ABSTRACT
A part of the biosystematics literature is currently being digitized and manually marked up with XML. Fast search on such documents shall be feasible. But marking up such documents incurs high costs, and biologists would like to know the value of such an activity in advance. Deploying standard XML database technology in a straightforward way is not feasible, because of two characteristics of biosystematics documents. The first one is that descriptions of taxa are related, i.e., a more specific taxon should inherit from a more general one. The combination of inheritance with information-retrieval mechanisms gives rise to difficulties addressed in this article. The second issue is the frequent occurrence of very specific technical terms in such documents, i.e., geographical information or biological terms. To investigate the characteristics of the search in the presence of such difficulties, we have designed and implemented a respective system, based on relational database technology. We use a collection of XML documents that mimics the characteristics of biosystematics documents, as we will explain. We propose two query-evaluation alternatives and compare them by means of performance experiments. It turns out that our techniques can administer the envisioned corpus of documents efficiently and cope with those problems at the same time.
- Fuhr, Norbert; Grossjohann, Kai: XIRQL: A Query Language for Information Retrieval. In: Proceedings of the 24th Annual International Conference on Research and Development in Information Retrieval. New York: September 2001, P. 172--180. Google ScholarDigital Library
- Salton, Gerard; Wong, A.; Yang, C. S.: A Vector Space Model for Automatic Indexing. In: Communications of the ACM. New York: November 1975, P. 613--620. Google ScholarDigital Library
- Grust, Torsten: Accelerating XPath location steps. In: Proceedings of the 2002 ACM SIGMOD international conference on Management of data. New York: 2002, P. 109--120. Google ScholarDigital Library
- Deutsch, Alin; Fernandez, Mary; Suciu, Dan: Storing semistructured data with STORED. In: Proceedings of the International Conference on Management of Data (SIGMOD '99). New York: June 1999, P. 431--442. Google ScholarDigital Library
- Mitra, Mandar; Singhal, Amit; Buckley, Chris: Improving Automatic Query Expansion. In: Proceedings of the 21st Annual International ACM (SIGIR '98). August 1998, P. 206--214. Google ScholarDigital Library
- Fagin, Ronald: Combining Fuzzy Information from Multiple Systems. Proceedings of the Fifteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems. June 1996. P. 216--226. Google ScholarDigital Library
- Ciaccia, Paolo; Patella, Marco; Zezula, Pavel: Processing Complex Similarity Queries with Distance-Based Access Methods. In: Proceedings of the 6th International Conference on Extending Database Technology, Valencia, Spain, March 23-27, 1998. Springer LNCS 1998. P. 9--23. Google ScholarDigital Library
- Schmidt, Albrecht, et al.: XMark: A Benchmark for XML Data Management.Google Scholar
- Grossman, David A.; Frieder, Ophir: Information Retrieval: Algorithms and Heuristics; Kluwer Academic Publishers 1998. Google ScholarDigital Library
- Grabs, Torsten: Storage and Retrieval of XML Documents with a Cluster of Database Systems. Ph.D. dissertation, April 2003Google Scholar
- World Wide Web Consortium: XQuery 1.0: A Query Language for XML. http://www.w3.org/TR/xquery, November 2002Google Scholar
- World Wide Web Consortium: XML Path Language (XPath) Version 1.0. http://www.w3.org/TR/xpath, November 1999Google Scholar
- Abiteboul, Serge; Quass, Dallan; McHugh, Jason; Widom, Jennifer; Wiener, Janet: The Lorel Query Language for Semistructured Data. In: International Journal on Digital Libraries, 1997, P. 68--88Google ScholarCross Ref
- Chamberlin, Don; Robie, Jonathan; Florescu, Daniela: Quilt: An XML Query Language for Heterogeneous Data Sources. In: Selected Papers - The World Wide Web and Databases, Third International Workshop WebDB, Dallas, Texas, USA, 2000. Springer LNCS 2001, P. 1--25 Google ScholarDigital Library
Index Terms
- Database support for species extraction from the biosystematics literature: a feasibility demonstration
Recommendations
Domain-specific keyphrase extraction
CIKM '05: Proceedings of the 14th ACM international conference on Information and knowledge managementDocument keyphrases provide semantic metadata characterizing documents and producing an overview of the content of a document. They can be used in many text-mining and knowledge management related applications. This paper describes a Keyphrase ...
Comments