An infrastructure for open latent semantic linking

Macedo, Alessandra Alaniz; Pimentel, Maria da Graça Campos; Camacho-Guerrero, José Antonio

doi:10.1145/513368.513369

Cited by 7 publications

(15 citation statements)

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“…An automatic generation method for links by latent semantic indexing has been realized by using the result of the researches [19] [20]. These researches generate links extracted from homogeneous Web repositories.…”

Section: Related Workmentioning

confidence: 99%

SAVVY: A Semantic Associative Browsing System for Heterogeneous Knowledge Resources

Nakanishi

Zettsu

Kidawara

et al. 2009

2009 42nd Hawaii International Conference on System Sciences

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This paper presents a semantic associative browsing system called Semantic Association Various Viewpoint sYstem (SAVVY). Recently, the number of users who employ search engines for not only retrieving Web pages but also understanding or learning an arbitrary concept has been increasing. It is difficult to understand and learn an arbitrary concept by using most of the current search engines, because they provide a list of results according to the input keywords. The proposed approach represents the various relationships between arbitrary concepts as an outline. For example, it is assumed that a user wants information related to an input keyword. Current search engines represent a list of contents that match the keyword. The proposed approach dynamically represents various related concepts and contents on heterogeneous fields by using multiple views that are mutually synchronized. It helps to obtain various contents related to heterogeneous resources while understanding or learning an arbitrary concept.

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Section: Related Workmentioning

confidence: 99%

SAVVY: A Semantic Associative Browsing System for Heterogeneous Knowledge Resources

Nakanishi

Zettsu

Kidawara

et al. 2009

2009 42nd Hawaii International Conference on System Sciences

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“…The WebMemex prototype assists the users through a set of different infrastructures and applications supported by an open architecture. This system: (a) captures navigation using an extensible capture and access infrastructure [36]; (b) identifies semantic relationships between Web pages browsed by users using a linking server that manipulates semantic as similarity of terms according to Latent Semantic Indexing theory [27] [28]; (c) stores the associations identified in an open linkbase [8]; (d) handles the groups of people each user wants to share information with using The Yahoo! Messenger TM [5].…”

Section: Introductionmentioning

confidence: 99%

“…This service was experimented over two complementary repositories associated to the same material in a graduate course [30]. In another opportunity, we explored Latent Semantic Indexing [17] to overcome the polysemy 1 and synonymy 2 problems related to the use of lexical based analysis [28], manipulated the links in an OHS system [27] and supported feedback from users [26]. We have integrated the results of the research in a Web-based linking service called LinkDigger [10].…”

Section: Introductionmentioning

confidence: 99%

Automatically sharing web experiences through a hyperdocument recommender system

Macedo¹,

Truong

Camacho-Guerrero³

et al. 2003

Proceedings of the Fourteenth ACM Conference on Hypertext and Hypermedia

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As an approach that applies not only to support user navigation on the Web, recommender systems have been built to assist and augment the natural social process of asking for recommendations from other people. In a typical recommender system, people provide suggestions as inputs, which the system aggregates and directs to appropriate recipients. In some cases, the primary computation is in the aggregation; in others, the value of the system lies in its ability to make good matches between the recommenders and those seeking recommendations.In this paper, we discuss the architectural and design features of WebMemex, a system that (a) provides recommended information based on the captured history of navigation from a list of people well-known to the users -including the users themselves, (b) allows users to have access from any networked machine, (c) demands user authentication to access the repository of recommendations and (d) allows users to specify when the capture of their history should be performed.

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“…Macedo et al have developed services [17] that automatically identify links among homogeneous Web repositories using lexical matching, Latent Semantic Indexing [18] and integrating an open linkbase [11] to store the computed links. The infrastructure was redesigned for reuse in linking service called LinkDigger that also allowed user feedback [19], and used to built the WebMemex recommender service [12].…”

Section: Introductionmentioning

confidence: 99%

Linking Everyday Presentations through Context Information

Macedo¹,

Neto

Camacho-Guerrero

et al.

Third Latin American Web Congress (LA-WEB'2005)

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A relevant issue on linking services based on information retrieval techniques is how to define scopes that delimit homogeneous information so as to obtain good results. An interesting way to achieve this is to provide such scope delimitation by means of context information. This process of linking can be tailored according to contextual constraints explicitly provided by users. We propose linking services enhanced with context information captured from everyday presentations. We present the LinkDigger Context Service, which creates hyperlinks following information obtained from users. As a result, different hypertexts can be defined upon the same information.

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An infrastructure for open latent semantic linking

Cited by 7 publications

References 0 publications

SAVVY: A Semantic Associative Browsing System for Heterogeneous Knowledge Resources

SAVVY: A Semantic Associative Browsing System for Heterogeneous Knowledge Resources

Automatically sharing web experiences through a hyperdocument recommender system

Linking Everyday Presentations through Context Information

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