An intelligent personal spider (agent) for dynamic Internet/Intranet searching

Chen, Hsinchun; Chung, Yi-Ming; Ramsey, Marshall; Yang, Christopher C.

doi:10.1016/s0167-9236(98)00035-9

Cited by 73 publications

(13 citation statements)

References 15 publications

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“…Search engine rankings have been adopted in the most advanced intelligent libraries (Alexandrov et al 2003;Chen, 2008Chen, , 2010García-Crespo et al 2010;Garibay et al 2010;Gutwin et al 1999;Hsinchun et al 1998;Hwang et al 2010;Kaklauskas et al 2006aKaklauskas et al , 2006bOard et al 2008;Ruch et al 2007;Trnkoczy et al 2006;Vega-Gorgojo et al 2010; and tutoring systems (Ammar et al 2010;Armani et al 2000;Brusilovsky, 2000;Chen, 2009;Chen, 2011;Day et al 2007;Gasparetti et al 2009;Gunel & Asliyan, 2010;He et al 2009;Hsu et al 2010;Lucence, 2005;Phobun & Vicheanpanya, 2010;Pouliquen et al 2005;Roll et al 2011;Sarrafzadeh et al 2008) recently. As part of the Illinois Digital Library Initiative project, the research proposes an intelligent personal spider (agent) approach to Internet searching, which is grounded on automatic textual analysis, generalpurpose search and genetic algorithms (Hsinchun et al 1998). Pouliquen et al (2005) use parsing techniques to extract information from the text, and provide a proper semantic indexation which is used by a medical-specific search engine.…”

Section: Digital Libraries and Search Engine Rankingsmentioning

confidence: 99%

The Use of the Intelligent Library and Tutoring System at All Stages of a Building Life Cycle

Zavadskas

Kaklauskas

Banaitis

2011

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Intelligent Library and Tutoring System for Brita in PuBs Project (ILTS-BPP) developed by the authors have the ability to personalize, maximum-reuse, index, analyze and integrate valuable information and knowledge from a wide selection of existing sources in all building life cycle stages. A number of tightly integrated search components (text search, audio search and video search) can be used. Such search possibilities ensure that stakeholders from construction and real estate industry can take advantage of quickly retrieving the most relevant information from the available content that has already been developed and approved for different manuals, handbooks, directives, research, normative documents, databases of best practice and other sources. We suppose that the intelligent libraries and tutoring systems will become a practical knowledge storehouse and will offer intelligent opportunities for learners in construction and real estate industry. The library of e-learning modules is individualized, can operate in distributed universities and institutions and can provide learners withdifferent forms of content.

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Section: Digital Libraries and Search Engine Rankingsmentioning

confidence: 99%

The Use of the Intelligent Library and Tutoring System at All Stages of a Building Life Cycle

Zavadskas

Kaklauskas

Banaitis

2011

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“…A related research area deals with the development of evolving agents that crawl the Web to search for topical material (Hsinchun, Yi‐Ming, Ramsey, & Yang, 1998; Martin‐Bautista, Vila, & Larsen, 1999; Menczer et al, 2004). The ultimate goal of a topical crawler is similar to the goal of our research (i.e., to collect resources relevant to a topic); however, the techniques used by topical crawlers are different from the ones discussed in this article.…”

Section: Background and Related Workmentioning

confidence: 99%

Multiobjective evolutionary algorithms for context‐based search

Cecchini

Lorenzetti

Maguitman

et al. 2010

J. Am. Soc. Inf. Sci.

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Formulating high-quality queries is a key aspect of context-based search. However, determining the effectiveness of a query is challenging because multiple objectives, such as high precision and high recall, are usually involved. In this work, we study techniques that can be applied to evolve contextualized queries when the criteria for determining query quality are based on multiple objectives. We report on the results of three different strategies for evolving queries: (a) single-objective, (b) multiobjective with Pareto-based ranking, and (c) multiobjective with aggregative ranking. After a comprehensive evaluation with a large set of topics, we discuss the limitations of the single-objective approach and observe that both the Pareto-based and aggregative strategies are highly effective for evolving topical queries. In particular, our experiments lead us to conclude that the multiobjective techniques are superior to a baseline as well as to well-known and ad hoc query reformulation techniques. IntroductionContext-based search is the process of seeking material based on a topic of interest (Budzik, Hammond, & Birnbaum, 2001;Kraft, Chang, Maghoul, & Kumar, 2006;Maguitman, Leake, & Reichherzer, 2005). Consider, for example, a journalist writing an article about the H1N1 flu pandemic. The journalist has collected a small set of articles related to the topic at hand and would like to retrieve additional material from other sources. This local collection of documents is indexed and tagged as relevant while other documents are added to the index and tagged as irrelevant. The journalist can be assisted by an intelligent system that monitors the journalist's task, generates an initial set of queries, and incrementally refines these queries to better reflect the topic of interest. The initial queries could be generated directly from the journalist's context (e.g., the document that is being edited) or from a short description provided explicitly by the journalist. These initial queries will be incrementally refined based on the small collection of readily available material, which contains documents related to the H1N1 flu pandemic. In subsequent steps, the refined topical queries are used by the system to retrieve relevant material from a larger corpus containing novel material, such as the Web.The availability of powerful search interfaces makes it possible to develop a plethora of applications for information access in context such as the one described earlier. The matching and ranking mechanisms employed by existing search services are commonly fixed by the service provider. The criteria considered for retrieval change from service to service (e.g., content relevance, document popularity, document freshness, meta-information) and are typically obscure to those using the interface. The only access point to relevant material is through the submission of queries. As a consequence, learning to automatically formulate effective topical queries is an important research problem in the area of context-based search. JOURNAL ...

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“…), atsižvelgdamos į savo siekiamus tikslus ir esamas galimybes. Todėl alternatyvų įvertinimo rezultatai išsamiai atspindi visų procese dalyvaujančių suinteresuotų grupių bendrai pateiktus pradinius duomenis [6]. Nuo 1999 m. VGTU Statybos fakultete buvo pradėtos dvejų metų nuotolinio mokymo magistrantūros studijos.…”

Section: įVadasunclassified

Methods for Multivariant Analysis of Optional Modules Used in Teaching Process

Kaklauskas

Gulbinas

Krutinis

et al. 2007

Technological and Economic Development of Economy

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A lot of decision making methods used in various human activity spheres are currently developed in the world. Different countries scientists in their works did not analyze such research object as the author: tutoring process, participating stakeholders (student, lector, institution, employee) and tutoring external environment (economical, social, demographical, legal, technological, and cultural, etc.), as a whole. In this article optional subjects (modules) multiply criterion proportional evaluation and multiply criterion alternative projecting methods applicable for tutoring process are reviewed.

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An intelligent personal spider (agent) for dynamic Internet/Intranet searching

Cited by 73 publications

References 15 publications

The Use of the Intelligent Library and Tutoring System at All Stages of a Building Life Cycle

The Use of the Intelligent Library and Tutoring System at All Stages of a Building Life Cycle

Multiobjective evolutionary algorithms for context‐based search

Methods for Multivariant Analysis of Optional Modules Used in Teaching Process

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