Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Integrated Search Framework for Leveraging the Knowledge-Based Web
  Ecosystem   The explosion of information constrains the judgement of search terms
associated with Knowledge-Based Web Ecosystem (KBWE), making the retrieval of
relevant information and its knowledge management challenging. The existing
information retrieval (IR) tools and their fusion in a framework need
attention, in which search results can effectively be managed. In this article,
we demonstrate the effective use of information retrieval services by a variety
of users and agents in various KBWE scenarios. An innovative Integrated Search
Framework (ISF) is proposed, which utilises crawling strategies, web search
technologies and traditional database search methods. Besides, ISF offers
comprehensive, dynamic, personalized, and organization-oriented information
retrieval services, ranging from the Internet, extranet, intranet, to personal
desktop. In this empirical research, experiments are carried out demonstrating
the improvements in the search process, as discerned in the conceptual ISF. The
experimental results show improved precision compared with other popular search
engines.

13
The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
24
The categories of this paper are: dg-ga
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
23
The categories of this paper are: solv-int
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The categories of this paper are: hep-ex
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The categories of this paper are: nucl-th
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The categories of this paper are: physics
34
The categories of this paper are: chem-ph
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The categories of this paper are: bayes-an
35
The categories of this paper are: mtrl-th