Browsing Posts tagged Search Engine

With the advent of the Web, search has become the prominent paradigm for information seeking, both across the online space and within enterprises. Search frameworks and components can be used to build search-based applications in diverse vertical fields. However, no precise engineering methods and approaches have been devised for this class of applications.

This tutorial, offered at the 10th International Conference on Web Engineering, presents the peculiarities of advanced Web search applications, describes some tools and techniques that can be exploited, and offers a methodological approach to development. The approach proposed in this tutorial is based on the paradigm of Model Driven Development (MDD), where models are the core artifacts of the application life-cycle and model transformations progressively refine models to achieve an executable version of the system. To cope with the process-intensive nature of the main interactions (i.e., content analysis, query management, etc.), we describe the use of Process Models (e.g., BPMN models). Indeed, search-based applications are considered as process- and content-intensive applications, due to the trends towards exploratory search and search as a process visions.

Apple has recently announced the acquisition of Siri, an application that includes voice recognition and search capabilities.

As some experts suggest (see John Battelle’s blog), Apple could be looking for a search engine for its App Store. As of April 8, 2010, there are at least 185,000 third-party applications available on the App Store.

The engine should not crawl the web and will not be a competitor of Google; it will suggests applications and services to be download/bought, according to the user interaction with the device. continue reading…

Today we discuss on an article published by the Search Engine Land blog, where the author is making a strong case for Search Computing.

The author says:

Business buyers use search engines throughout the entire research and buying process.

We couldn’t agree more. Next Generation Web Search will be a switch in user behavior paradigms: asRicardo Baeza-Yates and Prabhakar Raghavan state in the Search Computing: Challenges and Directions book:

… people do not really want to search, they want to get tasks done…

So, What are business buyers looking for?

…  According to a B2B survey conducted by Enquiro and Marketing Sherpa, buyers are primarily looking for:

  1. Pricing information
  2. Product information
  3. Reviews and comparisons

As buyers move into the research and comparison phases, they start to formalize their needs and evaluate alternatives. Product information related to features and functionality, technical spec sheets, buyer guides and comparison charts are valuable.

An holistic view over such a variegated type of information requires machineries able to query the Web and (meaningfully) join correlated data. This is one of the goals of Search Computing, and you may enjoy a first example of our vision by trying our first demonstration application.

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