Jaap Kamps
From WikiPapers
| Jaap Kamps (Alternative names for this author) | |
| Affiliation | Unknown [+] |
| Country | Unknown [+] |
| Co-authors | Arjen De Vries, Junte Zhang, Khairun Fachry, Marijn Koolen, Pavel Serdyukov, Rianne Kaptein |
| Website | Unknown [+] |
| Statistics | |
| Authorship | Publications (8), datasets (0), tools (0) |
| Citations | Total (0), average (0), median (0), max (0), min (0) |
| Keywords | |
| Search | |
| DBLP · Google Scholar | |
| Export and share | |
| BibTeX, CSV, RDF, JSON | |
      
| |
| Browse properties · List of authors | |
Jaap Kamps is an author.
Publications
Only those publications related to wikis are shown here.| Title | Keyword(s) | Published in | Language | DateThis property is a special property in this wiki. | Abstract | R | C |
|---|---|---|---|---|---|---|---|
| Focus and element length for book and wikipedia retrieval | INEX | English | 2011 | 0 | 0 | ||
| Entity ranking using Wikipedia as a pivot | Web entity ranking Wikipedia |
CIKM | English | 2010 | 0 | 0 | |
| Focused search in books and Wikipedia: categories, links and relevance feedback | INEX | English | 2010 | 0 | 0 | ||
| Linking Wikipedia to the web | English | 2010 | We investigate the task of finding links from Wikipedia pages to external web pages. Such external links significantly extend the information in Wikipedia with information from the Web at large, while retaining the encyclopedic organization of Wikipedia. We use a language modeling approach to create a full-text and anchor text runs, and experiment with different document priors. In addition we explore whether social bookmarking site Delicious can be exploited to further improve our performance. We have constructed a test collection of 53 topics, which are Wikipedia pages on different entities. Our findings are that the anchor text index is a very effective method to retrieve home pages. Url class and anchor text length priors and their combination leads to the best results. Using Delicious on its own does not lead to very good results, but it does contain valuable information. Combining the best anchor text run and the Delicious run leads to further improvements. | 0 | 0 | ||
| Is Wikipedia link structure different? | Wikipedia Link evidence Information retrieval |
WSDM | English | 2009 | 0 | 0 | |
| Using wikipedia categories for ad hoc search | Ad hoc retrieval Category information Wikipedia |
SIGIR | English | 2009 | 0 | 0 | |
| The Importance of Link Evidence in Wikipedia | English | 2008 | Wikipedia is one of the most popular information sources on the Web. The free encyclopedia is densely linked. The link structure in Wikipedia differs from the Web at large: internal links in Wikipedia are typically based on words naturally occurring in a page, and link to another semantically related entry. Our main aim is to find out if Wikipedia’s link structure can be exploited to improve ad hoc information retrieval. We first analyse the relation between Wikipedia links and the relevance of pages. We then experiment with use of link evidence in the focused retrieval of Wikipedia content, based on the test collection of INEX 2006. Our main findings are: First, our analysis of the link structure reveals that the Wikipedia link structure is a (possibly weak) indicator of relevance. Second, our experiments on INEX ad hoc retrieval tasks reveal that if the link evidence is made sensitive to the local context we see a significant improvement of retrieval effectiveness. Hence, in contrast with earlier TREC experiments using crawled Web data, we have shown that Wikipedia’s link structure can help improve the effectiveness of ad hoc retrieval. | 0 | 0 | ||
| Using and Detecting Links in Wikipedia | English | 2008 | In this paper, we document our efforts at INEX 2007 where we participated in the Ad Hoc Track, the Link the Wiki Track, and the Interactive Track that continued from INEX 2006. Our main aims at INEX 2007 were the following. For the Ad Hoc Track, we investigated the effectiveness of incorporating link evidence into the model, and of a CAS filtering method exploiting the structural hints in the INEX topics. For the Link the Wiki Track, we investigated the relative effectiveness of link detection based on retrieving similar documents with the Vector Space Model, and then filter with the names of Wikipedia articles to establish a link. For the Interactive Track, we took part in the interactive experiment comparing an element retrieval system with a passage retrieval system. The main results are the following. For the Ad Hoc Track, we see that link priors improve most of our runs for the Relevant in Context and Best in Context Tasks, and that CAS pool filtering is effective for the Relevant in Context and Best in Context Tasks. For the Link the Wiki Track, the results show that detecting links with name matching works relatively well, though links were generally under-generated, which hurt the performance. For the Interactive Track, our test-persons showed a weak preference for the element retrieval system over the passage retrieval system. | 0 | 0 |
