Interactive Topic Graph Extraction and Exploration of Web Content

Proceedings of the 4th International Conference on Agents and Artificial Intelligence

2012

We present a mobile touchable application for online topic graph extraction and exploration of web content. The system has been implemented for operation on a tablet computer, i.e. an Apple iPad, and on a mobile device, i.e. Apple iPhone or iPod touch. The topics are extracted from web snippets which are determined by a standard search engine. We consider the extraction of topics as a specific empirical collocation extraction task where collocations are extracted between chunks combined with the cluster descriptions of an online clustering algorithm. Our measure of association strength is based on the pointwise mutual information between chunk pairs which explicitly takes their distance into account. These syntactically-oriented chunk pairs are then semantically ranked and filtered using the cluster descriptions. An initial user evaluation shows that this system is especially helpful for finding new interesting information on topics about which the user has only a vague idea or even no idea at all.

Section: Discussionmentioning

confidence: 99%

“…This part of the work has partially been presented in(Neumann and Schmeier, 2011) and hence will be described and illustrated compactly.…”

mentioning

confidence: 99%

Exploratory Search on the Mobile Web

Proceedings of the 4th International Conference on Agents and Artificial Intelligence

2012

“…In [Neumann and Schmeier, 2011] and [Neumann and Schmeier, 2012] we have shown that mobile touchable devices can be a very convenient way for realizing simple and intuitive exploratory search strategies and to provide an usable mobile device searches to "find out about something". The core idea of the underlying search strategy is:…”

Section: Introductionmentioning

confidence: 99%

Strategies for Guided Exploratory Search on the Mobile Web

Communications in Computer and Information Science

2013

Self Cite

We propose and develop new innovative methods for guided exploratory search on the mobile web. The approach has been fully implemented in a system called MobEx on a tablet, i.e. an Apple iPad, and on a mobile device/phone, i.e. Apple iPhone or iPod. Starting from a user's search query a set of web snippets is collected by a standard search engine in a first step. After that the snippets are collected into one document from which the topic graph is computed. This topic graph is presented to the user in different touchable and interactive graphical representations depending on the screensize of the mobile device. However due to possible semantic ambiguities in the search queries the snippets may cover different thematic areas and so the topic graph may contain associated topics for different semantic entities of the original query. This may lead the user to wrong directions while exploring the solution space. Hence we present our approach for an interactive disambiguation of the search query and so we provide assistance for the users towards a guided exploratory search.

“…In (Neumann and Schmeier, 2011) and (Neumann and Schmeier, 2012) we have shown that mobile touchable devices can be a very convenient way for realizing simple and intuitive exploratory search strategies and to provide an usable mobile device searches to "find out about something". The core idea of the underlying search strategy is: 1.…”

Section: Introductionmentioning

confidence: 99%

Guided Exploratory Search on the Mobile Web

Proceedings of the International Conference on Knowledge Discovery and Information Retrieval

2012

We present a mobile touchable application for guided exploration of web content and online topic graph extraction that has been successfully implemented on a tablet, i.e. an Apple iPad, and on a mobile device/phone, i.e. Apple iPhone or iPod. Starting from a user's search query a set of web snippets is collected by a standard search engine in a first step. After that the snippets are collected into one document from which the topic graph is computed. This topic graph is presented to the user in different touchable and interactive graphical representations depending on the screensize of the mobile device. However due to possible semantic ambiguities in the search queries the snippets may cover different thematic areas and so the topic graph may contain associated topics for different semantic entities of the original query. This may lead the user to wrong directions while exploring the solution space. Hence we present our approach for an interactive disambiguation of the search query and so we provide assistance for the users towards a guided exploratory search.