eBizSearch: a niche search engine for e-business

ABSTRACT

Niche Search Engines offer an efficient alternative to traditional search engines when the results returned by general-purpose search engines do not provide a sufficient degree of relevance. By taking advantage of their domain of concentration they achieve higher relevance and offer enhanced features. We discuss a new niche search engine, eBizSearch, based on the technology of CiteSeer and dedicated to e-business and e-business documents. We present the integration of CiteSeer in the framework of eBizSearch and the process necessary to tune the whole system towards the specific area of e-business. We also discuss how using machine learning algorithms we generate metadata to make eBizSearch Open Archives compliant. eBizSearch is a publicly available service and can be reached at [3].

REFERENCES

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• 2: CiteSeer homepage, http://www.citeseer.com.
• 3: eBizSearch homepage, http://www.ebizsearch.org.
• 4: eBizSearch OAI base URL, http://www.ebizsearch.org/oai.
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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL

Additional Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)

  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
  I.7 DOCUMENT AND TEXT PROCESSING

General Terms:
Algorithms, Design, Experimentation, Standardization

Keywords:
OAI, SVM, citeseer, digital library, e-business, eBizSearch, machine learning, metadata, search engine, tagging