Papers by Andrei Tabarcea
Traditional location-based services use databases where all entries have been explicitly georefer... more Traditional location-based services use databases where all entries have been explicitly georeferenced beforehand. We propose an alternative approach based on web search and using ad-hoc georeferencing of web-pages. We denote it as locationbased search engine and emphasize its seemingly small but significant distinction from traditional location-based services. We outline how to construct such search engine and prove its effectiveness using a prototype called MOPSI search.
A bottleneck of constructing location-based web searches is that most web-pages do not contain an... more A bottleneck of constructing location-based web searches is that most web-pages do not contain any explicit geocoding such as geotags. Alternative solution can be based on ad-hoc georeferencing which relies on street addresses, but the problem is how to extract and validate the address strings from free-form text. We propose a rule-based pattern matching solution that detects address-based locations using a gazetteer and street-name prefix trees created from the gazetteer. We compare this approach against a method that doesn’t require a gazetteer (a heuristic method that assumes that street-name has a certain structure) and a method that also uses data structures created from the gazetteer in the form of street-name arrays. Experiments using our location based search engine prototype (MOPSI) for Finland and Singapore, show that the proposed prefix-tree solution is twice as fast and 10% more accurate than its rule-based alternative and 10 times faster if an array structure is used when accessing the gazetteer.
Location-based search engine is an alternative approach for information retrieval to traditional ... more Location-based search engine is an alternative approach for information retrieval to traditional location-based services based on fixed databases. This is a relatively new concept that aims at utilizing the location of user but without restricting to any fixed location-based service. In this paper, we outline a prototype solution for multimedia mobile phones based on web search, ad-hoc georeferencing, prefix tree structure and gazetteer. Experimental results show that the proposed solution finds search results that have higher or equal mean relevance than that of the GoogleMaps and YellowPages.
There is much information available, but the problem is how to find which is relevant. We present... more There is much information available, but the problem is how to find which is relevant. We present a context aware recommendation system, which recommends relevant location-based data. We study its performance within MOPSI service that includes fixed form maintained database and free form user collection.
Traditional location-based services use databases where all entries have been explicitly georefer... more Traditional location-based services use databases where all entries have been explicitly georeferenced beforehand. We propose an alternative approach based on web search and using ad-hoc georeferencing of web-pages. We denote it as locationbased search engine and emphasize its seemingly small but significant distinction from traditional location-based services. We outline how to construct such search engine and prove its effectiveness using a prototype called MOPSI search.
A bottleneck of constructing location-based web searches is that most web-pages do not contain an... more A bottleneck of constructing location-based web searches is that most web-pages do not contain any explicit geocoding such as geotags. Alternative solution can be based on ad-hoc georeferencing which relies on street addresses, but the problem is how to extract and validate the address strings from free-form text. We propose a rule-based pattern matching solution that detects address-based locations using a gazetteer and street-name prefix trees created from the gazetteer. We compare this approach against a method that doesn’t require a gazetteer (a heuristic method that assumes that street-name has a certain structure) and a method that also uses data structures created from the gazetteer in the form of street-name arrays. Experiments using our location based search engine prototype (MOPSI) for Finland and Singapore, show that the proposed prefix-tree solution is twice as fast and 10% more accurate than its rule-based alternative and 10 times faster if an array structure is used when accessing the gazetteer.
Location-based search engine is an alternative approach for information retrieval to traditional ... more Location-based search engine is an alternative approach for information retrieval to traditional location-based services based on fixed databases. This is a relatively new concept that aims at utilizing the location of user but without restricting to any fixed location-based service. In this paper, we outline a prototype solution for multimedia mobile phones based on web search, ad-hoc georeferencing, prefix tree structure and gazetteer. Experimental results show that the proposed solution finds search results that have higher or equal mean relevance than that of the GoogleMaps and YellowPages.
There is much information available, but the problem is how to find which is relevant. We present... more There is much information available, but the problem is how to find which is relevant. We present a context aware recommendation system, which recommends relevant location-based data. We study its performance within MOPSI service that includes fixed form maintained database and free form user collection.
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Papers by Andrei Tabarcea