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The classic Web search experience, consisting of returning “ten blue links” in response to a short user query, is powered today by a mature technology where progress has become incremental and expensive. Furthermore, the “ten blue links” represent only a fractional part of the total Web search experience: today, what users expect and receive in response to a “web query” is a plethora of multi-media...
Search computing queries typically address search tasks that go beyond a single interaction. In this paper, we show a query paradigm that supports multi-step, exploratory search over multiple Web data sources. Our paradigm requires users to be aware of searching over “interconnected objects” with given semantics, but each exploration step is simplified as much as possible, by presenting to users at...
This paper reports the main findings of a panel about trends in search engine interaction, focused upon the use of search engines for performing complex processes. The discussion focuses on the different evolutionary path followed by search engines with respect to other Web and information management solutions, making end users acquainted with the simplistic and never changing keyword-based query...
While the web is often described in terms of access to information, it is also a place where people do things from booking hotel rooms, to completing their tax return. This paper outlines the ways in which search can form a part of a more action-based view of web interaction. The simplest is that search can be action that the user is performing to get information. However, search can also be used...
We discuss the ways in which search services need to adapt to device and setting to cater for, not only the characteristics of the devices, but also the different types of search typically carried out in different settings. We then discuss the specific challenges of mobile settings before going on to look at opportunities offered by new forms of large interactive surfaces such as digital tabletops.
This chapter focuses on the visualization of multi-domain search results. We start by positioning the problem in the recent line of evolution of search engine interfaces, which more and more are capable of mining semantic concepts and associations from text data and presenting them in sophisticated ways that depend on the type of the extracted data. The approach to visualization proposed in search...
The Semantic Resource Framework (SRF) is a multi-level description of the data sources for search computing applications. It responds to the need of having a structured representation of search services, amenable to service exploration, selection, and invocation. The SRF aims at extending the Service Mart model used so far in search computing to overcome some of its limitations. The main new features...
Normalization and lexical annotation methods, developed in the context of matching systems, have proven to be effective for the discovery of lexical relationships among schemata. We will show how these methods are applicable and effective in the context of Semantic Resource Framework to mine the semantics of a web service interface and to discover mappings between them.
In the Search Computing project, Web services are modeled by the Semantic Resource Framework (SRF). In this article, we argue that the SRF could benefit from ontological concepts borrowed from the Semantic Web. We first present the knowledge representation used in the Semantic Web, notably in the YAGO ontology [14]. We show how this model is used in the ANGIE system [12] to represent Web Services...
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