Michelle Q. Wang Baldonado

Bio: Michelle Q. Wang Baldonado is an academic researcher from Xerox. The author has contributed to research in topics: Digital library & Metadata. The author has an hindex of 15, co-authored 30 publications receiving 1864 citations. Previous affiliations of Michelle Q. Wang Baldonado include PARC & Stanford University.

Guidelines for using multiple views in information visualization

Abstract: A multiple view system uses two or more distinct views to support the investigation of a single conceptual entity. Many such systems exist, ranging from computer-aided design (CAD) systems for chip design that display both the logical structure and the actual geometry of the integrated circuit to overview-plus-detail systems that show both an overview for context and a zoomed-in-view for detail. Designers of these systems must make a variety of design decisions, ranging from determining layout to constructing sophisticated coordination mechanisms. Surprisingly, little work has been done to characterize these systems or to express guidelines for their design. Based on a workshop discussion of multiple views, and based on our own design and implementation experience with these systems, we present eight guidelines for the design of multiple view systems.

The Stanford Digital Library Metadata Architecture

Abstract: The overall goal of the Stanford Digital Library project is to provide an infrastructure that affords interoperability among heterogeneous, autonomous digital library services. These services include both search services and remotely usable information processing facilities. In this paper, we survey and categorize the metadata required for a diverse set of Stanford Digital Library services that we have built. We then propose an extensible metadata architecture that meets these requirements. Our metadata architecture fits into our established infrastructure and promotes interoperability among existing and de-facto metadata standards. Several pieces of this architecture are implemented; others are under construction. The architecture includes attribute model proxies, attribute model translation services, metadata information facilities for search services, and local metadata repositories. In presenting and discussing the pieces of the architecture, we show how they address our motivating requirements. Together, these components provide, exchange, and describe metadata for information objects and metadata for information services. We also consider how our architecture relates to prior, relevant work on these two types of metadata.

SenseMaker: an information-exploration interface supporting the contextual evolution of a user's interests

Abstract: We describe the design and implementation of SenseMaker, an interface for information exploration across heterogeneous sources. We also discuss lessons learned from a pilot study of the system. Our focus throughout is on how SenseMaker supports the context-driven evolution of a user's interests. SenseMaker makes it easier for the user to: (1) examine the current context, and (2) progress from one context to the next. SenseMaker works by approximating the current context as the current collection of accumulated information references. Users examine their current context by experimenting iteratively with different organizing dimensions and levels of granularity for the current collec tion's display. They progress from one context to another by building upon, taking away from, or replacing the current collection. They can also return to previous contexts and continue exploring from there.

Systems and methods for performing crawl searches and index searches

Abstract: The systems and methods described herein allow a user to perform localized searching from a standard web browser. In particular, the systems and methods of this invention use a two-prong approach to accomplish both a dynamic breadth-first crawl search and a contextualize index search to generate search results. The search results are then assembled in a unified results page and displayed to a user.

Method and apparatus for presenting e-mail threads as semi-connected text by removing redundant material

Abstract: The method and apparatus of the present invention identifies the logical components of a message, determines the conversational relationships among messages and then structures and formats the core components into a single document to facilitate efficient assimilation of the structure and content of the contained conversations. The message analysis technique delineates the material to be retained and omitted using a combination of a recursive descent analyzer and a single weighted finite state machine for the core process.

Inferring Web communities from link topology

Abstract: The World Wide Web grows through a decentralized, almost anarchic process, and this has resulted in a large hyperlinked corpus without the kind of logical organization that can be built into more tradit,ionally-created hypermedia. To extract, meaningful structure under such circumstances, we develop a notion of hyperlinked communities on the www t,hrough an analysis of the link topology. By invoking a simple, mathematically clean method for defining and exposing the structure of these communities, we are able to derive a number of themes: The communities can be viewed as containing a core of central, “authoritative” pages linked togh and they exhibit a natural type of hierarchical topic generalization that can be inferred directly from the pat,t,ern of linkage. Our investigation shows that although the process by which users of the Web create pages and links is very difficult to understand at a “local” level, it results in a much greater degree of orderly high-level structure than has typically been assumed.

Contextual responses based on automated learning techniques

Abstract: Techniques are disclosed for using a combination of explicit and implicit user context modeling techniques to identify and provide appropriate computer actions based on a current context, and to continuously improve the providing of such computer actions. The appropriate computer actions include presentation of appropriate content and functionality. Feedback paths can be used to assist automated machine learning in detecting patterns and generating inferred rules, and improvements from the generated rules can be implemented with or without direct user control. The techniques can be used to enhance software and device functionality, including self-customizing of a model of the user's current context or situation, customizing received themes, predicting appropriate content for presentation or retrieval, self-customizing of software user interfaces, simplifying repetitive tasks or situations, and mentoring of the user to promote desired change.

Automated selection of appropriate information based on a computer user's context

Abstract: A system filters received messages (e.g., unsolicited advertisements) to determine if they are appropriate for a user based on the non-static, constantly evolving, context of the user. The system can track the user's context by monitoring various environmental parameters, such as related to the user's physical, mental, computing and data environments, and can model the current context of the user based at least in part on the monitoring. The system selects a set of one or more filters to apply to incoming messages based on the user's context, and the selected filters can be updated as the user's context changes. Messages that survive the filters are then evaluated against the user's context to determine whether they should be presented immediately or stored for delayed presentation.

Guidelines for using multiple views in information visualization

Abstract: A multiple view system uses two or more distinct views to support the investigation of a single conceptual entity. Many such systems exist, ranging from computer-aided design (CAD) systems for chip design that display both the logical structure and the actual geometry of the integrated circuit to overview-plus-detail systems that show both an overview for context and a zoomed-in-view for detail. Designers of these systems must make a variety of design decisions, ranging from determining layout to constructing sophisticated coordination mechanisms. Surprisingly, little work has been done to characterize these systems or to express guidelines for their design. Based on a workshop discussion of multiple views, and based on our own design and implementation experience with these systems, we present eight guidelines for the design of multiple view systems.