Archive for Information Retrieval

Microsoft Acquires Powerset

Confirmed: Microsoft Acquires Powerset – ReadWriteWeb

The software giant has finally acquired Powerset. I hope the technology of Powerset will be expanded to span the entire web instead of just Wikipedia which is the case now. It will be interesting to see how effective that will be compared to keyword and page rank based robust technology of Google. It is important that giants like Microsoft and Google demonstrate semantic applications rather than conservatively sticking to simple keyword based technologies. However, I am not sure if natural language querying will be more effective and appealing than keyword search. I think it is much easier to do keyword queries than typing in full questions.

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OntoBlog: Linking Ontology and Blogs

OntoBlog: Linking Ontology and Blogs

I presented this paper in the Semantic Authoring, Annotation and Knowledge Markup Workshop (SAAKM 2007) co-located with the 4th International Conference on Knowledge Capture (K-Cap 2007), Whistler, British Columbia, Canada. It was an interesting workshop followed up by enthusiastic discussions.

Online proceedings is available here.  You can download my paper here and these are my slides.

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SWSE

SWSE
Semantic Web Search Engine SWSE, pronounced “swizzy”. Cool name 😉  I think it is different from Swoogle. Lets try.

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Beyond Google: The Invisible Web

Beyond Google: The Invisible Web

Here is a good list of selected publications about the invisible web or the deep web.

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Talis

Talis

Came across this new Semantic Web application platform. They say the platform comprises a powerful combination of Semantic Web, information retrieval, collective intelligence and behavioural mining technologies .

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Product Pipeline

Product Pipeline – 10/15/2006 – netConnect
Melissa L. Rethlefsen looks at social reference managers and what they mean for librarians

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Clustering comes to Flickr

Clustering comes to Flickr

I recently noticed that Flickr now shows clustering of tags – something I wanted to do.

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Automated Tag Clustering: Improving search and exploration in the tag space

Automated Tag Clustering: Improving search and exploration in the tag space
Summary

The use of clustering techniques enhances the user experience and thus the success of collaborative tagging services. We show that clustering techniques can improve the user experience of current tagging services. We first describe current limitations of tagging services, second, we give an overview of existing approaches. We then describe the algorithms we used for tag clustering and give experimental results and a variety of conclusions.

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Using Ontologies to Strengthen Folksonomies and Enrich Information Retrieval in Weblogs: Theoretical background and corporate use-case

ICWSM || Full Paper || Using Ontologies to Strengthen Folksonomies and Enrich Information Retrieval in Weblogs: Theoretical background and corporate use-case

This work is similar to my thesis on semantic blogging. Tags are mapped to ontology in this work while blog entries are directly mapped to ontology in my work.

Abstract:
While free-tagging classification is widely used in social software implementations and especially in weblogs, it raises various issues regarding information retrieval. In this paper, we describe an approach that mixes folksonomies and semantic web technologies in order to solve some of these problems, and to enrich information retrieval capabilities among blog posts.
We first introduce the corporate context of the study and the issues we have faced that motivated our approach. Then, we argue how the use of domain ontologies combined with the SIOC vocabulary on the top of an existing folksonomy and weblogging platform offers a way to get rid of free-tagging classification flaws, and enhances information retrieval by suggesting related blog posts.
Aside of the theoretical background, this paper also focuses on implementation. We present experimental results of this approach through the example of add-ons to a corporate blogging platform and the associated semantic web search engine, that extensively uses RDF and other semantic web technologies to find appropriate information and suggest related posts.

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Tutorial on Document Clustering

Tutorial on Document Clustering

Tutorials and software packages for clustering.

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