J. Shakes, M. Langheinrich, and O. Etzioni. Dynamic reference sifting: a case study in the homepage domain. In Proceedings of WWW-6, 1997.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....system should compare images encountered on the web. While both Diogenes and Portrait are related to searching for images of people, they address very different problems. Ahoy The Homepage Finder demonstrates the application of dynamic reference sifting to searching for homepages of individuals [21]. This system is particular interesting because it uses search histories to learn the location of web pages related to an organization. It can then try to automatically guess URLs within these locations when looking for a person associated with the organization. 8 Conclusion We have presented ....

Shakes, J., Langheinrich, M. and Etzioni, O. Dynamic reference sifting: A case study in the homepage domain. Proceedings of the 1997 World Wide Web Conference.

....query to one or more general purpose search engines and eliminates the irrelevant documents from the returned ones by domain specific filters. We call this the filtering model for building domain specific search engines (Fig. 2) This is a kind of meta search engine[6] and is the basis of Ahoy [7], which is a search engine specialized for finding personal homepages. The weakness of the filtering model is its slow response to user s input. It needs to download many irrelevant pages as well as relevant ones and classify them after that. Consequently, the response time of the filtering model ....

Jonathan Shakes, Marc Langheinrich, and Oren Etzioni, "Dynamic reference sifting: a case study in the homepage domain," in Proceedings of the 6th International World Wide Web Conference(WWW6), 1997, pp. 189--200.

....Document Type Focused on Specific Topic like Agent Based Systems , but they are of the same type. This kind of crawler would also crawl on any specific types like resume, homepage, call for paper, FAQ, product, movie, papers, etc. There are some search engines in this category. Ahoy [53] is a homepage search service based on a crawler specially tuned to locate homepages. Focused crawling is a new approach to topic specific search engines, introduced by Soumen Chakrabarti et al. 13] They describe their crawler as follows: A focused crawler seeks, acquires, indexes, and ....

J. Shakes, M. Langheinrich, O. Etzioni, Dynamic reference sifting: a case study in the homepage domain, Proceedings of the Sixth International World Wide web Conference, pp.189-200, 1997.

....(url VARCHAR(1024) Populate table with destinations of links with anchor text Pattie Maes INSERT INTO candidate (url) SELECT destination url FROM link WHERE anchor = Pattie Maes ; Observe that this takes advantage of inter document structure. In contrast, the Ahoy home page finder [ Shakes et al. 1997] generates candidates by searching for the name anywhere in a document. Once we have the candidate pages, we can make use of intra document information to rank them. For example, while it is promising if the name appears anywhere on the page, it is most promising if the name appears in the title ....

Jonathan Shakes, Marc Langheinrich, and Oren Etzioni. Dynamic Reference Sifting: A case study in the homepage domain. In Proceedings of the Sixth International World Wide Web Conference, April 1997.

....associated with a particular individual. In contrast, our work focuses on individuals homepages and the connections between them, essentially allowing us to tap into both virtual and real world communities of people. Although homepage identification has been researched as a separate problem [8][12], to our knowledge this is the first link analysis on a network of homepages. Rather than discarding the previous concept that pages which share a topic are likely to link to one another, we can now use it to characterize relationships between people. For example, are people who mention dance ....

....world graphs, we expected networks of personal homepages to be small world graphs as well. We confirmed this intuition by analyzing the networks of personal homepages at Stanford and at MIT. Homepage networks arise because it is popular for students to mention their friends on their homepages [12], and link to those friends homepages if they exist. They might be imitating lists they ve seen on their friend s homepages, or they might even have been talked into creating a homepage, just so that their friends could link to it. For this study, we looked at all users having a homepage under ....

J. Sharkes, M. Langheinrich, and O. Etzioni, Dynamic Reference Sifting: a Case Study in the Homepage Domain, Proceedings of the Sixth International World Wide Web Conference, pp.189-200 (1997).

....a generic search engine. There are too many possible sites and pages to attempt to crawl at query time if the indexed pages are considered inadequate. It may however be possible when the search engine is dealing with a specific topic and has domain specific knowledge about where to look. AHOY [15] is an example of this. If it has not indexed a homepage that you are looking for then using heuristics it may be able to guess the address of the desired home page. 2.4. Specialized search at query time The three preceding sections have addressed different ways to build or access specialized ....

J. Shakes, M. Langheinrich, O. Etzioni. Dynamic Reference Sifting: A Case Study in the Homepage Domain. In proceedings of Sixth International Web Conference, WWW6, 1997.

....designated for authors. WebFind is less successful at finding actual papers, most of all because many authors have not yet published their papers on the worldwide web. V.F Related work This section reviews the work most related to WebFind. Two projects are described: Ahoy The Homepage Finder [Shakes et al. 1997a; Shakes et al. 1997b] and CiFi Citation Finder [Loke et al. 1996; Han et al. 1997] 77 V.F.1 Ahoy The Homepage Finder Ahoy is a web service which finds homepages given an individual s name plus possibly other information such as their country or the individual s institution. Ahoy is one ....

....WebFind is less successful at finding actual papers, most of all because many authors have not yet published their papers on the worldwide web. V.F Related work This section reviews the work most related to WebFind. Two projects are described: Ahoy The Homepage Finder [Shakes et al. 1997a; Shakes et al. 1997b] and CiFi Citation Finder [Loke et al. 1996; Han et al. 1997] 77 V.F.1 Ahoy The Homepage Finder Ahoy is a web service which finds homepages given an individual s name plus possibly other information such as their country or the individual s institution. Ahoy is one in a line of software ....

[Article contains additional citation context not shown here]

Jonathan Shakes, Marc Langheinrich, and Oren Etzioni. Dynamic reference sifting: a case study in the homepage domain. In Proceedings of the Sixth International World Wide Web Conference, pages 189--200, 1997. Also in http://www.cs.washington.edu/research/ahoy/doc/paper.html.

....[3] works in an off line setting. A general model of one user s interest is learned by asking the user to rate pages. Lira uses the model to browse the Web off line and returns a set of pages that match the user s interest. One related system that is closer in spirit to our work is Shakes et al. s [59] Ahoy system, which attempts to locate the home page of a person, given information such as the person s name, organizational affiliation etc. Ahoy uses knowledge of home page placement conventions to search for personal home pages, and in fact learns these conventions from experience. 9. ....

M. Shakes, J. Langheinrich, O. Etzioni, Dynamic reference sifting: A case study in the homepage domain, in: Proc. 6th International World Wide Web Conference, Santa Clara, CA, 1996.

....of on line documents. Conventional document retrieval systems return a (usually long) list of ranked documents based on a measure of each document s similarity to the original query [9] Some work with general queries and general web pages [8] while others are tailored to more focused tasks [10]. A second class of tools provide graphical means for accessing data based, for example, on inter document similarity [1, 12, 4] relationships to fixed attributes [11, 6] and query term distribution patterns [5] A third approach is to cluster the collection of documents. For example, ....

J. Shakes, M. Langheinrich, and O. Etzioni. Dynamic Reference Sifting: A Case Study in the Homepage Domain. In Proceedings of the 6th International World Wide Web Conference, 1997. http://proceedings. www6conf.org/HyperNews/get/PAPER39.html.

....define an abstract to be the first 300 words extracted from the paper. We extracted all of this information from the Web using pre existing utilities. To find reviewers home pages, we fed the names and affiliations of the members of the review committee into Ahoy, 2 a home page finding engine (Shakes, Langheinrich, Etzioni, 1997). When Ahoy returned at least one match, we supplied the URL as a starting point for w3mir, 3 an HTTP service that retrieves files from the contents of Web sites. We used 2. http: ahoy.cs.washington.edu:6060. 3. http: www.math.uio.no janl w3mir. 235 Basu, Hirsh, Cohen, Nevill Manning ....

Shakes, J., Langheinrich, M., & Etzioni, O. (1997). Dynamic reference sifting: a case study in the homepage domain. In Proceedings of WWW-97.

....we de#ne an abstract to be the #rst 300 words extracted from the paper. We extracted all of this information from the Web using pre existing utilities. To #nd reviewers home pages, we fed the names and a#liations of the members of the review committee into Ahoy, 2 a home page #nding engine #Shakes, Langheinrich, Etzioni, 1997#. When Ahoy returned at least one match, we supplied the URL as a starting point for w3mir, 3 an HTTP service that retrieves #les from the contents of Web sites. We used 2. http:##ahoy.cs.washington.edu:6060. 3. http:##www.math.uio.no##janl#w3mir. 235 Basu, Hirsh, Cohen, Nevill Manning ....

Shakes, J., Langheinrich, M., & Etzioni, O. #1997#. Dynamic reference sifting: a case study in the homepage domain. In Proceedings of WWW-97.

....time and network bandwidth consumed are excessive. Accordingly, such types of systems are suitable only for those domains that have few web sites. Reusing the large indices of general purpose search engines to build domain specific ones is a clever idea [Etzioni, 1996] For example, Ahoy 3 [Shakes et al. 1997] is a search engine specialized for finding personal homepages. It forwards the user s query to general purpose search engines and sifts out irrelevant documents from the returned ones to increase precision by domain specific filters. We call this the filtering model for building domain specific ....

Jonathan Shakes, Marc Langheinrich, and Oren Etzioni. Dynamic reference sifting: a case study in the homepage domain. In Proceedings of the 6th International World Wide Web Conference(WWW6), pages 189-- 200, 1997.

....hit list approach: The results of the query are automatically post processed, with the aim of structuring the output to suit better the user. For example, the suggested links can be arranged into groups (MetaCrawlerSTC [Zam98] or filtered in terms of picking specific types of page only (Ahoy [Sha98]) We have limited this overview to the task of finding WWW pages relevant to the information requirements of end users. Beyond, let us only briefly remark that a distinct area of research concentrates on direct access to WWW data by means of information mediators this approach entirely saves ....

.... sites, while some other may be invented across different sites; 8 possibly also extend the original set by pages considered as related (e.g. pages pointed to within several of the retrieved hits) Postprocessing will be based on heuristics similar to those presented e.g. in [Cra98] [Sha98], Spe97] The (procedural) heuristic rules will use WEB ONT as their common conceptualisation, and will map on the (declarative) empirical knowledge base mentioned in the end of section 2; more precisely, the recognition rulebase will use WEB ONT, while the output structuring rulebase will use ....

[Article contains additional citation context not shown here]

Shakes, J. - Langheinrich, M. - Etzioni, E.: Dynamic Reference Sifting: a Case Study in the Homepage Domain. In: Proc. of the 6th International World Wide Web Conference.

....developed in the last few years. One class of applications called Softbots, which are domain specific automated search tools for the WWW, searching autonomously for relevant web pages and user requested informations, are similar to our concept of a LogicRobot. But such existing systems like Ahoy [24] or Shopbot [7] use either tailored extraction techniques (Ahoy ) that are very domain specific or their extraction techniques are based on highly restrictive assumptions about the syntactical structure of a web page (Shopbot) Both systems do not follow the concept of a general TOKEN TEMPLATES ....

Jonathan Shakes, Marc Langheinrich, and Oren Etzioni. Dynamic reference sifting: A case study in the homepage domain. In Proceedings of the Sixth International World Wide Web Conference, pages 189--200, 1997.

....stored in the database to nd the best starting point. We have experimented with various search engines and combinations of them but have still to evaluate which lead to the best results. In addition, in the case of nding information about people, services such as the Ahoy HomePage Finder [SLE97] can be useful. The agent starts the search on the starting page by using the instructions that are stored in the home database. These instructions include pro les built by the user and hints that were found by the agent itself during a previous search to improve the work. Therefore, the ....

....versions. The Academia agent rst reads the name and WWW address of each person in the database to determine the search domain. If the agent does not nd a WWW address for a person, it tries to nd it by using a search component which combines the MetaCrawler [SE97] and the Ahoy Home Page Finder [SLE97]. This is modelled like the start page nder in our architecture de nition. In this case, the only search arguments are the rst and last name of the person and, of course, it is not certain whether relevant documents will be found. The agent performs a search with the best pages returned by the ....

J. Shakes, M. Langheinrich, and O. Etzioni. Dynamic Reference Sifting: A Case Study in the Homepage Domain. In Proc. of the Sixth Intl. World Wide Web Conference, Santa Clara, California, April 1997.

....is presented in Appendix A of this paper. The results of our empirical study illustrate that we can build an e#ective agent for a web based task quickly. 4.1. An Instructable and Adaptive Home Page Finder We chose the task of building a home page finder because of an existing system named Ahoy (Shakes et al. 1997), which provides a valuable benchmark. Ahoy uses a technique called Dynamic Reference Sifting, which filters the output of several Web indices and generates new guesses for urls when no promising candidates are found. We wrote a simple interface layered on top of Wawa that asks for whatever ....

.... which is sent to the five search engines mentioned earlier (i.e. AltaVista, Excite, InfoSeek, Lycos, and Yahoo) We compare the performance of Wawa with the performances of Ahoy and HotBot, a search engine not used by Wawa and the one that performed best in the home page experiments of Shakes et al. 1997). We provided the names in our test set to Ahoy via its Web interface. Ahoy uses MetaCrawler as its search engine, which queries nine search engines as opposed to Wawa which queries only five search engines. We ran HotBot under two di#erent conditions. The first setting performs a specialized ....

Shakes, J., M. Langheinrich, and O. Etzioni: 1997, `Dynamic Reference Sifting: A Case Study in the Homepage Domain'. In: Proceedings of the Sixth International World Wide Web Conference. Santa Clara, CA, pp. 189--200.

....of Competence (IACC) 98 describes some of the company s commercial agent products and technologies for the Web. One interesting area in intelligent Web robot research is adaptive Web services. Examples of services include: Ahoy The Homepage Finder, which performs dynamic reference sifting [Shakes et al. 1997]; Adaptive Web Sites, which automatically improve their organization and presentation based on user access data [Etzioni, Weld 1995] Perkowitz, Etzioni 1999] and Adaptive Web Page Recommendation Service [Balabanovi c 1997] Balabanovi c, Shoham] Balabanovi c et al. 1995] Discussion and ....

Shakes, J., Langheinrich, M., Etzioni, O., \Dynamic reference sifting: a case study in the homepage domain", Proc. Sixth Int'l. World Wide Web Conference

....to extract information from a given new page. We can extract first, middle, and last names from new pages by executing the algorithm presented in Table 1. EXPERIMENTS Originally, we [10] chose the task of building a home page finder to evaluate WAWA because of an existing system named Ahoy [9]. Ahoy uses a technique called Dynamic Reference Sifting (DRS) which filters the output of several Web indices and generates new guesses for URLs when no promising candidates are found. We were able to build our home page finder in a couple of days. We wrote about 80 general advice rules ....

Shakes, J., Langheinrich, M., & Etzioni, O. Dynamic Reference Sifting: A Case Study in the Homepage Domain, in Proc. 6 th Intl. World Wide Web Conf., pp. 189-200, 1997.

....[7] works in an off line setting. A general model of one user s interest is learned by asking the user to rate pages. Lira uses the model to browse the Web offline and returns a set of pages that match the user s interest. One related system that is closer in spirit to our work is Shakes et al. s [59] Ahoy system, which attempts to locate the home page of a person, given information such as the person s name, organizational affiliation etc. Ahoy uses knowledge of home page placement conventions to search for personal home pages, and in fact learns these conventions from experience. 9 ....

M. Shakes, J. Langheinrich and O. Etzioni. Dynamic reference sifting: a case study in the homepage domain. In Proceedings of Sixth International World Wide Web Conference, Santa Clara, CA, 1996.

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J. Shakes, M. Langheinrich, and O. Etzioni. Dynamic reference sifting: a case study in the homepage domain. In Proceedings of WWW-6, 1997.

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J. Shakes, M. Langheinrich, and O. Etzioni. Dynamic reference sifting: A case study in the homepage domain. In Proceedings of the 6th World Wide Web Conference, 1997.

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J. Shakes, M. Langheinrich, and O. Etzioni. Dynamic reference sifting: a case study in the homepage domain. In Proceedings of WWW-6, 1997.

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J. Shakes, M. Langheinrich, and O. Etzioni, "Dynamic Reference Sifting: A Case Study in the Homepage Domain," Proc. Sixth Int'l World Wide Web Conf. (WWW6), pp. 189-200 1997.

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J. Shakes, M. Langheinrich, O. Etzioni, Dynamic reference sifting: a case study in the homepage domain, Proc. 6th Intl. World Wide Web Conference, Computer Networks 29 (8 -- 13) (1997) 1193 -- 1204.

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Jonathan Shakes, Marc Langheinrich, and Oren Etzioni. Dynamic reference sifting: a case study in the homepage domain. In Proceedings of the 6th International World Wide Web Conference (WWW6), pages 189--200, 1997.

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