-
Jones, K.S.: Information retrieval and artificial intelligence (1999)
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- Date
- 6. 3.1997 16:22:15
- Source
- Artificial intelligence. 114(1999) nos.1/2, S.257-281
-
Smith, L.C.: Artificial intelligence and information retrieval (1987)
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- Source
- Annual review of information science and technology. 22(1987), S.41-77
-
Macskassy, S.A.; Hirsch, H.; Banerjee, A.; Dayanik, A A.: Converting numerical classification into text classification (2003)
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- Date
- 6. 3.1997 16:22:15
- Source
- Artificial Intelligence. 143(2003), S.51-77
-
Adorni, G.; Poggi, A.: Object-oriented programming languages : a natural framework for distributed artificial intelligence (1997)
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- Source
- Encyclopedia of library and information science. Vol.59, [=Suppl.22]
-
Maungwa, T.; Fourie, I.: Competitive intelligence failures : an information behaviour lens to key intelligence and information needs (2018)
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- Abstract
- Purpose Competitive intelligence failures have devastating effects in marketplaces. They are attributed to various factors but seldom explicitly to information behaviour. This paper addresses causes of competitive intelligence failures from an information behaviour lens focussing on problems with key intelligence and information needs. The exploratory study was conducted in 2016/2017. Managers (end-users) identify key intelligence needs on which information is needed, and often other staff members seek the information (proxy information seeking). The purpose of this paper is to analyse problems related to key intelligence and information needs, and make recommendations to address the problems. Design/methodology/approach The study is placed in a post-positivism research paradigm, using qualitative and limited quantitative research approaches. In total, 15 participants (competitive intelligence professionals and educators/trainers originating from South Africa and the USA) contributed rich data through in-depth individual interviews. Findings Problems associated with articulation of information needs (key intelligence needs is the competitive intelligence term - with a broader scope) include inadequate communication between the person in need of information and the proxy information searcher; awareness and recognition of information needs; difficulty in articulation, incomplete and partial sharing of details of needs. Research limitations/implications Participant recruitment was difficult, representing mostly from South Africa. The findings from this exploratory study can, however, direct further studies with a very understudied group. Practical implications However, revealed valuable findings that can guide research. Originality/value Little has been published on competitive intelligence from an information behaviour perspective. Frameworks guiding the study (a combination of Leckie et al.'s 1996 and Wilson's, 1981 models and a competitive intelligence life cycle), however, revealed valuable findings that can guide research.
- Date
- 20. 1.2015 18:30:22
-
DeRaedt, L.: Logical settings for concept-learning (1997)
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- Date
- 6. 3.1997 16:22:15
22. 1.1999 18:56:45
- Source
- Artificial intelligence. 95(1997) no.1, S.187-201
-
AAAI 1997 Spring symposium series reports (1997)
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- Abstract
- Summarizes 7 symposia that were conducted: artificial intelligence in knowledge management; computational models for mixed initiative interaction; cross-language text and speech retrieval; intelligent integration and use of text, image video, and audio corporate; natural language processing for the WWW; ontological engineering; and qualitative preferences in deliberation and practical reasoning
- Content
- Reports on the American Association for Artificial Intelligence (AAAI) 1997 Spring Symposium Series on 24-26 March at Stanford University in Stanford, CA
- Date
- 22. 1.1999 19:01:49
-
Yazdani, M.; Maeling, S.: Communicating through pictures (1995)
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- Date
- 30. 3.1996 19:22:06
- Source
- Artificial intelligence review. 9(1995) nos.2/3, S.205-213
-
Houston, R.D.; Harmon, E.G.: Re-envisioning the information concept : systematic definitions (2002)
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- Abstract
- This paper suggests a framework and systematic definitions for 6 words commonly used in dthe field of information science: data, information, knowledge, wisdom, inspiration, and intelligence. We intend these definitions to lead to a quantification of information science, a quantification that will enable their measurement, manipulastion, and prediction.
- Date
- 22. 2.2007 18:56:23
22. 2.2007 19:22:13
-
Hatakama, H.; Terano, T.: ¬A multi-agent model of organizational intellectual activities for knowledge management (1996)
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- Abstract
- In this paper, authors propose a computational model of cooperative intellectual activities in an organization using the concepts of distributed artificial intelligence. In this model, we assume incomplete communication of knowledge among agents, and examine methods for pragmatic cooperative decision making and learning. We have implemented two typical variations of the model, the Specialists-Model and the Generalists-Model. Using the two variations, we carry out the simulation of dynamic activities of decision making and learning. Then, based an the model and these simulations, we systematically examine methods of knowledge management for effective augmentation of organizational intelligence.
- Source
- Knowledge management: organization competence and methodolgy. Proceedings of the Fourth International ISMICK Symposium, 21-22 October 1996, Netherlands. Ed.: J.F. Schreinemakers
-
Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004)
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- Content
- Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
- Date
- 8. 1.2013 10:22:32
-
Imam, I.F.; Kodratoff, Y.: Intelligent adaptive agents (1997)
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- Abstract
- Reports on the Workshop on Intelligent Adaptive Agents, part of the 13th National conference on Artificial Intelligence (AAI-96) which presented state-of-the art methodologies for research and development of intelligent adaptive agents and defined initial boundaries, criteria and acceptable characteristics of the field. Discusses definitions of an agent, summarizes issues discussed at the workshop, and the presented talks and presentations
- Date
- 22. 1.1999 18:46:03
-
Robin, J.; McKeown, K.: Empirically designing and evaluating a new revision-based model for summary generation (1996)
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- Date
- 6. 3.1997 16:22:15
- Source
- Artificial intelligence. 85(1996) nos.1/2, S.135-179
-
Riloff, E.: ¬An empirical study of automated dictionary construction for information extraction in three domains (1996)
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- Date
- 6. 3.1997 16:22:15
- Source
- Artificial intelligence. 85(1996) nos.1/2, S.101-134
-
Basili, R.; Pazienza, M.T.; Velardi, P.: ¬An empirical symbolic approach to natural language processing (1996)
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- Date
- 6. 3.1997 16:22:15
- Source
- Artificial intelligence. 85(1996) nos.1/2, S.59-99
-
Tambe, M.; Gmytrasiewicz, P.: AAAI-96 Workshop on Intelligent Modeling (1997)
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- Content
- Reports on the Workshop on Agent Modeling, held as part of the 13th National conference on Artificial Intelligence 1996
- Date
- 22. 1.1999 18:50:30
-
Golding, A.R.; Rosenbloom, P.S.: Improving accuracy by combining rule-based and case-based reasoning (1996)
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- Date
- 6. 3.1997 16:22:15
- Source
- Artificial intelligence. 87(1996) nos.1/2, S.215-254
-
Ram, A.; Santamaria, J.C.: Continuous case-based reasoning (1997)
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- Date
- 6. 3.1997 16:22:15
- Source
- Artificial intelligence. 90(1997) nos.1/2, S.25-77
-
Kohno, T.: Error repair and knowledge acquisition via case-based reasoning (1997)
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- Date
- 6. 3.1997 16:22:15
- Source
- Artificial intelligence. 91(1997) no.1, S.85-101
-
Lee, E.: Cataloguing (and reference) at the crossroads (1996)
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- Abstract
- Alerts librarians to directions in research in artificial intelligence relevant to information retrieval which will change current technology and user expectations and consequently the requirements for data provision and access at the base level. Predicts a reevaluation of priorities for using the expertise of cataloguers (and reference librarians) and of cataloguing methodologies. Debates the future of cataloguing, arguing for the need to monitor developments in adjacent research areas and to plan with these in mind
- Source
- Cataloguing Australia. 22(1996) nos.3/4, S.68-75
