Information Retrieval List Digest 359 (June 9, 1997) URL = http://hegel.lib.ncsu.edu/stacks/serials/irld/irld-359 IRLIST Digest ISSN 1064-6965 June 9, 1997 Volume XIV, Number 21 Issue 359 ********************************************************** I. QUERIES 1. Bayesian Classifiers II. JOBS 1. Business Knowledge Repository Manager Sought 2. Chadwyck-Healey, Inc.: Abstractor/indexer III. NOTICES A. Publications 1. Digital Imaging Notebook 2. ACRL/CNI Internet Education Project-Call for Submissions B. Meetings 1. MUC-7 and MET-2 IV. PROJECTS C. Fellowships, Grants, & Scholarships 1. UMI Doctoral Dissertation Award E. Miscellaneous 1. Web Substitution for Reference Works 2. Candidates for _Beyond Bookmarks_ ********************************************************** I. QUERIES I.1. Fr: V. Dasigi Re: Bayesian Classifiers Is any Bayesian classifier code available for ftp? Any kind of Bayesian inference network code will serve my purpose. Any information / pointers will be greatly appreciated. Thanks. --- Venu Dasigi (dasigiv@sacredheart.edu dasigi@shu.sacredheart.edu) ********************************************************** II. JOBS II.1. Fr: Mary Susan Coffin Re: Business Knowledge Repository Manager Sought Rae Wyatt & Associates, consulting firm specializing in the recruitment of information science/library managment professionals has been retained for the following search: International Management Consulting Firm is currently searching for a Manager for their Business Knowledge Repository Management Group. The qualified candidate will have extensive (5-10 years) thesaurus building, construction, management, indexing, index editing, original cataloging and classification design. Heavy interaction with both domestic and international consultants as well as the members of the information organization consisting of five tiers, and 130 members. This firm offers flex time, opportunity to use ideas, and career growth. Position is newly created, therefore, this person will be influential in the "design" and scope of the job. Managerial level which offers minimum bonus of 7-11%, 3 weeks vacation first year, opportunity for international travel. Qualified candidate should contact: Susan Coffin Rae Wyatt & Associates 23896 Redfern Rd., Columbia Station, OH 44028 216-236-3034 phone 216-236-3042 fax MSCOFFIN@AOL.COM ********** II.2 Fr: Sylvia Prickett Re: Digital Imaging Notebook The Department of Preservation and Conservation, Cornell University Library, is pleased to announce the publication of Digital Imaging for Libraries and Archives by Anne R. Kenney and Stephen Chapman. This 200 page guide represents a greatly expanded version of the training manual used in Cornell's series of digital imaging workshops. It begins with a theoretical overview of the key concepts, vocabulary, and challenges associated with digital conversion of paper- and film-based materials. This is followed by an overview of the hardware/software, communications, and managerial considerations associated with implementing a technical infrastructure to support a full imaging program. Additional chapters present information on the creation of databases and indexes, the implications of outsourcing imaging services, converting photographs and film intermediates, issues associated with providing long-term access to digital information, and suggestions for continuing education. The guide is issued in loose-leaf format to facilitate updates and includes two formula cards designed to assist librarians and archivists with determining conversion, storage, and access requirements. FOR COMPLETE INFORMATION, contact Pamela Clearwater, B38 Olin Library, Cornell University, Ithaca, NY 14853, 607-255- 9841 or pac8@cornell.edu ********** III.A.2. Fr: Dency Kahn Re: ACRL/CNI Internet Education Project-Call for Submissions *** CALL FOR SUBMISSIONS *** ACRL/CNI Internet Education Project The Emerging Technologies in Instruction Committee of the ACRL Instruction Section, in conjunction with the Coalition for Networked Information, is sponsoring a WWW site which identifies exemplary user education and training materials supporting the use of the Internet and other networked information resources. The primary goal of the project is to provide a common focal point for librarians and others involved in the instruction and delivery of networked information to display and share model instructional materials specifically designed for the selection and evaluation of information in a networked environment. Materials selected for inclusion on the site will be considered the professional standard. Of particular interest to the committee are materials which demonstrate innovative and creative use of technology in instruction and those which successfully integrate the selection and evaluation of both print and electronic resources. For submission information go to this URL: http://www.cwru.edu/orgs/cni/base/callfor.html#guidelines For examples of projects currently included on the site, go the following URL: http://www.cwru.edu/orgs/cni/base/acrlcni.html Please contact Keith Morgan, NCSU Libraries (kamorgan@unity.ncsu.edu) for further information. An expanded history of the project is acccessible on the Emerging Technologies Webpage at: http://www.lib.ncsu.edu/staff/kamorgan/etech.html ********** III.B.1. Fr: Elaine Marsh Re: MUC-7 and MET-2 * * * CALL FOR PARTICIPATION * * * AND MESSAGE UNDERSTANDING CONFERENCE (MUC-7) Evaluation: 2-6 March 1998 Conference: April 1998 Washington, D.C. area Sponsored by: The Human Language Systems Tipster Text Program of the Defense Advanced Research Projects Agency Information Technology Office (DARPA/ITO) The Message Understanding Conferences have provided on ongoing forum for assessing the state of the art and practice in text analysis technology and for exchanging information on innovative computational techniques in the context of fully implemented systems that perform realistic tasks. The evaluations have provided researchers and potential sponsors and customers with a quantitative means to appreciate the strengths and weaknesses of the technologies, and the results reported on at the conferences have sparked customer interest in the potential utility of the technologies. The Seventh Message Understanding Conference (MUC-7) will provide an opportunity for both new and experienced MUC participants to participate in a flexible evaluation, suited to development needs and abilities. It will provide: * Opportunity to select among a variety of tasks: Named Entity (NE), Coreference (CO), Template Element (TE), Template Relationship (TR) and Scenario Template (ST). * Two tasks for evaluating component technologies (NE and CO), which use Standard Generalized Markup Language (SGML) as output format * Redesigned Information Extraction (IE) task, with two domain-independent subtasks (TE and TR) separated from domain-dependent subtask (ST). * Emphases of ST task on portability and on minimizing human resources required to participate in the evaluation. * Three experimental tracks to explore new data sets and tasks. Participation in MUC-7 is actively sought from both new and veteran organizations. With the new and redesigned evaluation tasks, MUC-7 offers a good opportunity for organizations to try out new ideas for handling NLP problems that are of both scientific and practical interest without having to participate in the entire range of tasks. The conference itself will consist primarily of presentations and discussions of innovative techniques, system design, and test results. There will also be an opportunity for participants to demo their evaluation systems. Attendance at the conference is limited to evaluation participants and to guests invited by the DARPA Tipster Text Program. A conference proceedings, including test results, will be published. SCHEDULE: 1 JULY 97: Application deadline for participation 15 JULY 97: Release of NE, CO, TE, TR, and example ST training data and scorer 8 SEPTEMBER 97: Release of Dry Run ST task definition, training data, and scorer 29 SEPT - 3 OCT 97: MUC-7 Dry Run (all participants) 6 FEBRUARY 98: Release of formal test ST task definition, training data, and scorer 2-6 MARCH 98: MUC-7 Formal Run 7-9 APRIL 98: 7th Message Understanding Conference (tentative dates) DATA AND TASK DESCRIPTION: The texts to be used for system development and testing are news service articles from the New York Times News Service, supplied by the Linguistic Data Consortium (LDC) [ldc@ldc.upenn.edu]. Training, dry run, and test data for all the tasks are extracted from a corpus of approximately 158,000 articles. Sets of articles to be used in the MUC-7 evaluation will be distributed via ftp upon payment of a one time fee of $100 and upon signing of a user agreement for the use of these texts. The user agreement can be retrieved from the LDC catalog (Evaluation Agreements). The URL for the LDC home page is: http://www.ldc.upenn.edu. FIVE SEPARATE EVALUATIONS WILL BE CONDUCTED AS PART OF MUC-7. The definition of these evaluations has been worked out since late 1996 by members of the MUC-7 Planning Committee. The evaluations may be viewed as capturing the results of text analysis at various levels of aggregation of information: * Named Entity (NE) requires only that the system under evaluation identify each bit of pertinent information in isolation from all others. * Coreference (CO) requires connecting all references to "identical" entities. * Template Element (TE) requires grouping entity attributes together into entity "objects." * Template Relationship (TR) requires identifying relationships between template elements. * Scenario Template (ST) requires identifying instances of a task-specific event and identifying event attributes, including entities that fill some role in the event; the overall information content is captured via interlinked "objects." * Experimental tracks using new data sets are variants of the NE task. The task definition is the same as for the basic NE task, but the texts are different. * Experimental track involving a new task is a simplified version of the TE task. KEY THINGS TO NOTE ABOUT EACH EVALUATION TASK: * NE covers named organizations, people, and locations, along with date/time expressions and monetary and percentage expressions; it requires production of SGML tags as output. * CO covers noun phrases (common and proper) and personal pronouns that are "identical" in their reference; it requires production of SGML tags as output; the tags for coreferring strings form "equivalance" classes, which are used for scoring. * TE covers organizations, persons, and artifacts, which are captured in the form of template "objects" consisting of a predefined set of attributes. * TR covers relationships among template elements, including location and time relationships, which are captured in the form of template "relations" consisting of a relationship and the template elements participating in that relationship. TR is a new task for MUC-7. * ST covers a particular scenario, which is kept secret until one month prior to testing in order to focus on system portability; however, the generalized structure of a scenario template is predefined, and example scenarios are available for participants to examine. This task is domain dependent. * Tasks for the experimental tracks are derived from NE and TE. There is a World Wide Web site that allows automated testing following the rules of MUC-6. It will be of particular value to new participants. The website is password protected and you need to be licensed to access the ACL/DCI disk from the LDC to obtain a password from chinchor@gso.saic.com. MUC-6 articles were taken from the ACL/DCI disk. An anonymous ftp site will be available for downloading MUC-7 related material. This CFP and the MUC-7 Participant Agreement are available to the public from the ftp site. Each participant (after signing the LDC User Agreement and a MUC-7 participation agreement) will receive a password to download the MUC-7 data, definitions, and scoring software at the release times noted above. The URL of the website is http://muc.saic.com. The ftp site is ftp.muc.saic.com. TEST PROTOCOL AND EVALUATION CRITERIA: MUC-7 participants may elect to do one or any combination of tasks and experimental tracks. Participants will have access to shared resources such as the training texts and annotations/templates, task documentation, and scoring software. All MUC-7 participants are encouraged to participate in the dry run and take advantage of material available. The formal test will be conducted during the first week in March. It will be carried out by the participants at their own sites in accordance with a prepared test procedure and the results submitted to the ftp site for official scoring with the software prepared by SAIC for MUC-7. Test sets used for the evaluations will consist of 100 texts, with subsets for some of the tasks. There will be different data sets for the dry run and the formal test. Systems will be evaluated using recall and precision metrics (all tasks), F-measure (all tasks), and error-based metrics (all tasks except CO). The computation of these metrics is based on the scoring categories of correct, partial, incorrect, spurious, missing, and noncommittal. MUC-7 participants will be able to familiarize themselves with the evaluation criteria through usage of the evaluation software, which will be released along with the training data. INSTRUCTIONS FOR RESPONDING TO THE CALL FOR PARTICIPATION: Organizations within and outside the U.S. are invited to respond to this call for participation. By the time of the actual testing phase of the evaluation, systems must be able to accept texts without manual preprocessing, process them without human intervention, and output annotations (NE, CO) or templates (TE, TR, ST) in the expected format. Organizations should plan on allocating approximately two person-months of effort for participation in the evaluation and conference. It is understood that organizations will vary with respect to experience with SGML text annotation, information extraction, domain expertise/engineering, resources, contractual demands/expectations, etc. Recognition of such factors will be made in any analyses of the results. Organizations wishing to participate in the evaluation and conference must respond by July 1, 1997 by submitting a short statement of interest via email and a signed copy of the MUC-7 participation agreement via surface mail. 1. The statement of interest should be submitted via email to marsh@aic.nrl.navy.mil and should include the following: a. Evaluation task(s) (choose one or more) * Named Entity * Conference * Template Element * Template Relationship * Scenario Template b. Primary point of contact. Please include name, surface and email addresses, and phone and fax numbers. c. Does your site have a copy of the MUC-6 proceedings? 2. The participation agreement can be downloaded from the anonymous ftp site (ftp.muc.saic.com). A signed copy should be sent by surface mail to Elaine Marsh, NRL - Code 5512, 4555 Overlook Ave., SW, Washington, D.C. 20375-5337, USA. If some questions cannot be deferred until the deadline for responding to this call for participation has passed, you may send them by email to Elaine Marsh (marsh@aic.nrl.navy.mil), WITH COPIES TO Ralph Grishman (grishman@cs.nyu.edu) and Nancy Chinchor (chinchor@gso.saic.com) to ensure that your message receives a timely response from one of us. ================================================== * * * CALL FOR PARTICIPATION * * * SECOND MULTILINGUAL ENTITY TASK EVALUATION Evaluation: 2-6 March 1998 Conference: (coincides with MUC-7) April 1998 Washington, D.C. area Sponsored by: The Human Language Systems Tipster Text Program of the Defense Advanced Research Projects Agency Information Technology Office (DARPA/ITO) The Second Multilingual Entity Task Evaluation (MET-2) is the outcome of a successful experimental run of MET in the spring of 1996. MET-1 was an evaluation of systems that marked Named Entities in Japanese, Chinese, and Spanish newspaper articles and the results were reported anonymously during one day of the Tipster Phase II 24-month meeting. Please refer to the Proceedings for further information on MET-1. MET-2 will be run in conjunction with MUC-7. The Message Understanding Conferences have provided an ongoing forum for assessing the state of the art and practice in English text analysis technology and for exchanging information on innovative computational techniques in the context of fully implemented systems that perform realistic tasks in English. The evaluations have provided researchers and potential sponsors and customers with a quantitative means to appreciate the strengths and weaknesses of the technologies, and the results reported on at the conferences have sparked customer interest in the potential utility of the technologies and their extension to foreign languages. While the Seventh Message Understanding Conference (MUC-7) will provide an opportunity for both new and experienced MUC participants to participate in an evaluation of a range of tasks, MET-2 will focus on the Named Entity task *only* with future plans for higher level information extraction. The languages for MET-2 will be Japanese and Chinese with an additional, experimental track using Thai. Participation in MET-2 is actively sought from both new and veteran organizations. With an established test methodology and multilingual task descriptions, MET-2 offers a good opportunity for organizations to try out new ideas for handling NLP problems in a multilingual setting that are of both scientific and practical interest. The portion of the MUC-7 conference devoted to MET-2 will consist primarily of presentations and discussions of innovative techniques, system design, and test results in the multilingual area. There will also be an opportunity for participants to demo their evaluation systems. Attendance at the conference is limited to evaluation participants and to guests invited by the ARPA Tipster Text Program. MET-2 will be represented in the MUC-7 conference proceedings, including the reporting of participant test results with the sites specified in the cases of Japanese and Chinese. The Thai results will be reported anonymously due to the involvement of some participants in the dataset preparation. SCHEDULE: 1 JULY 97: Application deadline for participation 15 July 97: Release of training data and scorer 8 SEPTEMBER 97: Release of Dry Run training data and scorer 29 SEPT - 3 OCT 97: MET-2 Dry Run (all participants) 6 FEBRUARY 97: Release of formal test training data and scorer 2-6 MARCH 98: MET-2 Formal Run 7-9 APRIL 98: 7th Message Understanding Conference (tentative dates) with MET-2 session included DATA AND TASK DESCRIPTION: The texts to be used for system development and testing are news articles In Japanese, Chinese, and Thai from various sources listed below and supplied by arrangement with the Linguistic Data Consortium (LDC). These articles will be distributed to MET-2 participants. * Japanese: Kyodo, Nikkei * Chinese: Xinhua, Peoples Daily, China Radio Broadcast * Thai: partially unknown at this time The Named Entity task (NE) covers named organizations, people, and locations, date/time expressions, and numeric expressions limited to monetary amounts and percentages. As output, it requires production of SGML tags within the supplied texts. The English task definition for MUC-7 has been updated to coincide with the general MET-2 task definition. There is a World Wide Web site that allows automated testing following the rules of MET-1, an anonymous ftp site containing this call for participation and the MET-2 participation agreement, and a password-protected ftp site which will provide MET-2 data, definitions (general and language-specific), and scoring software for download at release times as noted above. The URL of the website is http://muc.saic.com. The anonymous ftp site is ftp.muc.saic.com. The MET-1 website is password-protected and you need to obtain permission from Tom Keenan (tomkeena@romulus.ncsc.mil) to be given a password by Nancy Chinchor (chinchor@gso.saic.com). MET-2 participants will automatically be given passwords to access the password-protected ftp site containing MET-2 data and resources. The anonymous ftp site is available at all times to everyone. TEST PROTOCOL AND EVALUATION CRITERIA: MET-2 participants may elect to do one or any combination of languages. Participants will have access to shared resources such as the training texts and annotations, task documentation, and scoring software. The test set used for all languages will consist of 100 texts. All MET-2 participants are encouraged to participate in the dry run and take advantage of material available. The formal test will be conducted during the first week in March. It will be carried out by the participants at their own sites in accordance with a prepared test procedure and the results submitted to the password-protected ftp site for official scoring by SAIC. Systems will be evaluated using recall and precision metrics, F-measure, and error-based metrics. The computation of these metrics is based on the scoring categories of correct, partial, incorrect, spurious, missing, and noncommittal. MET-2 participants will be able to familiarize themselves with the evaluation criteria through usage of the evaluation software, which will be released along with the training data. INSTRUCTIONS FOR RESPONDING TO THE CALL FOR PARTICIPATION: Organizations within and outside the U.S. are invited to respond to this call for participation. Minimal requirements include development by the time of the test of a system that can accept texts without manual preprocessing, process them without human intervention, and output annotations in the expected format. Organizations should plan on allocating approximately two person-months of effort for participation in the evaluation and conference. It is understood that organizations will vary with respect to experience with SGML text annotation, resources, contractual demands/expectations, etc. Recognition of such factors will be made in any analyses of the results. Organizations wishing to participate in the evaluation and conference must respond by July 1, 1997 by submitting a short statement of interest via email and a signed copy of the MET-2 participation agreement via surface mail. 1. The statement of interest should be submitted via email to chinchor@gso.saic.com and should include the following: a. Language(s) (choose one or more) * Japanese * Chinese * Thai b. Primary point of contact. Please include name, surface and email addresses, and phone and fax numbers. 2. The participation agreement can be downloaded from the ftp site. A signed copy should be sent by surface mail to Nancy Chinchor, Science Applications International Corporation, 10260 Campus Pt. Dr. M/S A2-F, San Diego, CA 92121, USA. Questions concerning this call for participation may be sent by email to Nancy Chinchor (chinchor@gso.saic.com) WITH A COPY TO Tom Keenan (tomkeena@romulus.ncsc.mil). ********************************************************** IV. PROJECTS IV.C.1. Fr: Michele Devine Re: UMI Doctoral Dissertation Award UMI is the new sponsor of the ASIS Doctoral Dissertation Award - renamed the UMI DOCTORAL DISSERTATION AWARD The award now carries with it a $1,000 cash award as well as up to $500 cash reimbursement for travel expenses to the ASIS Annual Conference. (Nov. 1-6, Washington, DC) The submission deadline for this award has been extended until June 15th, 1997. FOLLOWING IS A COPY OF THE GUIDELINES. IF YOU HAVE ANY QUESTIONS, PLEASE LET ME KNOW. Michele Devine ASIS Awards 301 495-0900 The UMI Doctoral Dissertation Award was established in 1974 and is administered by the Information Science Education Committee. Beginning in 1997, University Microfilms International (UMI) undertook sponsorship of the award. 1. Nature of the Award 1.1 The award shall consist of an award of $1000, a cash reimbursement for travel expenses, not to exceed $500, and a certificate. The winner is given the opportunity to present a summary of their doctoral research at the Doctoral Forum, scheduled during the ASIS annual meeting. 1.2 If runners-up are designated, they will receive letters of "honorable mention," signed by the ASIS President, but shall not share in the award. 1.3 Travel reimbursements will be made 4-6 weeks after receipts are submitted to HQ. 2. Purpose of the Award 2.1 The purpose of this award is to recognize outstanding recent doctoral candidates whose research contributes significantly to an understanding of some aspect of information science. The award is intended to encourage participation of new Ph.D.s in the activities of a professional association by providing a forum for presentation of their research and assisting them with some travel support. 3. Eligibility 3.1 Participation in the UMI Doctoral Dissertation Award is limited to those who have completed their doctorate since May of the year preceding that in which the award will be made. 3.2 Participation is not restricted to ASIS members. 3.3 Dissertations submitted shall fall within the scope of information science, including, but not limited to, any of the following areas of investigation: . automated language processing . classification research . computerized retrieval services . education for information science . information analysis and evaluation . information policy . information services . information storage and retrieval . international information issues . library automation and networks . management of information . office information systems . information generation and publishing . storage and retrieval technology . user-online interaction 4. Administration 4.1 The UMI Doctoral Dissertation Award is sponsored by UMI and the Society-at-Large and is administered by the Information Science Education Committee. 5. Nominations 5.1 The competition for this award and how to enter the competition shall be publicized in ASIS publications. 5.2 The Jury Chair shall write letters to the Deans/Directors of schools granting the Ph.D. in library/information science and related disciplines, inviting them to encourage recent graduates of their programs to enter the competition. There is no limit on the number of entries from a particular school. 5.3 The nomination package shall consist of either the entire dissertation, a substantial (article-length) summary, or a major article, suitable for publication. In addition, the nomination package shall include a letter of endorsement from the nominee's dissertation advisor. 5.4 Nominations shall be addressed to UMI Doctoral Dissertation Award and mailed to ASIS Headquarters by June 1. 5.5 ASIS Headquarters shall maintain an archival file of all entries and send an appropriate number of copies to the Jury. 6. Jury Committee 6.1 The UMI Doctoral Dissertation Award Jury shall be composed of seven members who serve for one year. The Jury Chair is appointed by the Chair of the Information Science Education Committee. The other five members of the Jury are selected from ASIS membership by the Chair of the Information Science Education Committee. 6.2 Members of the Jury may be reappointed once. 6.3 In the absence of qualified nominations, the Jury may act as a nominating committee by soliciting additional nominations and extending the deadline for nominations. 7. Selection of the Awardee 7.1 The Jury shall base its evaluation of the dissertation research submitted on the following criteria: (a) Importance of the topic to theory development and/or practical applications in information science; (b) soundness of methodology; (c) organization and clarity of the presentation; and (d) quality of data (when applicable). 7.2 The Jury shall use the following rating scale to score each of the criteria: 1 = outstanding 2 = good 3 = average 4 = below average 5 = poor 7. Selection of the Awardee (Continued) 7.3 The Jury shall rate each submission using the UMI Doctoral Dissertation Evaluation Form and return all evaluations to the Jury Chair. 7.4 The Jury Chair shall compile the results and rank the contestants. 7.5 There will be one winner selected. 7.6 In the event that the Jury decides that none of the submitted dissertations should be recognized, no award may be given that year. 7.7 The Jury Chair shall communicate the jury's decision to UMI, the ASIS President, the Chair of the Awards and Honors Committee, the chair of the Information Science Education Committee, and the ASIS Executive Director. 7.8 The Jury Chair shall provide a 50-250 word abstract, stating why the award was given. This abstract will be used to publicize the award. Material for this abstract can be taken from the voting rationales provided by the members of the jury. 7.9 The Jury Chair shall submit the nomination packets and the results of jury deliberations to ASIS Headquarters, after selection of the awardee(s) has been completed. 7.10 The ASIS Executive Director shall notify the author(s) of the winning dissertation(s), in advance of the ASIS annual meeting. 8. Presentation of the Award 8.1 The award shall be presented to the winners by the Jury Chair at the end of the Doctoral Forum, held during the ASIS annual meeting. 8.2 The Chair of SIG ED shall moderate the Doctoral Forum and introduce the speakers. It is desirable, in any introductory remarks to describe the selection criteria briefly and acknowledge the jury members for their contributions. 9. Publicity 9.1 The award shall be publicized in the Bulletin of the American Society for Information Science, in the newsletters of the SIGs and/ or chapters with which the winner is affiliated. Publicity is the responsibility of ASIS Headquarters. 10. Deadlines 10.1 Appointments to the Jury Committee shall be made in advance of the award year and not later than the start of the ASIS annual meeting. 10.2 Nominations must be submitted to ASIS Headquarters by June 1. All nominations submitted shall be acknowledged upon receipt. 10.3 Selection shall be made and the ASIS President, the Chair of the Information Science Education Committee, the chair of the Awards and Honors Committee, and the ASIS Executive Director shall be notified by 90 days before the start of the ASIS annual meeting. ********** IV.E.1. Fr: Gerry McKiernan Re: Web Substitution for Reference Works Web Substitution for Reference Works For a future study, I am greatly interested in learning about libraries that have conscientiously (or unconscientiously [:-]) decided to substitute Web access to appropriate Reference works in place of the purchase of a print equivalent or analog, or alternative electronic product (e.g., CD-ROM, diskette, etc.). I am _not_ interested in efforts that offer Web access as an _additional_ copy for works that are also made available in print or other electronic formats locally. I am particularly interested in those libraries that have formally incorporated such access within their homepage(s) and which have also cataloged such remotely accessible resources within their OPACs. As always, information about any and all efforts will be much appreciated. Regards, Gerry McKiernan Curator, CyberStacks(sm) Iowa State University Ames IA 50011 gerrymck@iastate.edu ********** IV.E.2. Fr: Gerry McKiernan Re: Candidates for _Beyond Bookmarks_ _Beyond Bookmarks_ Candidates With the official publication of the DESIRE report on _The Role of Classification Schemes in Internet Resource Description and Discovery_ at URL: http://www.ukoln.ac.uk/metadata/DESIRE/classification/ I am soliciting additional Web sites that have adopted a standard (or non-standard) classification scheme for inclusion in _Beyond Bookmarks: Schemes for Organizing the Web_, my registry of of WWW sites that have applied or adopted standard classification schemes or controlled vocabularies to organize or provide enhanced access to Internet resources. The URL for _Beyond Bookmarks_ is: http://www.public.iastate.edu/~CYBERSTACKS/CTW.htm As always, information about candidate sites would be much appreciated. Regards, Gerry McKiernan Curator, CyberStacks(sm) Iowa State University Ames IA 50011 gerrymck@iastate.edu http://www.public.iastate.edu/~CYBERSTACKS/ ********************************************************** IRLIST Digest is distributed from the University of California, Division of Library Automation, 300 Lakeside Drive, Oakland, CA. 94612-3550. Send subscription requests and submissions to: NCGUR@UCCMVSA.UCOP.EDU Editorial Staff: Clifford Lynch calur@uccmvsa.ucop.edu Nancy Gusack ncgur@uccmvsa.ucop.edu The IRLIST Archives is set up for anonymous FTP. Using anonymous FTP via the host ftp.dla.ucop.edu, the files will be found in the directory /data/ftp/pub/irl, stored in subdirectories by year (e.g., data/ftp/pub/irl/1993). Search or browse archived IR-L Digest issues on the Web at: http://www.dcs.gla.ac.uk/idom/irlist/ These files are not to be sold or used for commercial purposes. Contact Nancy Gusack for more information on IRLIST. 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