- Donald Kraft,
- Program Chairs:
- Ophir Frieder,
- Joachim Hammer,
- Sajda Qureshi,
- Len Seligman
Copyright © 2003 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 03 November 2003
Check for updates
Qualifiers
- Article
Conference
CIKM03: 12th International Conference on Information and Knowledge Management
November 3 - 8, 2003
LA, New Orleans, USA
Acceptance Rates
Overall Acceptance Rate 1,861 of 8,427 submissions, 22%
Upcoming Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 352Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 14 Sep 2024
Other Metrics
Citations
Cited By
View all- Perez Martinez JBerlanga RAramburu MPedersen T(2008)Integrating Data Warehouses with Web DataIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2007.19074620:7(940-955)Online publication date: 1-Jul-2008
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in